Alternatives and similar repositories for resources

Users that are interested in resources are comparing it to the libraries listed below

• sscardapane / hydra-tutorial
  Companion code for a tutorial on using Hydra.
  ☆30Updated 4 years ago
• cicl-stanford / csm
  Contains all materials for the paper "A counterfactual simulation model of causal judgment".
  ☆24Updated 4 years ago
• nanavatirutu / CausalBandits
  Project on Causal Machine learning CS 7290
  ☆16Updated 6 years ago
• dobriban / Topics-in-deep-learning
  Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)
  ☆94Updated 3 years ago
• lightlightdyy / Deep-Learning-and-Causal-Inference
  ☆30Updated 7 years ago
• anndvision / quince
  Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
  ☆24Updated 3 years ago
• lvwerra / deep-math
  Implementation of "Analysing Mathematical Reasoning Abilities of Neural Models"
  ☆30Updated 2 years ago
• rishabhk108 / OptimizationML
  Material for my course: Optimization in Machine Learning
  ☆32Updated 4 years ago
• probml / bandits
  Bayesian Bandits
  ☆68Updated 2 years ago
• yannadani / cbed
  Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.
  ☆20Updated 2 years ago
• nke001 / causal_learning_unknown_interventions
  Code for "Neural causal learning from unknown interventions"
  ☆104Updated 5 years ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆29Updated 5 years ago
• microsoft / AdversarialGMM
  Minimax Estimation of Conditional Moment Models
  ☆32Updated 2 years ago
• jmkuebler / auto-tst
  AutoML Two-Sample Test
  ☆19Updated 3 years ago
• craffel / jax-tutorial
  A tutorial on JAX (https://github.com/google/jax/)
  ☆47Updated 6 years ago
• sergeyf / SmallDataBenchmarks
  Small Dataset Benchmarks on the Dataset of Datasets UCI++
  ☆93Updated 3 years ago
• almost-matching-exactly / DAME-FLAME-Python-Package
  A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data
  ☆62Updated 5 months ago
• amit-sharma / chatgpt-causality-pairs
  Solving the causality pairs challenge (does A cause B) with ChatGPT
  ☆79Updated last year
• bradyneal / causal-book-code
  ☆81Updated 5 years ago
• sayakpaul / Barlow-Twins-TF
  TensorFlow implementation of Barlow Twins (https://arxiv.org/abs/2103.03230).
  ☆41Updated 4 years ago
• OATML / ucate
  Uncertainty in Conditional Average Treatment Effect Estimation
  ☆33Updated 4 years ago
• bradyneal / causal-inference-books
  Flowchart to help choose which causal inference book to read. See https://bradyneal.github.io/which-causal-inference-book for more info s…
  ☆60Updated 6 years ago
• wilsonjr / ClusterShapley
  Explaining dimensionality results using SHAP values
  ☆55Updated 11 months ago
• ritchieng / the-incredible-tensorflow
  The Incredible TensorFlow 2: a curated list of tutorials, papers, projects, communities and more relating to TensorFlow 2.
  ☆30Updated 6 years ago
• ganguli-lab / degrees-of-freedom
  ☆37Updated 3 years ago
• maxwshen / iap-cidl
  Causal Inference & Deep Learning, MIT IAP 2018
  ☆89Updated 7 years ago
• muellerzr / fastai2-Tabular-Baselines
  A few baselines with a standard tabular model
  ☆38Updated 5 years ago
• mdeff / learning-from-graphs-webconf2021
  Learning from Graphs: From Mathematical Principles to Practical Tools
  ☆11Updated 4 years ago
• probabilisticai / probai-2019
  Materials of the Nordic Probabilistic AI School 2019.
  ☆130Updated 5 years ago
• sgugger / hf_examples
  NLP Examples using the 🤗 libraries
  ☆40Updated 4 years ago