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100-days-of-ml-code

100 Days of ML Coding

abcpmc

Approximate Bayesian Computation Population Monte Carlo

cond_rnn

Conditional RNNs made easy with Tensorflow.

dcrnn

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

deeplearning

firets

A python multi-variate time series prediction library working with sklearn

lssvm

Python implementation of Least Squares Support Vector Machine for classification on CPU (NumPy) and GPU (PyTorch).

notebooks

Code examples for pyFTS

pyabc

distributed, likelihood-free inference

pyfts

A open source library for Fuzzy Time Series in Python

python-100-days

Python - 100天从新手到大师

time-series-forecasting-keras

time series forecasting using keras, inlcuding LSTM,RNN,MLP,GRU,SVR and multi-lag training and forecasting method, ICONIP2017 paper.