Topics / #deep-neural-networks

Deep-neural-networks projects on GitHub

Deep network architectures and implementations for learning tasks.

As of , the most-starred Deep-neural-networks projects on GitHub are tensorflow (201.2K stars), faceswap (57.6K stars) and ailearning (42.6K stars). GitHub.Locker tracks 32 Deep-neural-networks repositories with 786K stars combined. The fastest-growing on October 18 was tensorflow, with +89 stars in a day.

32Projects
786KStars in total
+197Stars in a day
Browse in the catalog →github.com/topics/deep-neural-networks ↗

Hot right now

Most stars gained in a day · Oct 18

+89

tensorflow

tensorflow/tensorflow · ★ 201.2K

TensorFlow is an open source machine learning platform for building and deploying ML-powered applications.

+38

timesfm

google-research/timesfm · ★ 34.6K

TimesFM is a pretrained time-series foundation model from Google Research used for time-series forecasting, similar in spirit to a language model but for numerical sequences.

+14

openpi

Physical-Intelligence/openpi · ★ 14.3K

openpi is a collection of open-source vision-language-action (VLA) models for robotics from the Physical Intelligence team, including pi0, pi0-FAST, and pi0.5, with pretrained checkpoints and code for fine-tuning and running them.

+7

onnx

onnx/onnx · ★ 21.6K

ONNX (Open Neural Network Exchange) is an open standard for machine learning interoperability — an open ecosystem and format for AI models, both deep learning and traditional ML.

The all-time top

32 projects · by stars

  1. #1 · tensorflow/tensorflow

    tensorflow

    TensorFlow is an open source machine learning platform for building and deploying ML-powered applications.

    201.2K
  2. #2 · deepfakes/faceswap

    faceswap

    FaceSwap is a Python tool that uses deep learning to recognize and swap faces in pictures and videos.

    57.6K
  3. #3 · apachecn/ailearning

    ailearning

    AiLearning is a Chinese-language, practice-first study guide covering data analysis, machine learning, linear algebra, PyTorch, NLTK, and TensorFlow 2, built mainly around code-along notes for the book 'Machine Learning in Action'.

    42.6K
  1. 4

    Deep-Learning-Papers-Reading-Roadmap

    39.6Kfloodsung/Deep-Learning-Papers-Reading-Roadmap · Python

    A curated, structured reading roadmap of landmark deep learning papers, organized to guide a newcomer from history and basics through methods and applications to the state of the art.

  2. 5

    timesfm

    34.6Kgoogle-research/timesfm · Python

    TimesFM is a pretrained time-series foundation model from Google Research used for time-series forecasting, similar in spirit to a language model but for numerical sequences.

  3. 6

    insightface

    30Kdeepinsight/insightface · Python

    An open-source 2D and 3D deep face analysis toolbox that efficiently implements state-of-the-art face recognition, detection and alignment, optimized for both training and deployment.

  4. 7

    deep-learning-for-image-processing

    26.4KWZMIAOMIAO/deep-learning-for-image-processing · Python

    A video-based deep learning course that walks through classic computer-vision architectures for image classification, object detection, segmentation and keypoint detection, pairing each network with a lecture and runnable code.

  5. 8

    awesome-deep-learning-papers

    26.2Kterryum/awesome-deep-learning-papers · TeX

    A curated list of the most-cited deep learning papers published between 2012 and 2016, picked as must-read classics across research domains.

  6. 9

    PlotNeuralNet

    25KHarisIqbal88/PlotNeuralNet · TeX

    PlotNeuralNet is a collection of LaTeX code for drawing neural network diagrams for reports and presentations, with ready-made examples like FCN-8 and FCN-32.

  7. 10

    learnopencv

    23.2Kspmallick/learnopencv · Jupyter Notebook

    This is the companion code repository for the LearnOpenCV.com blog, containing C++ and Python examples that accompany articles on computer vision, deep learning, and AI research.

  8. 11

    onnx

    21.6Konnx/onnx · Python

    ONNX (Open Neural Network Exchange) is an open standard for machine learning interoperability — an open ecosystem and format for AI models, both deep learning and traditional ML.

  9. 12

    DeepFaceLab

    19.3Kiperov/DeepFaceLab · Python

    DeepFaceLab is a deep-learning toolkit for creating deepfakes - it lets you replace a face, de-age a face, or even replace an entire head in video footage.

  10. 13

    mamba

    18.9Kstate-spaces/mamba · Python

    Mamba is a state space model architecture for sequence modeling with linear-time scaling. It shows promising performance on information-dense data like language modeling, where earlier subquadratic models fell short of Transformers; this repo is its PyTorch implementation.

  11. 14

    Machine-Learning-Tutorials

    18.3Kujjwalkarn/Machine-Learning-Tutorials

    A topic-wise curated list of machine learning and deep learning tutorials, articles and other resources, maintained as a single GitHub README.

  12. 15

    CNTK

    17.6Kmicrosoft/CNTK · C++

    The Microsoft Cognitive Toolkit (CNTK) is an open-source deep-learning toolkit that describes neural networks as a series of computational steps in a directed graph.

  13. 16

    openface

    15.4Kcmusatyalab/openface · Lua

    OpenFace is a free, open-source face recognition toolkit built on deep neural networks, developed by Carnegie Mellon University.

  14. 17

    vosk-api

    15.2Kalphacep/vosk-api · Jupyter Notebook

    Vosk is an offline, open-source speech recognition toolkit that transcribes speech to text in over 20 languages and dialects, running entirely on-device without needing an internet connection.

  15. 18

    alphafold

    14.9Kgoogle-deepmind/alphafold · Python

    AlphaFold is Google DeepMind's open source implementation of the AlphaFold v2 inference pipeline, which predicts 3D protein structures from amino acid sequences, plus a work-in-progress AlphaFold-Multimer model for protein complexes.

  16. 19

    dalle-mini

    14.7Kborisdayma/dalle-mini · Python

    DALL·E Mini is an open-source model that generates images from a text prompt, built as a smaller, reproducible version of OpenAI's DALL·E.

  17. 20

    conv_arithmetic

    14.7Kvdumoulin/conv_arithmetic · TeX

    This is a technical report (paper) explaining convolution arithmetic in deep learning, paired with a set of animated GIFs that visualize how different convolution operations behave.

  18. 21

    openpi

    14.3KPhysical-Intelligence/openpi · Python

    openpi is a collection of open-source vision-language-action (VLA) models for robotics from the Physical Intelligence team, including pi0, pi0-FAST, and pi0.5, with pretrained checkpoints and code for fine-tuning and running them.

  19. 22

    deep-learning-drizzle

    13Kkmario23/deep-learning-drizzle · HTML

    A curated index that collects links to full video lectures and course materials for Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision and NLP courses taught at top universities worldwide.

  20. 23

    the-incredible-pytorch

    12.7Kritchieng/the-incredible-pytorch

    A curated list of tutorials, papers, projects, libraries, videos, books and communities related to PyTorch, covering everything from basic deep learning to LLMs, agentic AI, and reinforcement learning.

  21. 24

    pix2code

    12Ktonybeltramelli/pix2code · Python

    pix2code is a research project that trains a deep learning model to generate code from a single GUI screenshot, reporting over 77% accuracy for three different target platforms.

  22. 25

    deep_learning_object_detection

    11.4Khoya012/deep_learning_object_detection · Python

    A curated paper list of object detection using deep learning, covering the field from 2014 to 2020 with links to each paper's PDF and code.

  23. 26

    pix2pix

    10.7Kphillipi/pix2pix · Lua

    This is the original Torch/Lua implementation accompanying the pix2pix paper (CVPR 2017), which learns to translate images from one style into another — e.g. label maps to photos, or sketches to shoes — using a conditional GAN.

  24. 27

    stanford-tensorflow-tutorials

    10.4Kchiphuyen/stanford-tensorflow-tutorials · Python

    This is the code repository for Stanford's CS 20 course, 'TensorFlow for Deep Learning Research,' containing the example code used throughout the lectures.

  25. 28

    lama

    10.3Kadvimman/lama · Jupyter Notebook

    LaMa is an AI image inpainting model with its research code: it removes unwanted objects and fills in large missing regions of photos using Fourier convolutions, staying reliable even at high resolutions. It is the official code of a WACV 2022 paper.

  26. 29

    techniques

    10.3Ksatellite-image-deep-learning/techniques

    A curated list of techniques for deep learning with satellite and aerial imagery, covering architectures, models and algorithms for tasks like classification, segmentation and object detection.

  27. 30

    Attention-Residuals

    3.5KMoonshotAI/Attention-Residuals

    AttnRes (Attention Residuals) is a drop-in replacement for standard residual connections in Transformers, letting each layer use learned, input-dependent attention over all previous layer outputs instead of simple additive accumulation.

  28. 31

    LittleBit

    285SamsungLabs/LittleBit · Python

    LittleBit is the official research code for compressing large language models to sub-1-bit precision (down to 0.1 bits per weight) by factorizing each weight matrix into low-rank latent factors and binarizing them, with magnitude restored through learned scales. It also includes LittleBit-2, a follow-up that improves initialization via latent geometry alignment.

  29. 32

    pluto

    275tscmoo/pluto

    Pluto is an AI bot for StarCraft: Brood War — a single neural network trained end-to-end by self-play reinforcement learning that plays macro and micro for all three races, with no scripted logic.

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