satpreetsingh

UWBeamerPosterTemplate

BeamerPoster Template using UW colors and logo

numpy-ml

Machine learning, in numpy

Practical_RL

A course in reinforcement learning in the wild

aima-exercises

Exercises for the book Artificial Intelligence: A Modern Approach

Awesome-VAEs

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

Data

datascienceinpractice.github.io

Website source for Data Science in Practice. Note that this repository is for hosting only, and content is controlled and created by the Site repository.

David-Silver-Reinforcement-learning

Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.

Deep-RL-Notes

A collection of comprehensive notes on Deep Reinforcement Learning, based on UC Berkeley's CS 285 (prev. CS 294-112)

eligibility_propagation

evostrat

A library that makes Evolutionary Strategies (ES) simple to use.

Greedy_InfoMax

Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations

grid-pattern-formation

repository for Neurips 2019 publication code

hopfield-layers

Hopfield Networks is All You Need

Lessons-Learned-Data-Science-Interviews

Lessons learned the hard way through over 30+ data science interviews

mathematical-tours.github.io

Site web of the Mathematical Tours

pfrl

PFRL: a PyTorch-based deep reinforcement learning library

PPSeq.jl

Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains

PsychRNN

releasing-research-code

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

Research_CV_Template

A clean and crisp CV template

RL-Adventure-2

PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

rl_trickery

A bag of tricks for reinforcement learning

seqMultiTaskRNN

sequential learning in orthogonal subspaces

Site

Repository for managing the Data Science in Practice website.

stochastic-control

Course notes for ECSE 506: Stochastic Control and Decision Theory

V-MPO_Lunarlander

Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

WaterLily

Real-time fluid simulator in Julia

WhileMyMCMCGentlySamples

my blog