Top 6721 deep-learning open source projects

An Open Source Machine Learning Framework for Everyone

Open Source Computer Vision Library

Deep Learning for humans

📝 An awesome Data Science repository to learn and apply for real world problems.

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

Oxford Deep NLP 2017 course

A WebGL accelerated JavaScript library for training and deploying ML models.

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

Implementation of algorithms for continuous control (DDPG and NAF).

An intelligent block matrix library for numpy, PyTorch, and beyond.

Code for "One-Shot Visual Imitation Learning via Meta-Learning"

Source code of the ACL2019 paper "Simple and Effective Text Matching with Richer Alignment Features".

A practical movie recommend project based on Item2vec.

基于深度学习的12306验证码识别

Implementation of a seq2seq model for Speech Recognition using the latest version of TensorFlow. Architecture similar to Listen, Attend and Spell.

ModaNet: A large-scale street fashion dataset with polygon annotations

(ICCV 2019) Uncertainty-aware Face Representation and Recognition

a framework for training sequence-level deep learning networks

Complementary code for the Targeted Dropout paper

Reference ImageNet implementation of SelecSLS CNN architecture proposed in the SIGGRAPH 2020 paper "XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera". The repository also includes code for pruning the model based on implicit sparsity emerging from adaptive gradient descent methods, as detailed in the CVPR 2019 paper "On implicit filter level sparsity in Convolutional Neural Networks".

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM)

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

Deep learning driven jazz generation using Keras & Theano!

A tensorflow implementation of EAST text detector

Data loaders and abstractions for text and NLP

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

TensorFlow implementation of ENet

Practical Exercise Codes for PyTorch

Deep learning with text doesn't have to be scary.

Implementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR

Stock for Deep Learning and Machine Learning

Medical Imaging Deep Learning library to train and deploy models on Azure Machine Learning and Azure Stack

Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).

A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)

Wide Residual Networks (WideResNets) in PyTorch

Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex

Streaming over lightweight data transformations

Model Zoo for Intel® Architecture: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors

Medical image registration using deep learning

A PyTorch library and evaluation platform for end-to-end compression research

ResNeSt: Split-Attention Networks

Minimal and Clean Reinforcement Learning Examples

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

📖 This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.

List of projects for 3d reconstruction

Keras# initiated as an effort to port the Keras deep learning library to C#, supporting both TensorFlow and CNTK

Single Image Reflection Separation with Perceptual Losses

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

Code for MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks

模仿莎士比亚创作戏剧！屌炸天的是还能创作金庸武侠小说！快star，保持更新！！

Experimental tensor-typed deep learning

Tensorflow Implementation of the paper "Spectral Normalization for Generative Adversarial Networks" (ICML 2017 workshop)

Evaluate three types of task shifting with popular continual learning algorithms.

[ICCV 2019] Official implementation of "MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation" in PyTorch + Social Distancing

The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.

a list of pappers in deep learning for new-comes.

A Keras CTC implementation of Baidu's DeepSpeech for model experimentation

A modern deep learning framework built to accelerate research and development of AI systems