emited

gluonts

Probabilistic time series modeling in Python

discourseAnalysis

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

flow

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

gantk2

GAN(TK)²: GAN Neural Tangent Kernel ToolKit

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.

reno

SoRec

Implementation of SoRec: Social Recommandation Using Probabilistic Matrix Factorisation

VariationalRecurrentNeuralNetwork

Pytorch implementation of the Variational Recurrent Neural Network (VRNN).

emited/VariationalRecurrentNeuralNetwork

Pytorch implementation of the Variational Recurrent Neural Network (VRNN).

emited/flow

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

emited/gantk2

GAN(TK)²: GAN Neural Tangent Kernel ToolKit

emited/iclrreviewscrapper

ICLR Conference review scrapper.

emited/musicGAN

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

emited/highwayNetwork

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

emited/reno

emited/SoRec

Implementation of SoRec: Social Recommandation Using Probabilistic Matrix Factorisation

emited/the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

emited/Awesome-pytorch-list

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

emited/bostonHousePricesRegression

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

emited/CharGRUConversation

Torch implementation of Character Level Neural Conversation using GRUs.

emited/ensembleAnalysis

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

emited/gluon-ts

Probabilistic time series modeling in Python

emited/characterizing-pinns-failure-modes

Characterizing possible failure modes in physics-informed neural networks.

emited/DAPPER

Data Assimilation Package in Python for Experimental Research (DAPPER)

emited/emited.github.io

emited/NeuralMidiMachines

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

emited/OpticalFlowToolkit

Python-based optical flow toolkit for existing popular dataset

emited/PINNs

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

emited/POT

Python Optimal Transport library

emited/pretrained-models.pytorch

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

emited/pyro

Deep universal probabilistic programming with Python and PyTorch

emited/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

emited/pytorch-i-revnet

i-RevNet Pytorch Code

emited/sacred

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

emited/sacredboard

Dashboard for sacred

emited/siren-1

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

emited/tech-interview-handbook

💯 Algorithms study materials, behavioral content and tips for rocking your coding interview

emited/test

GitPitch In 60 Seconds - A Very Short Tutorial