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causal-humans

causaldiscoverytoolbox

dash

Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.

dependency_criteria

Goal is to find the optimal dependency criterion for a dataset

diviyan-kalainathan.github.io

Cayman is a Jekyll theme for GitHub Pages

django-plotly-dash

Expose plotly dash apps as django tags

doom-emacs

An Emacs configuration for the stubborn martian vimmer

emacs-doom-themes

An opinionated pack of modern color-themes

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

gitignore

A collection of useful .gitignore templates

medi-chal

Provide access to medical data through data generation and challenges

mkdocstrings

:blue_book: Automatic documentation from sources, for MkDocs.

nvidia-test-amp

py-causal

pylp

Unified python wrappers for popular ILP solvers

python

A Python handler for mkdocstrings.

python-course

python-type-stubs

A set of type stubs for popular Python packages. These are works in progress from the Microsoft Python team and others, with the intent that they are contributed to typeshed or to the associated packages once sufficiently complete.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pyvarinf

Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch

rcit

The Randomized Conditional Independence Test (RCIT) and the Randomized conditional Correlation Test (RCoT)

sam

Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)

sam_datasets

Datasets used for the paper : "SAM: Structural Agnostic Model, Causal Discovery and Penalized Adversarial Learning"

sam_release

samv1

Code of the first version of the SAM algorithm, available at https://arxiv.org/abs/1803.04929v1

slurm-tutorial

slurmlib

A python interface for clusters under SLURM.

world-models

Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch

zsh-git-prompt

Informative git prompt for zsh