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 50000 stars or more are excluded.
Top deep learning Github repositories can be found here.
Date: 04-02-2019 compared to 07-16-2018
Hint: This will be updated regularly.
Pos1 | Name | Description | Language | Stars Today | Total Stars | |
---|---|---|---|---|---|---|
🆕 | 1 | DeepLearning-500-questions | 深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,近30万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06 | None | 161 | 22409 |
🆕 | 2 | Virgilio | Your new Mentor for Data Science E-Learning. | Jupyter Notebook | 103 | 7017 |
🆕 | 3 | Algorithm_Interview_Notes-Chinese | 2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记 | Python | 56 | 20767 |
⬆️1 | 4 | pytorch | Tensors and Dynamic neural networks in Python with strong GPU acceleration | C++ | 45 | 26443 |
⬆️1 | 5 | opencv | Open Source Computer Vision Library | C++ | 44 | 33226 |
🆕 | 6 | 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 | 38 | 3404 |
🆕 | 7 | stanford-cs-229-machine-learning | VIP cheatsheets for Stanford's CS 229 Machine Learning | None | 38 | 7432 |
🆕 | 8 | machine_learning_examples | A collection of machine learning examples and tutorials. | Python | 37 | 2723 |
🆕 | 9 | practicalAI | 📚 A practical approach to learning and using machine learning. | Jupyter Notebook | 36 | 16909 |
⬇️6 | 10 | keras | Deep Learning for humans | Python | 36 | 39683 |
⬆️24 | 11 | 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 | 36 | 13620 |
⬆️34 | 12 | awesome-object-detection | Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html | None | 34 | 2705 |
⬇️10 | 13 | TensorFlow-Examples | TensorFlow Tutorial and Examples for Beginners with Latest APIs | Jupyter Notebook | 32 | 30459 |
⬇️5 | 14 | darknet | Convolutional Neural Networks | C | 28 | 12393 |
⬇️5 | 15 | deeplearningbook-chinese | Deep Learning Book Chinese Translation | TeX | 27 | 23647 |
🆕 | 16 | AiLearning | AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP | Python | 26 | 9346 |
🆕 | 17 | netron | Visualizer for deep learning and machine learning models | JavaScript | 26 | 3604 |
🆕 | 18 | DeepLearningPython35 | neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support | Python | 26 | 987 |
⬇️8 | 19 | Mask_RCNN | Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow | Python | 26 | 11166 |
🆕 | 20 | bert-as-service | Mapping a variable-length sentence to a fixed-length vector using BERT model | Python | 25 | 3144 |
➖ | 21 | caffe | Caffe: a fast open framework for deep learning. | C++ | 25 | 27693 |
🆕 | 22 | ray | A system for parallel and distributed Python that unifies the ML ecosystem. | Python | 24 | 6441 |
🆕 | 23 | DeepFaceLab | DeepFaceLab is a tool that utilizes deep learning to recognize and swap faces in pictures and videos. Includes prebuilt ready to work standalone Windows 7,8,10 binary (look readme.md). | Python | 24 | 2169 |
🆕 | 24 | BossSensor | Hide screen when boss is approaching. | Python | 22 | 5391 |
🆕 | 25 | neural-networks-and-deep-learning | Code samples for my book "Neural Networks and Deep Learning" | Python | 22 | 8858 |
🆕 | 26 | 100-Days-Of-ML-Code | 100-Days-Of-ML-Code中文版 | Jupyter Notebook | 22 | 9265 |
🆕 | 27 | libfacedetection | An open source library for face detection in images. The face detection speed can reach 1500FPS. | C++ | 21 | 6378 |
🆕 | 28 | horovod | Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. | C++ | 21 | 5839 |
🆕 | 29 | learnopencv | Learn OpenCV : C++ and Python Examples | Jupyter Notebook | 21 | 5442 |
⬇️23 | 30 | openpose | OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation | C++ | 20 | 11963 |
🆕 | 31 | DeepCreamPy | Decensoring Hentai with Deep Neural Networks | Python | 20 | 7551 |
⬇️9 | 32 | spaCy | 💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython | Python | 20 | 12760 |
⬇️7 | 33 | labelImg | 🤘 LabelImg is a graphical image annotation tool and label object bounding boxes in images | Python | 20 | 6431 |
⬇️15 | 34 | pytorch-CycleGAN-and-pix2pix | Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more) | Python | 19 | 7540 |
⬇️20 | 35 | pytorch-tutorial | PyTorch Tutorial for Deep Learning Researchers | Python | 19 | 10631 |
🆕 | 36 | pytorch_geometric | Geometric Deep Learning Extension Library for PyTorch | Python | 19 | 3050 |
🆕 | 37 | TensorFlow-Course | Simple and ready-to-use tutorials for TensorFlow | Python | 18 | 10925 |
⬇️26 | 38 | facenet | Face recognition using Tensorflow | Python | 18 | 7618 |
🆕 | 39 | maskscoring_rcnn | Codes for paper "Mask Scoring R-CNN". | Python | 18 | 945 |
🆕 | 40 | Awesome-pytorch-list | A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc. | None | 18 | 5938 |
⬆️41 | 41 | pytorch-cnn-visualizations | Pytorch implementation of convolutional neural network visualization techniques | Python | 16 | 1864 |
⬇️25 | 42 | Deep-Learning-Papers-Reading-Roadmap | Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech! | Python | 16 | 22280 |
⬆️44 | 43 | awesome-deep-learning-papers | The most cited deep learning papers | TeX | 16 | 18324 |
🆕 | 44 | hands-on-ml-zh | 📖 [译] Sklearn 与 TensorFlow 机器学习实用指南 | CSS | 16 | 2716 |
🆕 | 45 | gluon-cv | Gluon CV Toolkit | Python | 15 | 2145 |
⬇️38 | 46 | Detectron | FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet. | Python | 15 | 19765 |
⬇️31 | 47 | fastai | The fastai deep learning library, plus lessons and tutorials | Jupyter Notebook | 15 | 12832 |
⬇️4 | 48 | deep-learning-with-python-notebooks | Jupyter notebooks for the code samples of the book "Deep Learning with Python" | Jupyter Notebook | 15 | 6370 |
🆕 | 49 | deep-high-resolution-net.pytorch | The project is an official implement of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation" | Cuda | 14 | 901 |
⬇️21 | 50 | tensor2tensor | Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research. | Python | 14 | 7344 |
🆕 | 51 | nlp-tutorial | Natural Language Processing Tutorial for Deep Learning Researchers | Jupyter Notebook | 13 | 2106 |
⬇️27 | 52 | albumentations | fast image augmentation library and easy to use wrapper around other libraries | Python | 13 | 2137 |
🆕 | 53 | d2l-zh | 《动手学深度学习》,英文版即伯克利深度学习(STAT 157,2019春)教材。面向中文读者、能运行、可讨论。 | Python | 13 | 7339 |
⬆️14 | 54 | awesome-deep-learning | A curated list of awesome Deep Learning tutorials, projects and communities. | None | 12 | 11683 |
⬇️3 | 55 | pytorch-book | PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation | Jupyter Notebook | 12 | 4096 |
🆕 | 56 | imgaug | Image augmentation for machine learning experiments. | Python | 11 | 5428 |
🆕 | 57 | Keras-GAN | Keras implementations of Generative Adversarial Networks. | Python | 11 | 4235 |
🆕 | 58 | dlib | A toolkit for making real world machine learning and data analysis applications in C++ | C++ | 11 | 6911 |
⬆️2 | 59 | text_classification | all kinds of text classification models and more with deep learning | Python | 11 | 4232 |
🆕 | 60 | Reco-papers | Classic papers and resources on recommendation | Python | 11 | 582 |
🆕 | 61 | yolov3 | YOLOv3 in PyTorch > ONNX > CoreML > iOS | Python | 11 | 1077 |
➖ | 62 | allennlp | An open-source NLP research library, built on PyTorch. | Python | 11 | 5801 |
🆕 | 63 | TensorFlow2.0Tutorials | TensorFlow 2.0 version's Tutorials and Examples, CNN, RNN, GAN tutorials, etc. TF 2.0版入门实例代码,实战教程。 | Jupyter Notebook | 11 | 470 |
⬇️33 | 64 | machine-learning-for-software-engineers | A complete daily plan for studying to become a machine learning engineer. | None | 11 | 21454 |
⬇️51 | 65 | 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 | 11 | 15256 |
⬆️20 | 66 | carla | Open-source simulator for autonomous driving research. | C++ | 10 | 2385 |
⬇️54 | 67 | 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 | C++ | 10 | 16622 |
🆕 | 68 | awesome-nlp | 📖 A curated list of resources dedicated to Natural Language Processing (NLP) | None | 10 | 7898 |
🆕 | 69 | image-super-resolution | Super-scale your images and run experiments with Residual Dense and Adversarial Networks. | Jupyter Notebook | 10 | 588 |
🆕 | 70 | faster-rcnn.pytorch | A faster pytorch implementation of faster r-cnn | Python | 10 | 3016 |
🆕 | 71 | pyod | A Python Toolbox for Scalable Outlier Detection (Anomaly Detection) | Python | 10 | 1677 |
🆕 | 72 | 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 | 10 | 583 |
🆕 | 73 | autokeras | Accessible AutoML for deep learning. | Python | 10 | 4945 |
🆕 | 74 | deep-learning-notes | Experiments with Deep Learning | Jupyter Notebook | 9 | 932 |
🆕 | 75 | deep_learning_object_detection | A paper list of object detection using deep learning. | None | 9 | 4137 |
🆕 | 76 | 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 | 9 | 4208 |
🆕 | 77 | deep-residual-networks | Deep Residual Learning for Image Recognition | None | 9 | 4668 |
🆕 | 78 | BigGAN-PyTorch | The author's officially unofficial PyTorch BigGAN implementation. | Python | 9 | 998 |
⬇️15 | 79 | openface | Face recognition with deep neural networks. | Lua | 9 | 11846 |
🆕 | 80 | Paddle | PArallel Distributed Deep LEarning (PaddlePaddle核心框架,高性能单机、分布式训练和跨平台部署) | C++ | 9 | 8386 |
🆕 | 81 | LARK | LAnguage Representations Kit | Python | 9 | 804 |
⬆️16 | 82 | ssd.pytorch | A PyTorch Implementation of Single Shot MultiBox Detector | Python | 8 | 2027 |
🆕 | 83 | onnx | Open Neural Network Exchange | PureBasic | 8 | 5769 |
⬆️6 | 84 | book | 📚 All programming languages books | None | 8 | 2134 |
⬇️35 | 85 | DeepSpeech | A TensorFlow implementation of Baidu's DeepSpeech architecture | C++ | 8 | 9794 |
⬇️23 | 86 | ncnn | ncnn is a high-performance neural network inference framework optimized for the mobile platform | C++ | 8 | 5923 |
⬇️51 | 87 | tvm | Open deep learning compiler stack for cpu, gpu and specialized accelerators | Python | 8 | 3139 |
🆕 | 88 | pytorch-semseg | Semantic Segmentation Architectures Implemented in PyTorch | Python | 8 | 1738 |
⬇️24 | 89 | awesome-datascience | 📝 An awesome Data Science repository to learn and apply for real world problems. | None | 8 | 9625 |
⬇️16 | 90 | SSD-Tensorflow | Single Shot MultiBox Detector in TensorFlow | Jupyter Notebook | 8 | 2938 |
⬆️6 | 91 | Deep-Learning-21-Examples | 《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码 | Python | 8 | 2981 |
🆕 | 92 | SiamMask | [CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach | Python | 8 | 950 |
🆕 | 93 | DeepCTR | Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepInterestEvolutionNetwork(DIEN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM),AutoInt,NFFM | Python | 8 | 889 |
⬇️52 | 94 | text-classification-cnn-rnn | CNN-RNN中文文本分类,基于TensorFlow | Python | 8 | 1829 |
⬇️50 | 95 | MMdnn | MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML. | Python | 8 | 3327 |
🆕 | 96 | labelme | Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation). | Python | 8 | 2232 |
⬇️50 | 97 | awesome-deep-vision | A curated list of deep learning resources for computer vision | None | 8 | 8015 |
🆕 | 98 | serving | A flexible, high-performance serving system for machine learning models | C++ | 7 | 3264 |
🆕 | 99 | MachineLearningNotebooks | Use the example notebooks in this repo to explore the Azure Machine Learning service. | Jupyter Notebook | 7 | 419 |
🆕 | 100 | graph_nets | Build Graph Nets in Tensorflow | Python | 7 | 3102 |