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echotorch

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

edgeml

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

edmot

An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)

elis

Efficient Learning Interpretable Shapelets for Accurate Time Series Classification, ICDE 2018

emojitwo.github.io

Emojitwo Homepage

enc-dec-ad

Anormaly Detection With Deep Learning Encoder Decoder(https://arxiv.org/abs/1607.00148?context=cs)

encoder_decoder

Four styles of encoder decoder model by Python, Theano, Keras and Seq2Seq

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

f-anogan

Code for reproducing f-AnoGAN training and anomaly scoring

faceboxes

FaceBoxes: A CPU Real-time Face Detector with High Accuracy, IJCB, 2017

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit

faiss

A library for efficient similarity search and clustering of dense vectors.

fann2

fast

End-to-end earthquake detection pipeline via efficient time series similarity search

fast-wavenet.pytorch

A PyTorch implementation of fast-wavenet

faster_rcnn

Another pytorch implementation of Faster RCNN.

fb.resnet.torch

Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts

federated_learning_pytorch

Simplified implementation of federated learning in PyTorch

firstcontactwithtensorflow

This repository contains the information required by the TensorFlow Hands-on at Summer Seminar ETSETB TelecomBCN, 4-8 July 2016

five-video-classification-methods

Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow

flag_shapelets

Implementation of AAAI 2016 paper Efficient Learning of Timeseries Shapelets

fold

Deep learning with dynamic computation graphs in TensorFlow

forecasting_experiments

Experiments on forecasting using dynamic ensembles

fully-convolutional-networks-tf

A TensorFlow implementation of Fully Convolutional Networks (by http://fcn.berkeleyvision.org) which can be used for any segmentation dataset with any number of classes

gae

Implementation of Graph Auto-Encoders in TensorFlow

gcforest

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gcn_tutorial

A tutorial on Graph Convolutional Neural Networks

ge-fsg

Graph Embedding via Frequent Subgraphs

ggnn.pytorch

A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)