DevinJMcc

python-cheatsheet

Comprehensive Python Cheatsheet

piq

Measures and metrics for image2image tasks. PyTorch.

self-supervised-relational-reasoning

Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

swav

PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882

corefBias

To analyze and remove gender bias in coreference resolution systems

Awesome-Learning-with-Label-Noise

A curated list of resources for Learning with Noisy Labels

PacGAN

[NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks

self-conditioned-gan

Diverse Image Generation via Self-Conditioned GANs

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

flopp

flopp is a software package for single individual haplotype phasing of polyploid organisms from long read sequencing.

bayesian-analysis-recipes

A collection of Bayesian data analysis recipes using PyMC3

tigramite

Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at

pyprobml

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

ALAE

[CVPR2020] Adversarial Latent Autoencoders

mimicry

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

scipy-2020-intro-to-python

Introduction to Python Tutorial at SciPy 2020

py-causal

submarine

Code for SubMARine.

deep-learning-from-scratch-pytorch

Deep Learning from Scratch with PyTorch

dask-tutorial

Dask tutorial

bayesian-stats-modelling-tutorial

How to do Bayesian statistical modelling using numpy and PyMC3

causal-text-embeddings

Software and data for "Using Text Embeddings for Causal Inference"

deconfounder_tutorial

BnpC

Bayesian non-parametric clustering (BnpC) of binary data with missing values and uneven error rates

hellorust

Template R package with rust bindings

causalnex

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

dpmm

Dirichlet process mixture model.

politicaldata

🗳📊An R package for acquiring and analyzing political data — including polls, election results, legislator information, and demographic data.

pytorch-summary

Model summary in PyTorch similar to `model.summary()` in Keras