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bayesian-neural-network-mnist

Bayesian neural network using Pyro and PyTorch on MNIST dataset

brits

Code of NIPS18 Paper: BRITS: Bidirectional Recurrent Imputation for Time Series

course22p2

course.fast.ai 2022 part 2 - under construction

deck_of_cards

Test of new repo from nbdev template using Lesson 2 instructions for fastai. When exporting jupyter notebook to script.

deep-learning-algorithms

CNN, LSTM, RNN, GRU, DNN, BERT, Transformer, ULMFiT

deep-visualization-toolbox

DeepVis Toolbox

diffusion-nbs

Getting started with diffusion

dropoutuncertaintyexps

Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"

e2egan

early-stopping-pytorch

Early stopping for PyTorch

eicu-code

Code and website related to the eICU Collaborative Research Database

fastbook

The fastai book, published as Jupyter Notebooks

fastsetup

Setup all the things

gain-pytorch

Pytorch implementation of GAIN for missing data imputation

ganlab

GAN Lab: An Interactive, Visual Experimentation Tool for Generative Adversarial Networks

ganpriors

Official TensorFlow implementation of GAN-based priors for quantifying uncertainty.

gru-d

Gated Recurrent Unit with a Decay mechanism for Multivariate Time Series with Missing Values

gru-d-by-han-jd-

inspired by 'Recurrent Neural Networks for Multivariate Time Series with Missing Values' pytorch ver

gru-d-by-wenjiedu-

A python toolbox/library for data mining on partially-observed time series, supporting tasks of forecasting/imputation/classification/clustering on incomplete multivariate time series with missing values.

kaggle-web-traffic

1st place solution

machine-learning-collection

PyTorch Tutorials, TensorFlow Tutorials and Machine Learning Algorithms

miscellaneous

mltrain-nips-2017

This repository contains all the material for the MLTrain NIPS workshop

multibench

[NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning

nbmanager

View and stop running IPython notebook servers

paper-list-on-imbalanced-time-series-classification-with-deep-learning

partial-encoder-decoder

An encoder-decoder framework for learning from incomplete data

propensity-to-pay

Bayesian network implementations

pytorch-beginner

pytorch tutorial for beginners

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.