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adversarialnetspapers

The classical paper list with code about generative adversarial nets

algorithmsbypython

算法/数据结构/Python/剑指offer/机器学习/leetcode

cs231n-2017-summary

After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.

cs231n_spring_2017_assignment

My implementations of cs231n 2017

deep-time-series-prediction

DeepLearning for Time Series Prediction.

doppelganger

Generating High-fidelity, Synthetic Time Series Datasets with DoppelGANger

gan_time_series

A model to generate time series data with the purpose of augmenting a dataset of various time series.

hed

code for Holistically-Nested Edge Detection

keras_lstm_understand

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！

machine-learning-session

machine-learning_zhouzhihua

Exercises answers to the book "machine-learning" written by Prof. Zhou Zhihua of Nanjing University

melon_concepts

西瓜书概念整理

python-100-days

Python - 100天从新手到大师

python-data-structure-cn

problem-solving-with-algorithms-and-data-structure-using-python 中文版

pytorch-gan-timeseries

GANs for time series generation in pytorch

pytorch_tutorial

《Pytorch模型训练实用教程》中配套代码

rgan

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

seq2seq-for-times-series-prediction

Implementation of Seq2Seq model on time series prediction of restaurant visitor traffic

time-series-prediction

A collection of time series prediction methods: arima, xgb, rnn, seq2seq, cnn, wavenet, transformer, gan, kalman-filter