gaoyuankidult/pyIPCA
python package for Incremental Prinicpal Component Analysis
Discovered public repositories for gaoyuankidult in the GitHub catalog.
python package for Incremental Prinicpal Component Analysis
Implementation of an Echo State Network.
Conceptor Networks
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A responsive Jekyll theme with clean typography and support for large full page images.
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Theano-based implementation of Deep Q-learning
Theano-based Deep Learning library (convnets, recurrent neural networks, and more).
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C++ Template Library to Predict, Control, Learn Behaviors, and Represent Learnable Knowledge using On/Off Policy Reinforcement Learning
It is my master thesis regarding recurrent neural network for reinforcement learning.
An implementation of a generalized version of the Long Short-Term Memory neural network architecture and algorithm, one of the most powerful supervised machine learning methodologies.
Deep Learning (Python, C/C++, Java, Scala)
Library for implementing RNNs with Theano
Example robots and code for interfacing Gazebo with ROS
This repo tries to implement all gradient methods in Python as examples
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This is a personal repo for own reinforcement learning seminar
This project aims to compare different algorithms for structure learning problem.
This file contains dimention reduction methods with examples
本项目是July和他伙伴们的《程序员编程艺术》的电子书版本
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TSP-GA
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scikit-learn: machine learning in Python
Unofficial Python SVN auto-updating mirror
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This project is meant to detect and generate a genetic relatedness matrix between individuals from a genome-wide panel of SNPs stored in a GEN file using parallel programming.
R language practice
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the python version of random_walk_simulator
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