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persistent-rnn

Fast Recurrent Networks Library

phd-thesis

Repository of my thesis "Understanding Random Forests"

pidoptimizer

Code for this CVPR 2018 paper: "A PID Controller Approach for Stochastic Optimization of Deep Networks", Wangpeng An, Haoqian Wang, Qingyun Sun, Jun Xu, Qionghai Dai, Lei Zhang.

pil-exercises

Programming in Lua 3rd edition exercises solutions

planet

Deep Planning Network: Control from pixels by latent planning with learned dynamics

platoon

Multi-GPU mini-framework for Theano

pointer-generator

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

pointer-networks

Pointer Networks Implementation in Keras

ppo-stein-control-variate

Proximal Policy Optimization with Stein Control Variates:

practical6

Practical 6: LSTM language models

primal-dual-toolbox

GPU-based Total (Generalized) Variation implementation for various applications, with Python and Matlab wrappers.

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

probml-notebooks

Notebooks for "Probabilistic Machine Learning" book

protovalue

A visualization of proto-value functions

proxmin

Proximal optimization in pure python

ps-lite

A light parameter server interface

py-orthpol

Construct orhogonal polynomials using Python

pyhsiclasso

Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data

pymc3

Probabilistic Programming in Python. Uses Theano as a backend, supports NUTS and ADVI.

pyprobml

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

python3_package_examples

A collection of my favourite Python packages with code examples.

pyunlocbox

A Python convex optimization package using proximal splitting methods

qmix

quadprog

Quadratic Programming Solver

rabit

Reliable Allreduce and Broadcast Interface for distributed machine learning

ranking

Learning to Rank in TensorFlow

regression-importance-sampling

Code release for "Importance Sampling with an Estimated Behavior Policy" (ICML 2019)

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-car

Using reinforcement learning to teach a car to avoid obstacles.

relax

Optimizing control variates for black-box gradient estimation