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AI_Learning_Hub

AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics

Awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

garage

A toolkit for reproducible reinforcement learning research.

Rep-Res-Book

Source code files for the book Reproducible Research with R/RStudio

reproducibility-guide

:no_entry: ARCHIVED :no_entry:

RREEBES

Reproducible Research in Ecology, Evolution, Behaviour, and Environmental Studies

pyembedding

Python implementation of nonlinear embedding methods

Kuramoto_Sivashinsky

Codes for Kuramoto Sivashinsky equation

nSTAT

Neural Spike Train Analysis Toolbox for Matlab

kaggle-seizure-prediction

Kaggle-EEG

Seizure prediction from EEG data using machine learning. 3rd place solution for Kaggle/Uni Melbourne seizure prediction competition.

fieldtrip

The MATLAB toolbox for MEG, EEG and iEEG analysis

xmap

Convergent Cross-Mapping

skccm

Convergent Cross Mapping in Scikit Learn's style

pytorch-esn

An Echo State Network module for PyTorch.

Professor_Forcing_Pytorch

A custom modification of Professor Forcing algorithm using Pytorch. A few personal tweak (not tested yet), use at your own risk!

GAN-Base-on-Matlab

A implementation of GAN in matlab

matlab

deeplearning-papernotes

Summaries and notes on Deep Learning research papers

Stock

Stock Market Prediction Using Unsupervised Features

leetcode-python

LeetCode problems in Python

dcgan-matconvnet

Deep Convolutional Generative Adversarial Network (DCGAN) implementation on MatConvNet (compliant to any MCN version)

2016_GAN_Matlab

Generative Adversarial Nets for Matlab

matlab-esn

A flexible and extensible echo state network framework for Matlab

simple_echo_state_network

Echo state network framework, NARMA10 dataset generator as an demonstration supplied.

Reservoir

Code for Reservoir computing (Echo state network)

Dagger

Dagger - An implementation of Dataset Aggregation

DaD

Data as Demonstrator (DaD) is a meta learning algorithm to improve the multi-step predictive capabilities of a learned time series (e.g. dynamical system) model.

DeepLearningTutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

timeseries_gan

A tensorflow implementation of GAN ( exactly InfoGAN or Info GAN ) to one dimensional ( 1D ) time series data.