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Kyle Kastner's Projects

pybo icon pybo

Python package for modular Bayesian optimization

pycadl icon pycadl

Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"

pycca icon pycca

Pure-python C compiler and assembler

pycfr icon pycfr

A python implementation of Counterfactual Regret Minimization for poker

pycon2015 icon pycon2015

Material for talk "Machine Learning 101" https://speakerdeck.com/kastnerkyle/pycon2015 https://us.pycon.org/2015/schedule/presentation/367/

pyensemble icon pyensemble

An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn

pygameplayer icon pygameplayer

Module to help with running learning agents against PyGame games

pygcn icon pygcn

Graph Convolutional Networks in PyTorch

pygpml icon pygpml

Python version of GPML code from Carl Rasmussen and Hannes Nickisch for Gaussian Processes

pyklatt icon pyklatt

Automatically exported from code.google.com/p/pyklatt

pyksp icon pyksp

This is a Python wrapper for the K-Shortest Path tracking algorithm.

pylds icon pylds

some tools for gaussian linear dynamical systems

pylds-1 icon pylds-1

A Python module for performing learning and inference in Linear Dynamic Systems

pylearn2 icon pylearn2

A Machine Learning library based on Theano

pytexas2013 icon pytexas2013

Code and slides for PyTexas 2013 talk, "Trends in Deep Learning"

pytorch-a2c-ppo-acktr icon pytorch-a2c-ppo-acktr

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).

pytorch-a3c icon pytorch-a3c

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

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