lemmon-tree's Stars
dragen1860/Deep-Learning-with-PyTorch-Tutorials
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
znxlwm/tensorflow-MNIST-GAN-DCGAN
Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.
wiseodd/generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
yfeng95/GAN
Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
zhoubolei/CAM
Class Activation Mapping
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
whyscience/CS231n-Note-Translation_CN
CS231课程笔记翻译 https://zhuanlan.zhihu.com/intelligentunit
cs231n/cs231n.github.io
Public facing notes page
fendouai/Awesome-TensorFlow-Chinese
Awesome-TensorFlow-Chinese,TensorFlow 中文资源精选,官方网站,安装教程,入门教程,视频教程,实战项目,学习路径。QQ群:167122861,公众号:磐创AI,微信群二维码:http://www.tensorflownews.com/
ageron/handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
hzy46/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
ChristosChristofidis/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
yunjey/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
tkipf/gcn
Implementation of Graph Convolutional Networks in TensorFlow
ljpzzz/machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
vahidk/EffectiveTensorflow
TensorFlow tutorials and best practices.
yselivonchyk/Tensorflow_WhatWhereAutoencoder
Stacked What-Where Auto-encoders implementation wiht Tensorflow
sudhirNallam/Unsupervised-training-using-SWWAE
pytorch implementation of SWWAE
xtudbxk/DSRG-tensorflow
a tensorflow version for DSRG (Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing)
xtudbxk/SEC-tensorflow
a tensorflow version for SEC approach in the paper "seed, expand and constrain: three principles for weakly-supervised image segmentation".
JackieZhangdx/WeakSupervisedSegmentationList
This repository contains lists of state-or-art weakly supervised semantic segmentation works