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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.

cs231n-2017

Completed the CS231n 2017 spring assignments from Stanford university

cs231n-2017-summary

After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.

deep-neuroevolution

Deep Neuroevolution

deep-visualization-toolbox

DeepVis Toolbox

deepneuroevolution

Evolving deep neural network agents using Genetic Algorithms

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

jem

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

kaushik_2018_multi-dex

Source code for "Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards" (CoRL 2018)

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