zsbeta

zsbeta's Stars

• HenryLHH/fusion

  This is the source code of FUSION, a safety-aware causal representation for generalizable driving agents.

  Language:Python17

• Showmax/kinetics-downloader

  Download DeepMind's Kinetics dataset.

  Language:Python26586

• metadriverse/metadrive

  MetaDrive: Lightweight driving simulator for everyone

  Language:Python879123

• mitmedialab/nmi-ai-2023

  A repository for the paper "Beliefs about AI influence human-AI interaction and can be manipulated to increase perceived trustworthiness, empathy, and effectiveness" Nature Machine Intelligence 2023.

  Language:Jupyter Notebook164

• johnMinelli/carla-gym

  Multi-agent reinforcement learning interface for CARLA Autonomous Driving simulator compatible with PettingZoo

  Language:Python4711

• mlajtos/moniel

  Interactive Notation for Computational Graphs

  Language:JavaScript36328

• helblazer811/ManimML

  ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.

  Language:Python2.5k153

• JeanElsner/panda-py

  Python bindings for real-time control of Franka Emika robots.

  Language:C++12321

• wgrathwohl/JEM

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

  Language:Python42064

• YBCheung/Safe_Learning

  Language:Jupyter Notebook1

• t-vi/pytorch-tvmisc

  Totally Versatile Miscellanea for Pytorch

  Language:Jupyter Notebook47073

• connorlee77/pytorch-mutual-information

  Mutual Information in Pytorch

  Language:Python11011

• chrku/TF2-Energy-Based-Models

  TF2 Implementation of "Energy Based Models" (Du and Mordatch) and Joint-Energy Models (Grathwohl et al.)

  Language:Jupyter Notebook103

• fregu856/ebms_regression

  Official implementation of "Energy-Based Models for Deep Probabilistic Regression" (ECCV 2020) and "How to Train Your Energy-Based Model for Regression" (BMVC 2020).

  Language:Jupyter Notebook9618

• zihangdai/cegan_iclr2017

  Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"

  Language:Python235

• zilongzheng/CoopNets

  Cooperative Learning of Energy-Based Model and Latent Variable Model via MCMC Teaching

  Language:Python279

• ritheshkumar95/energy_based_generative_models

  PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models

  Language:Python14924

• rafaelpossas/bayes_sim

  Language:Python166

• NVlabs/bayes-sim-ig

  BayesSimIG: Scalable Parameter Inference for Adaptive Domain Randomization with Isaac Gym

  Language:Python431

• KaosEngineer/PriorNetworks

  Language:Python6616

• FangchenLiu/SAIL

  Code for Paper "State Alignment-based Imitation Learning". Under maintenance

  Language:Python176

• facebookresearch/SingleModelUncertainty

  Learning error bars for neural network predictions

  Language:Python7014

• justagist/panda_robot

  A ROS python interface for using the franka robot (requires franka_ros_interface). Simplified control and management API.

  Language:Python8716

• Atcold/pytorch-PPUU

  Code for Prediction and Planning Under Uncertainty (PPUU)

  Language:Jupyter Notebook20955

• lucastheis/model-evaluation

  Code for Figures 1 and 2 in http://arxiv.org/abs/1511.01844

  Language:Python93

• eriklindernoren/PyTorch-GAN

  PyTorch implementations of Generative Adversarial Networks.

  Language:Python16.9k4.1k

• arpan-kusari/Naturalistic-SUMO-Gym

  We provide an open source software package for AV based simulation and testing running a docker container

  Language:Python2712

• LucasAlegre/sumo-rl

  Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.

  Language:Python813212

• fjp/frenet

  Transform Frenet (s,d) to local Cartesian (x,y) coordinates.

  Language:HTML23467

• probml/pyprobml

  Python code for "Probabilistic Machine learning" book by Kevin Murphy

  Language:Jupyter Notebook6.7k1.6k