Top Deep learning repositories on GitHub
Neural network frameworks, training utilities, and model zoos.
Ranked by stars across 10,363 repositories tagged deep-learning. Refreshed daily.
- 1tensorflow/tensorflow★ 195,782 · ⑂ 75,194
An Open Source Machine Learning Framework for Everyone
- tensorflow
- machine-learning
- python
- deep-learning
- deep-neural-networks
- neural-network
- 2AUTOMATIC1111/stable-diffusion-webui★ 163,802 · ⑂ 30,365
Stable Diffusion web UI
- deep-learning
- diffusion
- image-generation
- image2image
- img2img
- text2image
- 3huggingface/transformers★ 161,762 · ⑂ 33,563
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
- nlp
- natural-language-processing
- pytorch
- pytorch-transformers
- transformer
- model-hub
- 4pytorch/pytorch★ 100,914 · ⑂ 28,070
Tensors and Dynamic neural networks in Python with strong GPU acceleration
- neural-network
- autograd
- gpu
- numpy
- deep-learning
- tensor
- 5rasbt/LLMs-from-scratch★ 97,465 · ⑂ 14,927
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
- gpt
- large-language-models
- llm
- python
- pytorch
- ai
- 6opencv/opencv★ 89,295 · ⑂ 56,656
Open Source Computer Vision Library
- opencv
- c-plus-plus
- computer-vision
- deep-learning
- image-processing
- 7Developer-Y/cs-video-courses★ 81,877 · ⑂ 11,307
List of Computer Science courses with video lectures.
- computer-science
- algorithms
- systems
- databases
- machine-learning
- web-development
- 8d2l-ai/d2l-zh★ 78,462 · ⑂ 12,274
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
- deep-learning
- book
- notebook
- natural-language-processing
- computer-vision
- machine-learning
- 9dair-ai/Prompt-Engineering-Guide★ 75,798 · ⑂ 8,266
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
- deep-learning
- prompt-engineering
- openai
- chatgpt
- language-model
- generative-ai
- 10labmlai/annotated_deep_learning_paper_implementations★ 66,978 · ⑂ 6,713
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
- deep-learning
- deep-learning-tutorial
- pytorch
- gan
- transformers
- reinforcement-learning
- 11keras-team/keras★ 64,095 · ⑂ 19,735
Deep Learning for humans
- deep-learning
- tensorflow
- neural-networks
- machine-learning
- data-science
- python
- 12CorentinJ/Real-Time-Voice-Cloning★ 59,925 · ⑂ 9,405
Clone a voice in 5 seconds to generate arbitrary speech in real-time
- deep-learning
- pytorch
- tensorflow
- tts
- voice-cloning
- python
- 13ultralytics/ultralytics★ 58,614 · ⑂ 11,232
Ultralytics YOLO 🚀
- hub
- ultralytics
- yolov8
- yolo
- deep-learning
- image-classification
- 14ultralytics/yolov5★ 57,543 · ⑂ 17,464
Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite
- yolov3
- yolov5
- object-detection
- pytorch
- onnx
- coreml
- 15deepfakes/faceswap★ 55,295 · ⑂ 13,364
Deepfakes Software For All
- faceswap
- face-swap
- deep-learning
- deeplearning
- deep-neural-networks
- deepfakes
- 16Avik-Jain/100-Days-Of-ML-Code★ 51,286 · ⑂ 11,550
100 Days of ML Coding
- machine-learning
- machine-learning-algorithms
- infographics
- tutorial
- siraj-raval-challenge
- siraj-raval
- 17microsoft/AI-For-Beginners★ 48,317 · ⑂ 10,017
12 Weeks, 24 Lessons, AI for All!
- deep-learning
- artificial-intelligence
- machine-learning
- ai
- computer-vision
- nlp
- 18GokuMohandas/Made-With-ML★ 48,291 · ⑂ 7,594
Learn how to develop, deploy and iterate on production-grade ML applications.
- machine-learning
- deep-learning
- pytorch
- natural-language-processing
- data-science
- python
- 19coqui-ai/TTS★ 45,590 · ⑂ 6,120
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
- python
- text-to-speech
- deep-learning
- speech
- pytorch
- tts
- 20streamlit/streamlit★ 45,020 · ⑂ 4,291
Streamlit — A faster way to build and share data apps.
- python
- machine-learning
- data-science
- deep-learning
- data-visualization
- streamlit
- 21microsoft/qlib★ 44,891 · ⑂ 7,119
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
- quantitative-finance
- machine-learning
- stock-data
- platform
- finance
- algorithmic-trading
- 22roboflow/supervision★ 44,729 · ⑂ 3,967
We write your reusable computer vision tools. 💜
- computer-vision
- image-processing
- python
- yolo
- instance-segmentation
- object-detection
- 23asgeirtj/system_prompts_leaks★ 43,952 · ⑂ 7,281
Extracted system prompts from Anthropic - Claude Fable 5, Opus 4.8, Claude Code, Claude Design. OpenAI - ChatGPT 5.5 Thinking, GPT 5.5 Instant, Codex. Google - Gemini 3.5 Flash, 3.1 Pro, Antigravity. xAI - Grok, Cursor, Copilot, VS Code, Perplexity, and more. Updated regularly.
- ai
- anthropic
- awesome
- chatbot
- chatgpt
- claude
- 24aymericdamien/TensorFlow-Examples★ 43,748 · ⑂ 14,707
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
- tensorflow
- tutorial
- examples
- deep-learning
- python
- machine-learning
- 25gradio-app/gradio★ 42,970 · ⑂ 3,505
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
- machine-learning
- models
- ui
- ui-components
- interface
- python
Find engineers shipping Deep learning
The list above ranks the most-starred public repositories tagged with the Deep learning topic, drawn from the public GitHub graph. Across 10,363 repositories tagged this way, the maintainers and top contributors are a tight cluster of the people actually building Deep learning.
Looking for engineers who’ve worked on Deep learning for real, not just listed it on LinkedIn? The fastest path is the contributor list of these repos. Their commits, issues, and READMEs are public proof of depth.
Refolk turns this list into a search. Ask for “maintainers of top Deep learning repos who are hiring”, “Deep learning engineers in San Francisco”, or “founders shipping Deep learning” and Refolk returns a ranked shortlist with sources.
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