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Trending deep learning Github repositories
Here's a list of top 100 deep learning Github trending repositories sorted by the number of stars gained on a specific day. The query that has been used with Github search API is:
deep-learning OR CNN OR RNN OR "convolutional neural network" OR "recurrent neural network"
Repositories with 40000 stars or more are excluded.
Top deep learning Github repositories can be found here.
Date: 02-02-2020 compared to 09-01-2019
Note: This will be updated regularly.
Pos1 | Name | Description | Language | Stars Today | Total Stars | |
---|---|---|---|---|---|---|
:new: | 1 | spinningup | An educational resource to help anyone learn deep reinforcement learning. | Python | 53 | 4030 |
:arrow_up:2 | 2 | Real-Time-Voice-Cloning | Clone a voice in 5 seconds to generate arbitrary speech in real-time | Python | 18 | 15014 |
:new: | 3 | Deep-Learning-with-TensorFlow-book | 深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework. | Python | 17 | 6771 |
:arrow_up:15 | 4 | ray | A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library. | Python | 16 | 10248 |
:arrow_up:1 | 5 | DeepFaceLab | DeepFaceLab is the leading software for creating deep fakes. | Python | 15 | 12237 |
:new: | 6 | pytorch3d | PyTorch3d is FAIR's library of reusable components for deep learning with 3D data. | Python | 15 | 544 |
:new: | 7 | Dive-into-DL-PyTorch | 本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。 | Jupyter Notebook | 15 | 7092 |
:new: | 8 | thinc | 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries | Python | 15 | 1683 |
:arrow_up:15 | 9 | pytorch-tutorial | PyTorch Tutorial for Deep Learning Researchers | Python | 14 | 15314 |
:arrow_up:39 | 10 | handson-ml2 | A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2. | Jupyter Notebook | 14 | 5921 |
:arrow_up:3 | 11 | pytorch | Tensors and Dynamic neural networks in Python with strong GPU acceleration | C++ | 14 | 35719 |
:arrow_up:35 | 12 | pytorch_geometric | Geometric Deep Learning Extension Library for PyTorch | Python | 11 | 6473 |
:arrow_down:11 | 13 | faceswap | Deepfakes Software For All | Python | 11 | 28863 |
:new: | 14 | streamlit | Streamlit — The fastest way to build custom ML tools | Python | 11 | 6650 |
:new: | 15 | nni | An open source AutoML toolkit for neural architecture search, model compression and hyper-parameter tuning. | Python | 11 | 5281 |
:new: | 16 | yolov3 | YOLOv3 in PyTorch > ONNX > CoreML > iOS | Jupyter Notebook | 10 | 3400 |
:new: | 17 | book | :books: All programming languages books | None | 10 | 4071 |
:arrow_up:28 | 18 | pytorch-handbook | pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行 | Jupyter Notebook | 10 | 10163 |
:arrow_up:13 | 19 | TensorFlow-Examples | TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2) | Jupyter Notebook | 9 | 36173 |
:arrow_up:11 | 20 | tfjs | A WebGL accelerated JavaScript library for training and deploying ML models. | TypeScript | 9 | 12566 |
:new: | 21 | carla | Open-source simulator for autonomous driving research. | C++ | 9 | 3885 |
:arrow_down:2 | 22 | Mask_RCNN | Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow | Python | 9 | 15583 |
:new: | 23 | jetson-inference | Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson. | C++ | 9 | 2636 |
:arrow_up:35 | 24 | awesome-deep-learning | A curated list of awesome Deep Learning tutorials, projects and communities. | None | 8 | 14565 |
:new: | 25 | catalyst | Accelerated DL & RL | Python | 8 | 1544 |
:arrow_up:62 | 26 | awesome-project-ideas | Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas | None | 8 | 3381 |
:arrow_down:2 | 27 | d2l-zh | 《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。 | Python | 8 | 15910 |
:arrow_down:12 | 28 | pandas-profiling | Create HTML profiling reports from pandas DataFrame objects | Python | 8 | 4290 |
:arrow_down:17 | 29 | AiLearning | AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP | Python | 8 | 22923 |
:new: | 30 | spleeter | Deezer source separation library including pretrained models. | Python | 7 | 9752 |
:new: | 31 | pytorch-lightning | The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate | Python | 7 | 3512 |
:new: | 32 | photoprism | Personal Photo Management powered by Go and Google TensorFlow | Go | 7 | 4623 |
:arrow_down:22 | 33 | handson-ml | A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow. | Jupyter Notebook | 7 | 18622 |
:new: | 34 | Deep-Learning-Papers-Reading-Roadmap | Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech! | Python | 7 | 25457 |
:heavy_minus_sign: | 35 | deeplearning-models | A collection of various deep learning architectures, models, and tips | Jupyter Notebook | 7 | 11482 |
:new: | 36 | trax | Trax — your path to advanced deep learning | Jupyter Notebook | 7 | 1649 |
:new: | 37 | practicalAI | 📚 A practical approach to machine learning. | Jupyter Notebook | 7 | 23437 |
:new: | 38 | fashion-mnist | A MNIST-like fashion product database. Benchmark :point_right: | Python | 6 | 7160 |
:arrow_up:61 | 39 | mit-deep-learning | Tutorials, assignments, and competitions for MIT Deep Learning related courses. | Jupyter Notebook | 6 | 6899 |
:new: | 40 | label-studio | Label Studio is a multi-type data labeling and annotation tool with standardized output format | JavaScript | 6 | 2379 |
:new: | 41 | ASRT_SpeechRecognition | A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统 | Python | 6 | 2437 |
:new: | 42 | nlp_overview | Overview of Modern Deep Learning Techniques Applied to Natural Language Processing | CSS | 6 | 844 |
:arrow_up:8 | 43 | machine-learning-for-software-engineers | A complete daily plan for studying to become a machine learning engineer. | None | 6 | 23326 |
:new: | 44 | spaCy | 💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython | Python | 6 | 15643 |
:arrow_up:42 | 45 | facenet | Face recognition using Tensorflow | Python | 6 | 9965 |
:arrow_up:33 | 46 | stanford-cs-229-machine-learning | VIP cheatsheets for Stanford's CS 229 Machine Learning | None | 6 | 9888 |
:arrow_up:7 | 47 | dlaicourse | Notebooks for learning deep learning | Jupyter Notebook | 5 | 2184 |
:arrow_up:16 | 48 | ludwig | Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code. | Python | 5 | 6350 |
:arrow_up:9 | 49 | autokeras | An AutoML system based on Keras | Python | 5 | 6561 |
:new: | 50 | models | Pre-trained and Reproduced Deep Learning Models (『飞桨』官方模型库,包含多种学术前沿和工业场景验证的深度学习模型) | Python | 5 | 3910 |
:new: | 51 | Keras-GAN | Keras implementations of Generative Adversarial Networks. | Python | 5 | 6450 |
:arrow_up:19 | 52 | dgl | Python package built to ease deep learning on graph, on top of existing DL frameworks. | Python | 5 | 3944 |
:arrow_down:17 | 53 | TensorFlow-2.x-Tutorials | TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。 | Jupyter Notebook | 5 | 4348 |
:new: | 54 | awesome-artificial-intelligence | A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers | None | 5 | 5239 |
:arrow_up:38 | 55 | deep-learning-coursera | Deep Learning Specialization by Andrew Ng on Coursera. | Jupyter Notebook | 5 | 4773 |
:arrow_up:30 | 56 | nlp-tutorial | Natural Language Processing Tutorial for Deep Learning Researchers | Jupyter Notebook | 5 | 5176 |
:new: | 57 | deep-learning-with-python-notebooks | Jupyter notebooks for the code samples of the book "Deep Learning with Python" | Jupyter Notebook | 5 | 9350 |
:new: | 58 | PySyft | A library for encrypted, privacy preserving machine learning | Python | 5 | 4819 |
:new: | 59 | char-rnn | Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch | Lua | 5 | 9953 |
:arrow_up:21 | 60 | deeplearningbook-chinese | Deep Learning Book Chinese Translation | TeX | 5 | 27753 |
:arrow_down:51 | 61 | fastai | The fastai deep learning library, plus lessons and tutorials | Jupyter Notebook | 5 | 17001 |
:new: | 62 | DeepSpeech | A TensorFlow implementation of Baidu's DeepSpeech architecture | C++ | 5 | 12951 |
:arrow_down:15 | 63 | darknet | Convolutional Neural Networks | C | 5 | 16203 |
:arrow_down:23 | 64 | openpose | OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation | C++ | 5 | 15825 |
:new: | 65 | MVision | 机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶 | C++ | 4 | 3914 |
:new: | 66 | Dive-into-DL-TensorFlow2.0 | 本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现,项目已得到李沐老师的同意 | Jupyter Notebook | 4 | 1773 |
:new: | 67 | Practical_RL | A course in reinforcement learning in the wild | Jupyter Notebook | 4 | 3716 |
:arrow_up:30 | 68 | Awesome-PyTorch-Chinese | 【干货】史上最全的PyTorch学习资源汇总 | Python | 4 | 1932 |
:new: | 69 | ICCV2019-LearningToPaint | ICCV2019 - A painting AI that can reproduce paintings stroke by stroke using deep reinforcement learning. | Python | 4 | 1583 |
:arrow_down:5 | 70 | d2l-en | Dive into Deep Learning: an interactive deep learning book with code, math, and discussions, based on the NumPy interface. | Python | 4 | 3790 |
:arrow_down:4 | 71 | Stock-Prediction-Models | Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations | Jupyter Notebook | 4 | 1408 |
:new: | 72 | deeplearning4j | Eclipse Deeplearning4j, ND4J, DataVec and more - deep learning & linear algebra for Java/Scala with GPUs + Spark | Java | 4 | 11454 |
:arrow_down:16 | 73 | bert-as-service | Mapping a variable-length sentence to a fixed-length vector using BERT model | Python | 4 | 6681 |
:new: | 74 | Deep-learning-books | Books for machine learning, deep learning, math, NLP, CV, RL, etc. 一些机器学习、深度学习等相关话题的书籍。 | None | 4 | 730 |
:arrow_down:1 | 75 | labelImg | 🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images | Python | 4 | 9635 |
:new: | 76 | stanford-cs-230-deep-learning | VIP cheatsheets for Stanford's CS 230 Deep Learning | None | 4 | 4017 |
:arrow_up:8 | 77 | mit-deep-learning-book-pdf | MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville | Java | 4 | 7534 |
:arrow_up:16 | 78 | machine_learning_examples | A collection of machine learning examples and tutorials. | Python | 4 | 4232 |
:new: | 79 | albumentations | fast image augmentation library and easy to use wrapper around other libraries | Python | 4 | 4336 |
:arrow_down:73 | 80 | mediapipe | MediaPipe is a cross-platform framework for building multimodal applied machine learning pipelines | C++ | 4 | 4458 |
:new: | 81 | the-incredible-pytorch | The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch. | None | 4 | 4463 |
:new: | 82 | data-science-ipython-notebooks | Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. | Python | 4 | 17947 |
:arrow_down:5 | 83 | incubator-mxnet | Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more | Python | 4 | 18344 |
:new: | 84 | face_classification | Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV. | Python | 4 | 4703 |
:arrow_down:32 | 85 | caffe | Caffe: a fast open framework for deep learning. | C++ | 4 | 29775 |
:new: | 86 | wav2letter | Facebook AI Research's Automatic Speech Recognition Toolkit | C++ | 4 | 4806 |
:new: | 87 | seq2seq-couplet | Play couplet with seq2seq model. 用深度学习对对联。 | Python | 4 | 4060 |
:new: | 88 | open_model_zoo | Pre-trained Deep Learning models and samples (high quality and extremely fast) | Python | 4 | 1709 |
:new: | 89 | ml-agents | Unity Machine Learning Agents Toolkit | Python | 4 | 7685 |
:arrow_down:10 | 90 | DeepLearningExamples | Deep Learning Examples | Jupyter Notebook | 4 | 3060 |
:new: | 91 | deep-high-resolution-net.pytorch | The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation" | Cuda | 4 | 2177 |
:new: | 92 | awesome-mlss | List of summer schools in machine learning + related fields across the globe | None | 4 | 621 |
:arrow_down:23 | 93 | DeepLearning | 深度学习入门教程&&优秀文章&&Deep Learning Tutorial | Jupyter Notebook | 4 | 2308 |
:arrow_up:1 | 94 | horovod | Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. | Python | 4 | 8517 |
:new: | 95 | deep-learning-v2-pytorch | Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101 | Jupyter Notebook | 4 | 2733 |
:new: | 96 | cortex | Deploy machine learning models in production | Go | 4 | 2848 |
:new: | 97 | pytorch-summary | Model summary in PyTorch similar to model.summary() in Keras | Python | 4 | 1952 |
:new: | 98 | pwnagotchi | (⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning. | JavaScript | 4 | 3162 |
:new: | 99 | cvat | Powerful and efficient Computer Vision Annotation Tool (CVAT) | Python | 3 | 3074 |
:arrow_down:56 | 100 | AI-Job-Notes | AI算法岗求职攻略(涵盖准备攻略、刷题指南、内推和AI公司清单等资料) | None | 3 | 1857 |