bearing's repositories
imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
scikit-learn
scikit-learn: machine learning in Python
adversarial-autoencoders
Tensorflow implementation of Adversarial Autoencoders
AdversarialNetsPapers
The classical papers and codes about generative adversarial nets
Algorithm
:pencil2: Useful Algorithm Implementation
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
directed_research_CS_2018
This repository is for the subject "direct research in computer science B" from the university of Tsukuba
ganhacks
starter from "How to Train a GAN?" at NIPS2016
generative-adversarial-nets
A TensorFlow implementation of Generative Adversarial Networks and Conditional Generative Adversarial Networks
generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
irgan
IRGAN SIGIR paper experimental code
lantern
Lantern官方版本下载 蓝灯 翻墙 代理 科学上网 外网 加速器 梯子 路由 lantern proxy vpn censorship-circumvention censorship gfw accelerator
myStudyInMachineLearning
for deep learning ,particular for pythin
TensorFlow-VAE-GAN-DRAW
A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).