Top Deep learning repositories on GitHub
Neural network frameworks, training utilities, and model zoos.
Ranked by stars across 10,295 repositories tagged deep-learning. Refreshed daily.
- 1tensorflow/tensorflow★ 195,025 · ⑂ 75,277
An Open Source Machine Learning Framework for Everyone
- tensorflow
- machine-learning
- python
- deep-learning
- deep-neural-networks
- neural-network
- 2AUTOMATIC1111/stable-diffusion-webui★ 162,750 · ⑂ 30,311
Stable Diffusion web UI
- deep-learning
- diffusion
- image-generation
- image2image
- img2img
- text2image
- 3huggingface/transformers★ 160,327 · ⑂ 33,126
🤗 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★ 99,711 · ⑂ 27,695
Tensors and Dynamic neural networks in Python with strong GPU acceleration
- neural-network
- autograd
- gpu
- numpy
- deep-learning
- tensor
- 5rasbt/LLMs-from-scratch★ 92,069 · ⑂ 14,225
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
- chatgpt
- gpt
- large-language-models
- llm
- python
- pytorch
- 6opencv/opencv★ 87,359 · ⑂ 56,550
Open Source Computer Vision Library
- opencv
- c-plus-plus
- computer-vision
- deep-learning
- image-processing
- 7Developer-Y/cs-video-courses★ 81,033 · ⑂ 11,213
List of Computer Science courses with video lectures.
- computer-science
- algorithms
- systems
- databases
- machine-learning
- web-development
- 8d2l-ai/d2l-zh★ 77,696 · ⑂ 12,281
《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★ 74,277 · ⑂ 8,030
🐙 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★ 66,547 · ⑂ 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★ 64,060 · ⑂ 19,765
Deep Learning for humans
- deep-learning
- tensorflow
- neural-networks
- machine-learning
- data-science
- python
- 12CorentinJ/Real-Time-Voice-Cloning★ 59,722 · ⑂ 9,403
Clone a voice in 5 seconds to generate arbitrary speech in real-time
- deep-learning
- pytorch
- tensorflow
- tts
- voice-cloning
- python
- 13ultralytics/yolov5★ 57,335 · ⑂ 17,482
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
- yolov3
- yolov5
- object-detection
- pytorch
- onnx
- coreml
- 14ultralytics/ultralytics★ 56,820 · ⑂ 10,921
Ultralytics YOLO 🚀
- hub
- ultralytics
- yolov8
- yolo
- deep-learning
- image-classification
- 15deepfakes/faceswap★ 55,214 · ⑂ 13,403
Deepfakes Software For All
- faceswap
- face-swap
- deep-learning
- deeplearning
- deep-neural-networks
- deepfakes
- 16Avik-Jain/100-Days-Of-ML-Code★ 50,860 · ⑂ 11,507
100 Days of ML Coding
- machine-learning
- machine-learning-algorithms
- infographics
- tutorial
- siraj-raval-challenge
- siraj-raval
- 17GokuMohandas/Made-With-ML★ 47,510 · ⑂ 7,480
Learn how to develop, deploy and iterate on production-grade ML applications.
- machine-learning
- deep-learning
- pytorch
- natural-language-processing
- data-science
- python
- 18microsoft/AI-For-Beginners★ 47,253 · ⑂ 9,730
12 Weeks, 24 Lessons, AI for All!
- deep-learning
- artificial-intelligence
- machine-learning
- ai
- computer-vision
- nlp
- 19coqui-ai/TTS★ 45,242 · ⑂ 6,073
🐸💬 - 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★ 44,475 · ⑂ 4,229
Streamlit — A faster way to build and share data apps.
- python
- machine-learning
- data-science
- deep-learning
- data-visualization
- streamlit
- 21aymericdamien/TensorFlow-Examples★ 43,779 · ⑂ 14,750
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
- tensorflow
- tutorial
- examples
- deep-learning
- python
- machine-learning
- 22gradio-app/gradio★ 42,519 · ⑂ 3,434
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
- machine-learning
- models
- ui
- ui-components
- interface
- python
- 23ray-project/ray★ 42,442 · ⑂ 7,531
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
- ray
- distributed
- parallel
- machine-learning
- reinforcement-learning
- deep-learning
- 24deepspeedai/DeepSpeed★ 42,269 · ⑂ 4,820
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
- deep-learning
- pytorch
- gpu
- machine-learning
- billion-parameters
- data-parallelism
- 25microsoft/qlib★ 42,122 · ⑂ 6,630
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
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 10,295 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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