ninodimontalcino

ninodimontalcino's Stars

• google/gemma_pytorch

  The official PyTorch implementation of Google's Gemma models

  Language:Python5.3k508

• cicl-stanford/moca

  Language model evaluation for morality and causality

  Language:Python15

• bertiev/SimpleSafetyTests

  152

• allenai/allennlp

  An open-source NLP research library, built on PyTorch.

  Language:Python11.8k2.3k

• zhijing-jin/CausalNLP_Papers

  A reading list for papers on causality for natural language processing (NLP)

  50359

• anthropics/evals

  23824

• kathoffman/causal-inference-visual-guides

  A collection of visual guides to help applied scientists learn causal inference.

  24321

• zfchenUnique/compositional_physics_learner

  Language:Python364

• google-deepmind/dm_alchemy

  DeepMind Alchemy task environment: a meta-reinforcement learning benchmark

  Language:Python19721

• StanfordVL/causal_induction

  Codebase for "Causal Induction from Visual Observations for Goal-Directed Tasks"

  Language:Python125

• yannadani/vcn_pytorch

  Official Implementation of the paper "Variational Causal Networks: Approximate Bayesian Inference over Causal Structures"

  Language:Python161

• logangraham/arXausality

  A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.

  Language:Python41351

• py-why/causal-learn

  Causal Discovery in Python. It also includes (conditional) independence tests and score functions.

  Language:Python1.2k191

• google-deepmind/mujoco

  Multi-Joint dynamics with Contact. A general purpose physics simulator.

  Language:Jupyter Notebook8.1k816

• dido1998/CausalMBRL

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

  Language:Python4814

• biomedia-mira/deepscm

  Repository for Deep Structural Causal Models for Tractable Counterfactual Inference

  Language:Jupyter Notebook26953

• facebookresearch/DomainBed

  DomainBed is a suite to test domain generalization algorithms

  Language:Python1.4k298

• slachapelle/dcdi

  Repository for "Differentiable Causal Discovery from Interventional Data"

  Language:Python7213

• FenTechSolutions/CausalDiscoveryToolbox

  Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

  Language:Python1.1k199

• ryantibs/conformal

  Tools for conformal inference in regression

  Language:R22152

• google/uncertainty-baselines

  High-quality implementations of standard and SOTA methods on a variety of tasks.

  Language:Python1.4k203

• pyro-ppl/numpyro

  Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

  Language:Python2.2k239

• uber/causalml

  Uplift modeling and causal inference with machine learning algorithms

  Language:Python5.1k779

• altdeep/causalML

  The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML

  Language:Jupyter Notebook730197

• nke001/causal_learning_unknown_interventions

  Code for "Neural causal learning from unknown interventions"

  Language:C9918

• xunzheng/notears

  DAGs with NO TEARS: Continuous Optimization for Structure Learning

  Language:Python598133

• donlnz/nonconformist

  Python implementation of the conformal prediction framework.

  Language:Python43196

• mckinsey/causalnex

  A Python library that helps data scientists to infer causation rather than observing correlation.

  Language:Python2.2k258

• erdogant/bnlearn

  Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.

  Language:Jupyter Notebook47646

• AMLab-Amsterdam/CEVAE

  Causal Effect Inference with Deep Latent-Variable Models

  Language:Python324101