DDCoan

DDCoan's Stars

• py-why/dowhy

  DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

  Language:Python7.2k140482938

• cambecc/earth

  a project to visualize global weather conditions

  Language:JavaScript6.2k2781311.2k

• ashleve/lightning-hydra-template

  PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

  Language:Python4.4k29247664

• google/brax

  Massively parallel rigidbody physics simulation on accelerator hardware.

  Language:Jupyter Notebook2.5k33362262

• MakieOrg/Makie.jl

  Interactive data visualizations and plotting in Julia

  Language:Julia2.5k272.7k317

• isaac-sim/IsaacGymEnvs

  Isaac Gym Reinforcement Learning Environments

  Language:Python2.2k37211441

• n2cholas/awesome-jax

  JAX - A curated list of resources https://github.com/google/jax

  1.6k518134

• patrick-kidger/torchtyping

  Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.

  Language:Python1.4k163634

• google-research/disentanglement_lib

  disentanglement_lib is an open-source library for research on learning disentangled representations.

  Language:Python1.4k3427203

• google-deepmind/jraph

  A Graph Neural Network Library in Jax

  Language:Python1.4k393991

• google-deepmind/rlax

  Language:Python1.3k342689

• wangcongrobot/awesome-isaac-gym

  A curated list of awesome NVIDIA Issac Gym frameworks, papers, software, and resources

  72422260

• pnkraemer/tueplots

  Figure sizes, font sizes, fonts, and more configurations at minimal overhead. Fix your journal papers, conference proceedings, and other scientific publications.

  Language:Python67945425

• RobertTLange/gymnax

  RL Environments in JAX 🌍

  Language:Python679105561

• ikostrikov/jaxrl

  JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

  Language:Jupyter Notebook64913870

• ott-jax/ott

  Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.

  Language:Python5551019482

• poets-ai/elegy

  A High Level API for Deep Learning in JAX

  Language:Python4711610632

• probabilistic-numerics/probnum

  Probabilistic Numerics in Python.

  Language:Python446830157

• rr-learning/CausalWorld

  CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning

  Language:Python213204025

• stelzner/srt

  Independent PyTorch implementation of Scene Representation Transformer

  Language:Python21111620

• addtt/object-centric-library

  Library for the training and evaluation of object-centric models (ICML 2022)

  Language:Python65344

• dido1998/CausalMBRL

  Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning

  Language:Python486214

• uhlerlab/discrepancy_vae

  code for paper: Identifiability Guarantees for Causal Disentanglement from Soft Interventions

  Language:Jupyter Notebook10202

• rr-learning/rrc2022

  Example package for the Real Robot Challenge 2022

  Language:Python31806

• rr-learning/rrc_2022_datasets

  Gym environments to get the datasets for the Real Robot Challenge 2022

  Language:Python2713