Top Python Deep learning repositories on GitHub
Neural network frameworks, training utilities, and model zoos. Filtered to projects whose primary language is Python.
Ranked by stars across 8,661 Python repositories tagged deep-learning. Refreshed daily.
- 1AUTOMATIC1111/stable-diffusion-webui★ 162,750 · ⑂ 30,311
Stable Diffusion web UI
- deep-learning
- diffusion
- image-generation
- image2image
- img2img
- text2image
- 2huggingface/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
- 3pytorch/pytorch★ 99,711 · ⑂ 27,695
Tensors and Dynamic neural networks in Python with strong GPU acceleration
- neural-network
- autograd
- gpu
- numpy
- deep-learning
- tensor
- 4d2l-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
- 5labmlai/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
- 6keras-team/keras★ 64,060 · ⑂ 19,765
Deep Learning for humans
- deep-learning
- tensorflow
- neural-networks
- machine-learning
- data-science
- python
- 7CorentinJ/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
- 8ultralytics/yolov5★ 57,335 · ⑂ 17,482
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
- yolov3
- yolov5
- object-detection
- pytorch
- onnx
- coreml
- 9ultralytics/ultralytics★ 56,820 · ⑂ 10,921
Ultralytics YOLO 🚀
- hub
- ultralytics
- yolov8
- yolo
- deep-learning
- image-classification
- 10deepfakes/faceswap★ 55,214 · ⑂ 13,403
Deepfakes Software For All
- faceswap
- face-swap
- deep-learning
- deeplearning
- deep-neural-networks
- deepfakes
- 11coqui-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
- 12streamlit/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
- 13gradio-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
- 14ray-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
- 15deepspeedai/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
- 16microsoft/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
- 17hpcaitech/ColossalAI★ 41,375 · ⑂ 4,515
Making large AI models cheaper, faster and more accessible
- deep-learning
- hpc
- large-scale
- data-parallelism
- pipeline-parallelism
- model-parallelism
- 18floodsung/Deep-Learning-Papers-Reading-Roadmap★ 39,496 · ⑂ 7,308
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
- deep-learning
- 19roboflow/supervision★ 38,361 · ⑂ 3,414
We write your reusable computer vision tools. 💜
- computer-vision
- image-processing
- python
- yolo
- instance-segmentation
- object-detection
- 20TencentARC/GFPGAN★ 37,447 · ⑂ 6,278
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
- pytorch
- gan
- deep-learning
- super-resolution
- face-restoration
- image-restoration
- 21babysor/MockingBird★ 36,897 · ⑂ 5,217
🚀Clone a voice in 5 seconds to generate arbitrary speech in real-time
- ai
- speech
- pytorch
- deep-learning
- text-to-speech
- tts
- 22huggingface/diffusers★ 33,568 · ⑂ 6,966
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
- deep-learning
- diffusion
- image-generation
- pytorch
- score-based-generative-modeling
- image2image
- 23explosion/spaCy★ 33,546 · ⑂ 4,679
💫 Industrial-strength Natural Language Processing (NLP) in Python
- natural-language-processing
- data-science
- machine-learning
- python
- cython
- nlp
- 24yunjey/pytorch-tutorial★ 32,320 · ⑂ 8,247
PyTorch Tutorial for Deep Learning Researchers
- deep-learning
- pytorch-tutorial
- neural-networks
- pytorch
- 25eriklindernoren/ML-From-Scratch★ 31,421 · ⑂ 5,265
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
- machine-learning
- deep-learning
- deep-reinforcement-learning
- machine-learning-from-scratch
- data-science
- data-mining
Find Python engineers shipping Deep learning
The list above ranks the most-starred public Python repositories tagged with the Deep learning topic, drawn from the public GitHub graph. Across 8,661 matching repositories, the contributors are a tight cluster of engineers with both Python chops and real Deep learning experience.
That overlap is rare. Most Python engineers haven’t shipped Deep learning, and most Deep learning maintainers don’t write Python. The people on this list’s contributor graph are the ones who do both.
Refolk turns this list into a search. Ask for “Python Deep learning maintainers hiring” or “Python engineers shipping Deep learning in 2025” and Refolk returns a ranked shortlist with the commits, profiles, and projects behind each name.
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