alex-petrenko Goto Github PK

4dvideo

Capturing volumetric videos with Google Tango, RealSense R200 and Delaunay triangulation

alex-petrenko

GitHub profile

alex-petrenko.github.io

Personal website

animations

Manim animations for various projects

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

curious-rl

Curiosity-driven Exploration by Self-supervised Prediction

difficulty-aware-mt-evaluation

Difficulty-Aware Machine Translation Evaluation (ACL 2021)

faster-fifo

Faster alternative to Python's multiprocessing.Queue (IPC FIFO queue)

flightmare

An Open Flexible Quadrotor Simulator

landmark-exploration

Attempt to develop a new RL algorithm for hard exploration problems

machinelearning-labs

magnum

Lightweight and modular C++11/C++14 graphics middleware for games and data visualization

megaverse

High-throughput simulation platform for Artificial Intelligence reseach

microtbs-rl

Training reinforcement learning agents to beat a simple turn-based strategy game

mvvmcross-plugins

Repository for MvvmCross plugins

quad-swarm-rl

Reinforcement learning for quadrotor swarms

quad_sim2multireal

Repository for IROS 2019

ray

A system for parallel and distributed Python that unifies the ML ecosystem.

rl_games

RL implementations

rlpyt

Reinforcement Learning in PyTorch

sample-factory

High throughput synchronous and asynchronous reinforcement learning

scalable_agent

A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.

seed_rl

SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.

sf_assets

Some assets for the other repos to minimize the size of the actual repos people clone

signal-slot

Qt-like event loops, signals and slots for communication across threads and processes in Python

snake-rl

Monte-Carlo rollout into the future predicted by DNN

tensorflow

Computation using data flow graphs for scalable machine learning

tf-reinforce

Tensorflow implementation of the REINFORCE policy gradient algorithm

udacity-deep-learning

Python code written along the course.