Library of implementations for competitive programming

An elegant PyTorch deep reinforcement learning library.

A standard framework for modelling Deep Learning Models for tabular data

Line-by-line profiling for Python

Profiling and inspecting memory in pytorch

PFRL: a PyTorch-based deep reinforcement learning library

Training framework for conditional imitation learning

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

A curated list of awesome imitation learning resources and publications

⚡ Competitive Programming Library

럭스를 럭스답게 든든한 연습헬팟 더불어민규당

Summaries and minimal implementations of ML / statistics research articles.

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

Python sample codes and textbook for robotics algorithms.

SnapDragon's solutions for the ACM ICPC World Finals problems.

Arnold - DOOM Agent

TensorFlow plugin for the Unreal Engine.

Simple examples to introduce PyTorch

Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.

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

Natural Language Processing Tasks and References

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

TensorFlow tutorials and best practices.

Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)

LSTM and QRNN Language Model Toolkit for PyTorch

Library of C++ implementations for algorithms used in competitive programming.

Deep recommender models using PyTorch.