zsbeta

apollo

An open autonomous driving platform

BDA_course_Aalto

Bayesian Data Analysis course at Aalto

BDA_py_demos

Bayesian Data Analysis demos for Python

bullet3

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

Causality

coding-interview-university

A complete computer science study plan to become a software engineer.

deep-neuroevolution

Deep Neuroevolution

deep-visualization-toolbox

DeepVis Toolbox

EMG

Extended Markov Games, empirical tests

erl_paper_nips18

Code accompanying the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" accepted at NIPS 2018

focal-mainline-builder

Docker container to build Ubuntu Mainline kernels for use on 20.04 LTS

highway-env

A minimalist environment for decision-making in autonomous driving

imitation

Clean PyTorch implementations of imitation and reward learning algorithms

InfoGAIL

Pytorch implementation of InfoGAIL and WGAIL

intrinsic-rewards

[WIP] A colletion of DRL algorithms with intrinsic rewards

kaushik_2020_famle

Fast Online Adaptation in Robotics through Meta-Learning Embeddings of Simulated Priors

lil-log

Lilian's Blog

multiagent-particle-envs

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

NLPLabs

Jupyter notebooks for CO490 NLP course

online-normalization

Online Normalization for Training Neural Networks (Companion Repository)

ossapps

A non-exhaustive list of open sourced clock faces, applications and modules from the community.

Oxford-Deep-Learning

Oxford Deep NLP 2017 course

pytorch-a2c-ppo-acktr-gail

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

PyTorch-Geometric-YooChoose

This is a tutorial for PyTorch Geometric on the YooChoose dataset

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

real-nvp-pytorch

Real NVP PyTorch a Minimal Working Example | Normalizing Flow

zsbeta.github.io

Build a Jekyll blog in minutes, without touching the command line.

JEM

Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"

reinforcement-learning

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

uvadlc_notebooks

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2021