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2021-zju-machine-learning

浙江大学机器学习

3dxml-for-unity

将3DXML格式的三维模型文件运行时动态载入unity并直接将生成的对象与解析好的动画模板关联，以达到快速批量导入模型并保留模型之间层次结构关系的目的。

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

adversarialnetspapers

Awesome paper list with code about generative adversarial nets

ai_bird

强化学习-游戏AI Trainning

babi-tasks

Task generation for testing text understanding and reasoning

cgal

The public CGAL repository, see the README below

code-practice

My daily practice code---I am going to write code every day. :muscle:

data-science-notes

数据科学的笔记以及资料搜集

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

ganlab

GAN Lab: An Interactive, Visual Experimentation Tool for Generative Adversarial Networks

generative-adversarial-network-tutorial

Tutorial on creating your own GAN in Tensorflow

gnnpapers

Must-read papers on graph neural networks (GNN)

graph-pointer-network

import_stl

Import Stl into Unity.

introrl

Intro to Reinforcement Learning (强化学习纲要）

it_book

本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）

keras-dcgan

Keras implementation of Deep Convolutional Generative Adversarial Networks

memnn

Memory Networks implementations

navmesh

导航网格寻路C++实现版(入门版)

navmesh-advance

导航网格寻路C++实现版(进阶版)

navmeshopengl

nndl.github.io

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

pointer-network-tensorflow

TensorFlow implementation of "Pointer Networks"

pylearn2

Warning: This project does not have any current developer. See bellow.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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

pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.