chenfei0328's Stars
keras-team/keras
Deep Learning for humans
eriklindernoren/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
bharathgs/Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
geeeeeeeeek/electronic-wechat
:speech_balloon: A better WeChat on macOS and Linux. Built with Electron by Zhongyi Tong.
soumith/ganhacks
starter from "How to Train a GAN?" at NIPS2016
eriklindernoren/Keras-GAN
Keras implementations of Generative Adversarial Networks.
Cadene/pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
yzhao062/pyod
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
blue-yonder/tsfresh
Automatic extraction of relevant features from time series:
yzhao062/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
Vay-keen/Machine-learning-learning-notes
周志华《机器学习》又称西瓜书是一本较为全面的书籍,书中详细介绍了机器学习领域不同类型的算法(例如:监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等),记录了本人在学习过程中的理解思路与扩展知识点,希望对新人阅读西瓜书有所帮助!
kenwoodjw/python_interview_question
关于python的面试题
INTERMT/Awesome-PyTorch-Chinese
【干货】史上最全的PyTorch学习资源汇总
fastnlp/fastNLP
fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.
Luolc/AdaBound
An optimizer that trains as fast as Adam and as good as SGD.
L1aoXingyu/code-of-learn-deep-learning-with-pytorch
This is code of book "Learn Deep Learning with PyTorch"
numenta/NAB
The Numenta Anomaly Benchmark
zslomo/2019-Autumn-recruitment-experience
2019届秋招面经集合
linjinjin123/awesome-AIOps
AIOps学习资料汇总,欢迎一起补全这个仓库,欢迎star
yahoo/egads
A Java package to automatically detect anomalies in large scale time-series data
target/matrixprofile-ts
A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile
mblondel/soft-dtw
Python implementation of soft-DTW.
bighuang624/Time-Series-Papers
List of awesome papers about time series, mainly including algorithms based on machine learning | 收录时间序列分析中各个研究领域的高水平文章,主要包含基于机器学习的算法
danielgy/Paper-list-on-Imbalanced-Time-series-Classification-with-Deep-Learning
hfawaz/aaltd18
Data augmentation using synthetic data for time series classification with deep residual networks
kvmanohar22/Generative-Models
Comparison of Generative Models in Tensorflow
yakouyang/Multilevel_Wavelet_Decomposition_Network_Pytorch
This project is the pytorch implementation version of Multilevel Wavelet Decomposition Network.
zhaohuicici/Time-Series-Model
时间序列理论和案例实践
JacobWang95/mWDN
linchuming/FudanWebTool
复旦大学有线校园网自动连接工具