Roger Girgis's starred repositories

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gpudrive

GPU-acceleration of Nocturne via Madrona

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FJMP

[CVPR 2023] Official repository for FJMP: Factorized Joint Multi-Agent Motion Prediction

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trajdata

A unified interface to many trajectory forecasting datasets.

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scenarionet

ScenarioNet: Scalable Traffic Scenario Management System for Autonomous Driving

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DirectBehaviorSpecification

Code to reproduce the Arena environment experiments from Direct Behavior Specification via Constrained Reinforcement Learning.

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nocturne

A data-driven, fast driving simulator for multi-agent coordination under partial observability.

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envpool

C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.

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speedrun

Research code need not be ugly.

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yahoo_fin

Scrape stock price history from new (Spring 2017) Yahoo Finance layout

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social-driving

Design multi-agent environments and simple reward functions such that social driving behavior emerges

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SMARTS

Scalable Multi-Agent RL Training School for Autonomous Driving

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set_transformer

Pytorch implementation of set transformer

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dreamer-pytorch

Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.

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dreamer-pytorch

pytorch-implementation of Dreamer (Model-based Image RL Algorithm)

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HighwayEnv

A minimalist environment for decision-making in autonomous driving

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probabilistic_robotics

solution of exercises of the book "probabilistic robotics"

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Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions

Solutions of Reinforcement Learning, An Introduction

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JAAD

Annotation data for JAAD (Joint Attention in Autonomous Driving) Dataset

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waymo-open-dataset-viewer

A WebGL viewer for pointclouds of the Waymo Open Dataset

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slac

Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model

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autograd

Efficiently computes derivatives of NumPy code.

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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).

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keras_to_tensorflow

General code to convert a trained keras model into an inference tensorflow model

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AndroidTensorFlowMachineLearningExample

Android TensorFlow MachineLearning Example (Building TensorFlow for Android)

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