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Top 6721 deep-learning open source projects

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.
Deep Learning Interview Book
Artificial Intelligence Deep Learning Machine Learning Tutorials
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.
Pytorch Ddpg Naf
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"
Simple Effective Text Matching
Source code of the ACL2019 paper "Simple and Effective Text Matching with Richer Alignment Features".
Movietaster Open
A practical movie recommend project based on Item2vec.
12306 Captcha
Speech recognition with tensorflow
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
Probabilistic Face Embeddings
(ICCV 2019) Uncertainty-aware Face Representation and Recognition
a framework for training sequence-level deep learning networks
Targeted Dropout
Complementary code for the Targeted Dropout paper
Selecsls Pytorch
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".
Torch Cam
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM)
Change Detection Review
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
Deep Learning Book
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Pytorch Exercise
Practical Exercise Codes for PyTorch
Deep learning with text doesn't have to be scary.
Cnn face detection
Implementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR
Innereye Deeplearning
Medical Imaging Deep Learning library to train and deploy models on Azure Machine Learning and Azure Stack
Stanford Cs231
Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).
Mixture Density Networks For Distribution And Uncertainty Estimation
A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)
Wideresnet Pytorch
Wide Residual Networks (WideResNets) in PyTorch
Model Zoo for Intel® Architecture: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors
A PyTorch library and evaluation platform for end-to-end compression research
Good Papers
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
Computer Vision Guide
📖 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.
Keras Sharp
Keras# initiated as an effort to port the Keras deep learning library to C#, supporting both TensorFlow and CNTK
Perceptual Reflection Removal
Single Image Reflection Separation with Perceptual Losses
From 0 To Research Scientist Resources Guide
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
Tensorflow novelist
Experimental tensor-typed deep learning
Tf Sndcgan
Tensorflow Implementation of the paper "Spectral Normalization for Generative Adversarial Networks" (ICML 2017 workshop)
Continual Learning Benchmark
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.
Deep Learning Papers For Fish
a list of pappers in deep learning for new-comes.
A modern deep learning framework built to accelerate research and development of AI systems
1-60 of 6721 deep-learning projects