zamal/github-meta-data · Datasets at Hugging Face

input stringlengths 10 229	target stringlengths 22 194
Cross-platform desktop apps using Electron and React	electron, desktop-apps, cross-platform, react, javascript, frontend
Resources for building real-time dashboards with Node.js and D3.js	real-time, dashboards, nodejs, d3, data-visualization, javascript
Gamified learning platforms to teach web development to kids	gamified-learning, web-development, kids, education, learn-to-code
Responsive web design tutorials using CSS Flexbox and Grid	css, flexbox, grid, responsive, tutorials, web-design, frontend
Teaching modern JavaScript ES6 concepts to beginners	javascript, es6, education, beginner, modern-js, teaching
Recommended open source books for full stack JavaScript developers	books, fullstack, javascript, open-source, resources, developers
Free React templates and UI kits for rapid development	react, templates, ui-kits, free, frontend, development
Introductory lessons on JavaScript closures and scopes	javascript, closures, scope, lessons, beginner, functions
Awesome curated lists for web development in 2025	awesome-list, web-development, javascript, curated, 2025
Comprehensive React and D3 integration tutorials	react, d3, integration, tutorials, charts, data-visualization
Node.js projects for teaching server-side logic	nodejs, projects, backend, teaching, education, server-side
Free workshops for learning frontend frameworks like React and Vue	frontend, react, vue, workshops, free, frameworks, javascript
Free open-source boilerplates for JavaScript and Node.js apps	boilerplates, javascript, nodejs, open-source, templates, apps
Interactive exercises for learning JavaScript syntax	javascript, exercises, syntax, interactive, learning, beginner
Best coding bootcamps that use JavaScript and React	bootcamp, javascript, react, education, frontend, learn-to-code
Resources for building single-page apps using React Router	react, spa, single-page-app, router, javascript, frontend
Introduction to using SVG with D3 for data visualization	d3, svg, data-visualization, javascript, charts, tutorials
Complete curriculum for teaching full stack JavaScript in schools	curriculum, fullstack, javascript, education, schools, teaching
Free web development learning paths from beginner to advanced	web-development, learning-path, beginner, advanced, frontend, backend
How to use NPM scripts for JavaScript project automation	npm, javascript, scripts, automation, build-tools, project
Best online coding communities for teachers	coding-communities, teachers, education, programming, support
Educational tools for teaching async programming in JavaScript	javascript, async, education, tools, teaching, promises, callbacks
Best tools for visual debugging of JavaScript code	javascript, debugging, tools, visual, developer-tools
Comparison of open-source UI frameworks: React vs Vue vs Svelte	react, vue, svelte, ui-frameworks, open-source, comparison
What are the most effective deep learning frameworks for computer vision in 2025?	deep-learning, computer-vision, frameworks, pytorch, tensorflow, vision-models
Tutorials for building object detection models using YOLOv8 in Python	object-detection, yolov8, computer-vision, python, tutorials, deep-learning
Best open datasets for training NLP models on sentiment analysis	nlp, datasets, sentiment-analysis, text-classification, machine-learning, open-datasets
How to use transformers for question answering tasks in natural language processing	transformers, question-answering, nlp, huggingface, language-models, bert
Free courses to learn computer vision and deep learning from scratch	computer-vision, deep-learning, education, courses, beginner, free-resources
Implementing real-time face recognition using OpenCV and deep learning	face-recognition, opencv, real-time, computer-vision, deep-learning, python
Top research papers on diffusion models for image generation	diffusion-models, image-generation, research-papers, ai, generative-models, computer-vision
How to fine-tune LLaMA 3 on a custom NLP dataset	llama3, fine-tuning, nlp, transformers, language-models, custom-dataset
Best practices for building production-ready ML pipelines	ml-pipeline, machine-learning, production, best-practices, deployment, data-engineering
What are the differences between convolutional neural networks and vision transformers?	cnn, vision-transformers, computer-vision, deep-learning, architecture, comparison
Open source tools for exploring large language models interactively	llm, open-source, tools, interactive, nlp, large-language-models
Tutorial for building a chatbot using RAG and vector databases	chatbot, rag, vector-database, retrieval-augmented-generation, nlp, langchain
Papers and repositories to learn about self-supervised learning in vision	self-supervised-learning, computer-vision, research-papers, repositories, unsupervised-learning
How to implement an image captioning model using CLIP and GPT	image-captioning, clip, gpt, multimodal, computer-vision, nlp
Best Python libraries for training and evaluating ML models	python, machine-learning, libraries, model-training, model-evaluation, ml-tools
What are the top use cases of generative AI in natural language generation?	generative-ai, nlg, use-cases, nlp, applications, ai
Using Hugging Face Transformers for Named Entity Recognition	huggingface, transformers, ner, nlp, named-entity-recognition, models
Building a recommendation engine with collaborative filtering and neural networks	recommendation-engine, collaborative-filtering, neural-networks, machine-learning, deep-learning
How to deploy computer vision models with ONNX Runtime	computer-vision, onnx, deployment, inference, model-serving, runtime
Explain how reinforcement learning works with examples	reinforcement-learning, examples, ai, agent-based, deep-rl, q-learning
Which models are best for real-time object tracking in videos?	object-tracking, real-time, video-analysis, computer-vision, deep-learning, models
List of Kaggle competitions for mastering NLP tasks	kaggle, competitions, nlp, datasets, challenges, text-mining
How to train a text summarization model using Pegasus or BART	text-summarization, bart, pegasus, nlp, training, language-models
Building a multimodal AI system that can understand both images and text	multimodal, vision-language, ai, image-text, models, deep-learning
Best beginner-friendly repositories to learn about deep learning	deep-learning, beginner, repositories, education, github, resources
What are the current benchmarks for evaluating LLM performance?	llm, benchmarks, evaluation, performance, nlp, language-models
How does zero-shot learning work in NLP and image classification?	zero-shot-learning, nlp, image-classification, transfer-learning, ai
Tutorial on using AutoML tools like Google Vertex AI or H2O	automl, google-vertex-ai, h2o, no-code, machine-learning, tutorials
Explain the difference between semantic search and keyword search	semantic-search, keyword-search, nlp, search, embeddings, information-retrieval
Top GitHub repos for computer vision models and training pipelines	github, computer-vision, models, pipelines, deep-learning, repositories
Best pre-trained models for OCR and handwriting recognition	ocr, handwriting-recognition, pretrained-models, computer-vision, nlp
Resources to understand prompt engineering for LLMs	prompt-engineering, llm, nlp, language-models, techniques, tutorials
What is few-shot learning and how does it work in NLP?	few-shot-learning, nlp, language-models, examples, ai, training
Tutorial to train a GAN for anime face generation	gan, image-generation, anime, deep-learning, computer-vision, generative-models
Tools for dataset labeling and annotation in computer vision	dataset-labeling, annotation, computer-vision, tools, image-datasets
Understanding how attention mechanism works in transformers	attention-mechanism, transformers, deep-learning, nlp, neural-networks
Building a fake news detection system using NLP techniques	fake-news, text-classification, nlp, transformers, misinformation
Popular diffusion models for image-to-image translation	diffusion-models, image-translation, generative-ai, computer-vision, ai
How to detect anomalies in time series data with deep learning	anomaly-detection, time-series, deep-learning, forecasting, ai
Voice cloning using neural networks and speech synthesis models	voice-cloning, speech-synthesis, neural-networks, audio, ai
Fine-tuning BERT for spam detection in emails	bert, spam-detection, email, nlp, fine-tuning, classification
Image segmentation with U-Net in PyTorch	image-segmentation, unet, pytorch, computer-vision, deep-learning
Audio classification using spectrograms and CNNs	audio-classification, spectrograms, cnn, deep-learning, audio, ai
Face detection vs face recognition in computer vision	face-detection, face-recognition, computer-vision, comparison, ai
Using OpenAI Whisper for multilingual speech-to-text	whisper, openai, speech-to-text, multilingual, audio, nlp
Training a classification model using scikit-learn	classification, scikit-learn, machine-learning, python, training
Best transformers for code understanding and generation	code-generation, code-understanding, transformers, llm, programming, ai
How to use embeddings and vector databases in AI applications	embeddings, vector-database, nlp, search, ai, vector-search
How can I build a machine learning model to detect fraudulent credit card transactions using Python?	fraud-detection, credit-card, machine-learning, python, classification, anomaly-detection
Looking for PyTorch implementations of image classification models trained on CIFAR-10 or ImageNet	pytorch, image-classification, cifar10, imagenet, deep-learning, computer-vision
What is the best open-source project to learn about large-scale multi-label text classification using transformers?	multi-label-classification, transformers, text-classification, nlp, large-scale, huggingface
Searching for examples of graph neural networks for social network analysis	graph-neural-networks, gnn, social-network-analysis, pytorch-geometric, machine-learning, graphs
GitHub repo for training a BERT-based model for intent classification in chatbots	bert, intent-classification, chatbot, nlp, transformers, conversational-ai
How to implement real-time lane detection using OpenCV and deep learning?	lane-detection, real-time, opencv, computer-vision, deep-learning, autonomous-driving
What are the best repositories for learning reinforcement learning using PyTorch and OpenAI Gym?	reinforcement-learning, pytorch, openai-gym, deep-rl, rl-agents, tutorials
Looking for tutorials and projects that use Deep Q-Learning for game playing	deep-q-learning, reinforcement-learning, games, ai, dqn, tutorials
Examples of using diffusion models for generating realistic human faces	diffusion-models, image-generation, ai, human-faces, generative-models, computer-vision
How to apply unsupervised clustering on high-dimensional image embeddings?	unsupervised-learning, clustering, image-embeddings, dimensionality-reduction, computer-vision
Searching for GitHub repos that use Transformers for multilingual translation tasks	transformers, multilingual, translation, nlp, language-models, huggingface
Training a semantic segmentation model for aerial imagery	semantic-segmentation, aerial-imagery, satellite-images, computer-vision, deep-learning
How to use T5 or FLAN-T5 for abstractive summarization of long documents?	t5, flan-t5, abstractive-summarization, nlp, transformers, long-documents
Looking for examples of tabular data classification using XGBoost or LightGBM	xgboost, lightgbm, tabular-data, classification, machine-learning, boosting
Projects that demonstrate using Whisper for audio transcription and language identification	whisper, audio-transcription, language-identification, speech-recognition, nlp, openai
How to generate SQL queries from natural language using an LLM?	text-to-sql, llm, nlp, natural-language-interface, sql-generation, transformers
Implementing a document Q&A system using LangChain and vector search	document-qa, langchain, vector-search, rag, nlp, chatbot
Repositories that show multimodal transformers combining audio and text	multimodal, audio-text, transformers, nlp, speech, vision-language
How to train a Siamese network for image similarity search?	siamese-network, image-similarity, contrastive-learning, computer-vision, deep-learning
Best resources for deploying ML models with FastAPI and Docker	ml-deployment, fastapi, docker, model-serving, python, machine-learning
GitHub repositories that use Vision Transformers for fine-grained image classification	vision-transformers, fine-grained-classification, computer-vision, vit, deep-learning
How to use OpenCV and MediaPipe for human pose estimation?	pose-estimation, mediapipe, opencv, computer-vision, real-time, human-pose
Tutorials on building AI-powered recommendation systems using collaborative filtering	recommendation-system, collaborative-filtering, ai, machine-learning, deep-learning
What are the best practices for evaluating bias in NLP datasets?	bias-detection, nlp, datasets, fairness, ethics, evaluation
Looking for computer vision models that classify skin diseases from dermoscopic images	skin-disease, medical-imaging, computer-vision, classification, deep-learning
How to create a language model from scratch using only NumPy?	language-model, from-scratch, numpy, nlp, llm, education
GitHub repositories demonstrating the use of LLaMA or Mistral for fine-tuning with QLoRA	llama, mistral, qlora, fine-tuning, transformers, nlp
Examples of zero-shot image classification using CLIP	clip, zero-shot, image-classification, computer-vision, openai, multimodal

Cross-platform desktop apps using Electron and React

electron, desktop-apps, cross-platform, react, javascript, frontend

Resources for building real-time dashboards with Node.js and D3.js

real-time, dashboards, nodejs, d3, data-visualization, javascript

Gamified learning platforms to teach web development to kids

gamified-learning, web-development, kids, education, learn-to-code

Responsive web design tutorials using CSS Flexbox and Grid

css, flexbox, grid, responsive, tutorials, web-design, frontend

Teaching modern JavaScript ES6 concepts to beginners

javascript, es6, education, beginner, modern-js, teaching

Recommended open source books for full stack JavaScript developers

books, fullstack, javascript, open-source, resources, developers

Free React templates and UI kits for rapid development

react, templates, ui-kits, free, frontend, development

Introductory lessons on JavaScript closures and scopes

javascript, closures, scope, lessons, beginner, functions

Awesome curated lists for web development in 2025

awesome-list, web-development, javascript, curated, 2025

Comprehensive React and D3 integration tutorials

react, d3, integration, tutorials, charts, data-visualization

Node.js projects for teaching server-side logic

nodejs, projects, backend, teaching, education, server-side

Free workshops for learning frontend frameworks like React and Vue

frontend, react, vue, workshops, free, frameworks, javascript

Free open-source boilerplates for JavaScript and Node.js apps

boilerplates, javascript, nodejs, open-source, templates, apps

Interactive exercises for learning JavaScript syntax

javascript, exercises, syntax, interactive, learning, beginner

Best coding bootcamps that use JavaScript and React

bootcamp, javascript, react, education, frontend, learn-to-code

Resources for building single-page apps using React Router

react, spa, single-page-app, router, javascript, frontend

Introduction to using SVG with D3 for data visualization

d3, svg, data-visualization, javascript, charts, tutorials

Complete curriculum for teaching full stack JavaScript in schools

curriculum, fullstack, javascript, education, schools, teaching

Free web development learning paths from beginner to advanced

web-development, learning-path, beginner, advanced, frontend, backend

How to use NPM scripts for JavaScript project automation

npm, javascript, scripts, automation, build-tools, project

Best online coding communities for teachers

coding-communities, teachers, education, programming, support

Educational tools for teaching async programming in JavaScript

javascript, async, education, tools, teaching, promises, callbacks

Best tools for visual debugging of JavaScript code

javascript, debugging, tools, visual, developer-tools

Comparison of open-source UI frameworks: React vs Vue vs Svelte

react, vue, svelte, ui-frameworks, open-source, comparison

What are the most effective deep learning frameworks for computer vision in 2025?

deep-learning, computer-vision, frameworks, pytorch, tensorflow, vision-models

Tutorials for building object detection models using YOLOv8 in Python

object-detection, yolov8, computer-vision, python, tutorials, deep-learning

Best open datasets for training NLP models on sentiment analysis

nlp, datasets, sentiment-analysis, text-classification, machine-learning, open-datasets

How to use transformers for question answering tasks in natural language processing

transformers, question-answering, nlp, huggingface, language-models, bert

Free courses to learn computer vision and deep learning from scratch

computer-vision, deep-learning, education, courses, beginner, free-resources

Implementing real-time face recognition using OpenCV and deep learning

face-recognition, opencv, real-time, computer-vision, deep-learning, python

Top research papers on diffusion models for image generation

diffusion-models, image-generation, research-papers, ai, generative-models, computer-vision

How to fine-tune LLaMA 3 on a custom NLP dataset

llama3, fine-tuning, nlp, transformers, language-models, custom-dataset

Best practices for building production-ready ML pipelines

ml-pipeline, machine-learning, production, best-practices, deployment, data-engineering

What are the differences between convolutional neural networks and vision transformers?

cnn, vision-transformers, computer-vision, deep-learning, architecture, comparison

Open source tools for exploring large language models interactively

llm, open-source, tools, interactive, nlp, large-language-models

Tutorial for building a chatbot using RAG and vector databases

chatbot, rag, vector-database, retrieval-augmented-generation, nlp, langchain

Papers and repositories to learn about self-supervised learning in vision

self-supervised-learning, computer-vision, research-papers, repositories, unsupervised-learning

How to implement an image captioning model using CLIP and GPT

image-captioning, clip, gpt, multimodal, computer-vision, nlp

Best Python libraries for training and evaluating ML models

python, machine-learning, libraries, model-training, model-evaluation, ml-tools

What are the top use cases of generative AI in natural language generation?

generative-ai, nlg, use-cases, nlp, applications, ai

Using Hugging Face Transformers for Named Entity Recognition

huggingface, transformers, ner, nlp, named-entity-recognition, models

Building a recommendation engine with collaborative filtering and neural networks

recommendation-engine, collaborative-filtering, neural-networks, machine-learning, deep-learning

How to deploy computer vision models with ONNX Runtime

computer-vision, onnx, deployment, inference, model-serving, runtime

Explain how reinforcement learning works with examples

reinforcement-learning, examples, ai, agent-based, deep-rl, q-learning

Which models are best for real-time object tracking in videos?

object-tracking, real-time, video-analysis, computer-vision, deep-learning, models

List of Kaggle competitions for mastering NLP tasks

kaggle, competitions, nlp, datasets, challenges, text-mining

How to train a text summarization model using Pegasus or BART

text-summarization, bart, pegasus, nlp, training, language-models

Building a multimodal AI system that can understand both images and text

multimodal, vision-language, ai, image-text, models, deep-learning

Best beginner-friendly repositories to learn about deep learning

deep-learning, beginner, repositories, education, github, resources

What are the current benchmarks for evaluating LLM performance?

llm, benchmarks, evaluation, performance, nlp, language-models

How does zero-shot learning work in NLP and image classification?

zero-shot-learning, nlp, image-classification, transfer-learning, ai

Tutorial on using AutoML tools like Google Vertex AI or H2O

automl, google-vertex-ai, h2o, no-code, machine-learning, tutorials

Explain the difference between semantic search and keyword search

semantic-search, keyword-search, nlp, search, embeddings, information-retrieval

Top GitHub repos for computer vision models and training pipelines

github, computer-vision, models, pipelines, deep-learning, repositories

Best pre-trained models for OCR and handwriting recognition

ocr, handwriting-recognition, pretrained-models, computer-vision, nlp

Resources to understand prompt engineering for LLMs

prompt-engineering, llm, nlp, language-models, techniques, tutorials

What is few-shot learning and how does it work in NLP?

few-shot-learning, nlp, language-models, examples, ai, training

Tutorial to train a GAN for anime face generation

gan, image-generation, anime, deep-learning, computer-vision, generative-models

Tools for dataset labeling and annotation in computer vision

dataset-labeling, annotation, computer-vision, tools, image-datasets

Understanding how attention mechanism works in transformers

attention-mechanism, transformers, deep-learning, nlp, neural-networks

Building a fake news detection system using NLP techniques

fake-news, text-classification, nlp, transformers, misinformation

Popular diffusion models for image-to-image translation

diffusion-models, image-translation, generative-ai, computer-vision, ai

How to detect anomalies in time series data with deep learning

anomaly-detection, time-series, deep-learning, forecasting, ai

Voice cloning using neural networks and speech synthesis models

voice-cloning, speech-synthesis, neural-networks, audio, ai

Fine-tuning BERT for spam detection in emails

bert, spam-detection, email, nlp, fine-tuning, classification

Image segmentation with U-Net in PyTorch

image-segmentation, unet, pytorch, computer-vision, deep-learning

Audio classification using spectrograms and CNNs

audio-classification, spectrograms, cnn, deep-learning, audio, ai

Face detection vs face recognition in computer vision

face-detection, face-recognition, computer-vision, comparison, ai

Using OpenAI Whisper for multilingual speech-to-text

whisper, openai, speech-to-text, multilingual, audio, nlp

Training a classification model using scikit-learn

classification, scikit-learn, machine-learning, python, training

Best transformers for code understanding and generation

code-generation, code-understanding, transformers, llm, programming, ai

How to use embeddings and vector databases in AI applications

embeddings, vector-database, nlp, search, ai, vector-search

How can I build a machine learning model to detect fraudulent credit card transactions using Python?

fraud-detection, credit-card, machine-learning, python, classification, anomaly-detection

Looking for PyTorch implementations of image classification models trained on CIFAR-10 or ImageNet

pytorch, image-classification, cifar10, imagenet, deep-learning, computer-vision

What is the best open-source project to learn about large-scale multi-label text classification using transformers?

multi-label-classification, transformers, text-classification, nlp, large-scale, huggingface

Searching for examples of graph neural networks for social network analysis

graph-neural-networks, gnn, social-network-analysis, pytorch-geometric, machine-learning, graphs

GitHub repo for training a BERT-based model for intent classification in chatbots

bert, intent-classification, chatbot, nlp, transformers, conversational-ai

How to implement real-time lane detection using OpenCV and deep learning?

lane-detection, real-time, opencv, computer-vision, deep-learning, autonomous-driving

What are the best repositories for learning reinforcement learning using PyTorch and OpenAI Gym?

reinforcement-learning, pytorch, openai-gym, deep-rl, rl-agents, tutorials

Looking for tutorials and projects that use Deep Q-Learning for game playing

deep-q-learning, reinforcement-learning, games, ai, dqn, tutorials

Examples of using diffusion models for generating realistic human faces

diffusion-models, image-generation, ai, human-faces, generative-models, computer-vision

How to apply unsupervised clustering on high-dimensional image embeddings?

unsupervised-learning, clustering, image-embeddings, dimensionality-reduction, computer-vision

Searching for GitHub repos that use Transformers for multilingual translation tasks

transformers, multilingual, translation, nlp, language-models, huggingface

Training a semantic segmentation model for aerial imagery

semantic-segmentation, aerial-imagery, satellite-images, computer-vision, deep-learning

How to use T5 or FLAN-T5 for abstractive summarization of long documents?

t5, flan-t5, abstractive-summarization, nlp, transformers, long-documents

Looking for examples of tabular data classification using XGBoost or LightGBM

xgboost, lightgbm, tabular-data, classification, machine-learning, boosting

Projects that demonstrate using Whisper for audio transcription and language identification

whisper, audio-transcription, language-identification, speech-recognition, nlp, openai

How to generate SQL queries from natural language using an LLM?

text-to-sql, llm, nlp, natural-language-interface, sql-generation, transformers

Implementing a document Q&A system using LangChain and vector search

document-qa, langchain, vector-search, rag, nlp, chatbot

Repositories that show multimodal transformers combining audio and text

multimodal, audio-text, transformers, nlp, speech, vision-language

How to train a Siamese network for image similarity search?

siamese-network, image-similarity, contrastive-learning, computer-vision, deep-learning

Best resources for deploying ML models with FastAPI and Docker

ml-deployment, fastapi, docker, model-serving, python, machine-learning

GitHub repositories that use Vision Transformers for fine-grained image classification

vision-transformers, fine-grained-classification, computer-vision, vit, deep-learning

How to use OpenCV and MediaPipe for human pose estimation?

pose-estimation, mediapipe, opencv, computer-vision, real-time, human-pose

Tutorials on building AI-powered recommendation systems using collaborative filtering

recommendation-system, collaborative-filtering, ai, machine-learning, deep-learning

What are the best practices for evaluating bias in NLP datasets?

bias-detection, nlp, datasets, fairness, ethics, evaluation

Looking for computer vision models that classify skin diseases from dermoscopic images

skin-disease, medical-imaging, computer-vision, classification, deep-learning

How to create a language model from scratch using only NumPy?

language-model, from-scratch, numpy, nlp, llm, education

GitHub repositories demonstrating the use of LLaMA or Mistral for fine-tuning with QLoRA

llama, mistral, qlora, fine-tuning, transformers, nlp

Examples of zero-shot image classification using CLIP

clip, zero-shot, image-classification, computer-vision, openai, multimodal