Mr8ND

PlotNeuralNet

Latex code for making neural networks diagrams

pytorch-cifar

95.47% on CIFAR10 with PyTorch

pytorch-vqvae

Vector Quantized VAEs - PyTorch Implementation

pytorch-flows

PyTorch implementations of algorithms for density estimation

sbi

Simulation-based inference toolkit

RotNet

GAN-for-tabular-data

We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.

swyft

A system for scientific simulation-based inference at scale.

scraping-ebay

Scraping Ebay's products using Scrapy Web Crawling Framework

PyTorchDiscreteFlows

Discrete Normalizing Flows implemented in PyTorch

cocoa

communication-efficient distributed coordinate ascent

madminer

Machine learning–based inference toolkit for particle physics

srvp

Official implementation of the paper Stochastic Latent Residual Video Prediction

timegan-pytorch

This repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.

GAN_Time_Series

A model to generate time series data with the purpose of augmenting a dataset of various time series.

RFCDE

Random Forests for Conditional Density Estimation

FlexCoDE

FlexCode

Implementation of Flexible Conditional Density Estimator

GNTPP

This is the official codebase of `Exploring Generative Neural Temporal Point Process' (Accepted by TMLR).

fair_clustering

CDE-diagnostics

Diagnostics for Conditional Density Estimators and Bayesian Inference Algorithms

lf2i

Likelihood-Free Frequentist Inference

hh0

Hierarchical Hubble Constant Inference

cdetools

Tools for Conditional Density Estimates

DeepCDE

Neural networks for conditional density estimation

NNKCDE

Nearest Neighbor Kernel Conditional Density Estimation

simple_hwr

dpscd

Differentially Private Stochastic Coordinate Descent.

meg

Mutually exciting point process graphs for modelling dynamic networks

CoresetIndividualFairness

Coreset for Individual Fairness