CaptainE/Non-negative-latent-space-models

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MIT License
Created over 5 years ago
Updated over 5 years ago

CaptainE/Non-negative-latent-space-models

CaptainE

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Implementation of Bayesian Inference for Nonnegative Matrix Factorisation Models.Computational Intelligence and Neuroscience, 2009

RNN-LSTM-in-numpy

Building a RNN and LSTM from scratch with NumPy.

Jupyter Notebook

PPO-RND-Pommerman

Using Proximal Policy Optimization and Random Network Distillation on Pommerman

Jupyter Notebook

Deep-Unsupervised-Learning

Pytorch implementatiions of the Homeworks in course CS294-158

Jupyter Notebook

Deep-reinforcement-learning-A3C

Repository containing material regarding a modified version of the Berkeley Deep reinforcement learning course and an implementation of A3C as a project

Searching-for-Structure-in-Unfalsifiable-Claims

Evaluation code for the "Searching for Structure in Unfalsifiable Claims" paper.

syntaxsqlnet

Pytorch implementation of SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-DomainText-to-SQL Task .

RLSolutionsSutton

attempted solutions for Sutton-barto version 2.0

Jupyter Notebook