Top 6721 deep-learning open source projects

Deep learning software for colorizing black and white images with a few clicks.

Open Source Neural Machine Translation in Torch (deprecated)

从零基础开始机器学习之旅

Arm Machine Learning tutorials and examples

Grayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400

Tensor Shape Annotation Library (numpy, tensorflow, pytorch, ...)

Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

A simple pytorch implementation of CenterNet (Objects as Points)

A detailed guide to deep learning: http://yerevann.com/a-guide-to-deep-learning/

Deep learning system course

PyTorch based Deep Learning Toolbox

Opensource Korean chatbot framework

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

A TensorFlow & Deep Learning online course I taught in 2016

A clear, concise, simple yet powerful and efficient API for deep learning.

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

Tiny-DSOD: Lightweight Object Detection for Resource-Restricted Usage

This repository contains the source code used to produce the results presented in the paper "Continuous-variable quantum neural networks". Due to subsequent interface upgrades, these scripts will work only with Strawberry Fields version <= 0.10.0.

Pytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition.

Supervised Semantics-preserving Deep Hashing (TPAMI18)

🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis

Hierarchical Attention Networks for Chinese Sentiment Classification

Facelet-Bank for Fast Portrait Manipulation (pytorch)

Code for my medium article

文件 笔和线段的一种划分.py,只需要把k线high，low数据输入，就能自动实现笔，线段，中枢，买卖点，走势类型的划分了。可以把sh.csv 作为输入文件。个人简历见.pdf。时间的力量。有人说择时很困难，有人说选股很容易，有人说统计套利需要的IT配套设施很重要。还有人说系统有不可测原理。众说纷纭。分布式的系统，当你的影响可以被忽略，你才能实现，Jiang主席所谓之，闷声发大财。

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

Visualizer for neural network, deep learning, and machine learning models

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

Learn OpenCV : C++ and Python Examples

A neural network that transforms a design mock-up into a static website.

Attention mechanism Implementation for Keras.

oneAPI Deep Neural Network Library (oneDNN)

OneFlow is a performance-centered and open-source deep learning framework.

Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo

Convert trained PyTorch models to Keras, and the other way around

Pytorch version of Realtime Multi-Person Pose Estimation project

A TensorFlow implementation of Group Normalization on the task of image classification

PyTorch implementation of VQ-VAE by Aäron van den Oord et al.

A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

Pytorch implementation of Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation (CVPR 2020)

Transformer based on a variant of attention that is linear complexity in respect to sequence length

A curated list of awesome resources for adversarial examples in deep learning

A Simple and easy to use way to Visualise Embeddings!

Face related datasets

Contains implementation of Guided Attention Inference Network (GAIN) presented in Tell Me Where to Look(CVPR 2018). This repository aims to apply GAIN on fcn8 architecture used for segmentation.

🗂 Split folders with files (i.e. images) into training, validation and test (dataset) folders

MeshNet: Mesh Neural Network for 3D Shape Representation (AAAI 2019)

Summaries of the papers that are discussed by VLG.

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

Summaries of machine learning papers

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

Simple and Distributed Machine Learning

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

【不定期更新】收集整理的一些网站中（如知乎、Quora、Reddit、Stack Exchange等）与深度学习、机器学习、强化学习、数据科学相关的有价值的问题

The PyTorch Implementation of F-ConvNet for 3D Object Detection

Virtual Clothing Try-on with Deep Learning. PyTorch reproduction of SwapNet by Raj et al. 2018. Now with Docker support!