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activationfunctionsliders

Interactive visualizations of 1D and 2D results of various NN activations functions parameterized by sliders.

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

bostonhousepricesregression

Linear regressions (normal, lasso, l2, etc) on sklearn's Boston house prices dataset.

businessintelligence

Combining open and scraped web data from city of Paris to predict restaurant cleanliness.

characterizing-pinns-failure-modes

Characterizing possible failure modes in physics-informed neural networks.

chargruconversation

Torch implementation of Character Level Neural Conversation using GRUs.

dapper

Data Assimilation Package in Python for Experimental Research (DAPPER)

discourseanalysis

Using discourse analysis tools to infer text types (narrative, explicative, argumentative).

emited.github.io

ensembleanalysis

Implementation of Bagging and Adaboost, and analysis of their effects on the bias-variance tradeoff.

flow

Implementation of our ICLR paper: https://openreview.net/pdf?id=By4HsfWAZ

gantk2

GAN(TK)²: GAN Neural Tangent Kernel ToolKit

gluon-ts

Probabilistic time series modeling in Python

highwaynetwork

Torch highway network implementation + training/evaluation on MNIST from https://arxiv.org/abs/1505.00387.

iclrreviewscrapper

ICLR Conference review scrapper.

musicgan

Training LSTM/Convnets based generative adversarial networks for generating audio data using Torch.

neuralmidimachines

Using neural network based models to generate music using midi files.

opticalflowtoolkit

Python-based optical flow toolkit for existing popular dataset

pinns

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

pot

Python Optimal Transport library

pretrained-models.pytorch

Pretrained ConvNets for pytorch: ResNeXt101, ResNet152, InceptionV4, InceptionResnetV2, etc.

projmogpl

pyro

Deep universal probabilistic programming with Python and PyTorch

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-i-revnet

i-RevNet Pytorch Code

reno

reversible-raytracer

a fully-differentiable graphical raytracer

sacred

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

sacredboard

Dashboard for sacred

siren-1

Official implementation of "Implicit Neural Representations with Periodic Activation Functions"