Topics / #deeplearning

Deeplearning projects on GitHub

Alternate spelling tag for the deep learning topic.

As of , the most-starred Deeplearning projects on GitHub are faceswap (57.6K stars), ailearning (42.6K stars) and VoxCPM (39.6K stars). GitHub.Locker tracks 22 Deeplearning repositories with 439.5K stars combined. The fastest-growing on October 18 was VoxCPM, with +54 stars in a day.

22Projects
439.5KStars in total
+111Stars in a day

Hot right now

Most stars gained in a day · Oct 18

The all-time top

22 projects · by stars

  1. #1 · deepfakes/faceswap

    faceswap

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

    57.6K
  2. #2 · 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
  3. #3 · OpenBMB/VoxCPM

    VoxCPM

    VoxCPM is a tokenizer-free Text-to-Speech system that directly generates continuous speech representations through an end-to-end diffusion autoregressive architecture, skipping discrete tokenization for more natural, expressive speech. VoxCPM2 is the latest 2B-parameter release trained on 2M+ hours of multilingual audio.

    39.6K
  1. 4

    netron

    33.6Klutzroeder/netron · JavaScript

    Netron is a viewer for neural network, deep learning and machine learning models that lets you open a model file and visually inspect its graph, layers and weights.

  2. 5

    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.

  3. 6

    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.

  4. 7

    Speech

    18.6KNVIDIA-NeMo/Speech · Python

    An open-source NVIDIA framework for building speech AI models — automatic speech recognition (ASR), text-to-speech (TTS), and speech LLMs — with pre-trained checkpoints you can customize and deploy.

  5. 8

    AirSim

    18.6Kmicrosoft/AirSim · C++

    AirSim is an open-source simulator for drones, cars and more, built on Unreal Engine and created by Microsoft AI & Research. There is also an experimental Unity release.

  6. 9

    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.

  7. 10

    DeepLearning

    17.8KMikoto10032/DeepLearning · Jupyter Notebook

    A Chinese-language deep learning tutorial — a huge curated collection of links to courses, books, lecture notes, surveys and code, taking you from math basics through CNNs, GANs, RNNs and GNNs to Kaggle practice and interview prep.

  8. 11

    horovod

    14.7Khorovod/horovod · Python

    Horovod is a distributed deep learning training framework that adds distributed training support to TensorFlow, Keras, PyTorch, and Apache MXNet, aiming to make scaling training across many GPUs and machines fast and easy.

  9. 12

    deeplearning4j

    14.3Kdeeplearning4j/deeplearning4j · Java

    Eclipse Deeplearning4J is a suite of JVM libraries for building, training and deploying deep learning applications, usable from Java, Scala, Kotlin and Clojure.

  10. 13

    mit-deep-learning-book-pdf

    14.3Kjanishar/mit-deep-learning-book-pdf · Java

    This repo provides PDF versions (chapter-wise and complete) of the MIT Press book 'Deep Learning' by Ian Goodfellow, Yoshua Bengio and Aaron Courville, which is otherwise only available as an HTML book online.

  11. 14

    AI-Papers-of-the-Week

    13.3Kdair-ai/AI-Papers-of-the-Week

    This is a curated weekly archive listing the top AI/ML research papers, maintained by DAIR.AI since 2023, organized by week and year.

  12. 15

    Deep-Learning-with-TensorFlow-book

    13.2Kdragen1860/Deep-Learning-with-TensorFlow-book · Jupyter Notebook

    A free, open-source Chinese textbook on deep learning built on the official TensorFlow 2 release, pairing theory with hands-on case studies. This repo ships the PDF e-book, the accompanying source code, and the lecture slides.

  13. 16

    LangGPT

    12.6Klanggptai/LangGPT · Jupyter Notebook

    LangGPT is a structured, reusable prompt design framework that lets anyone create high-quality prompts for LLMs by filling in a template with sections like Role, Profile, Skills, Rules and Workflow, instead of relying on scattered trial-and-error tips.

  14. 17

    PythonPark

    11.9KJack-Cherish/PythonPark · Python

    A free, Chinese-language self-study guide to programming built around Python and AI: curated tutorials and videos on data structures, machine learning, deep learning, web scraping, interviews, and programmer life.

  15. 18

    ludwig

    11.8Kludwig-ai/ludwig · Python

    Ludwig is a declarative deep learning framework that lets you train, fine-tune, and deploy AI models — from LLM fine-tuning to tabular classification — using a YAML config file and zero boilerplate Python.

  16. 19

    awesome-chatgpt-zh

    11.8KEmbraceAGI/awesome-chatgpt-zh · Python

    A Chinese-language guide to ChatGPT and frontier AI: a curated, continuously updated GitHub collection of free and paid ChatGPT resources, prompt-engineering advice, app-development guides and AI productivity tools (11.7k stars).

  17. 20

    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.

  18. 21

    awesome-semantic-segmentation

    10.8Kmrgloom/awesome-semantic-segmentation

    A curated list of resources for semantic segmentation: network architectures, papers, code implementations, datasets, benchmarks, annotation tools, and losses used in the field.

  19. 22

    mit-deep-learning

    10.5Klexfridman/mit-deep-learning · Jupyter Notebook

    This repository collects tutorials, assignments, and competitions from MIT's Deep Learning related courses, covering semantic segmentation, generative adversarial networks, and reinforcement learning for self-driving cars.

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