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ecg_challenge_baseline_keras

ECG_challenge_baseline_keras

ecmlpkdd2015

Ridge Regression, Hubness, and Zero-Shot Learning

effectivetensorflow

TensorFlow tutorials and best practices.

eforest

This is the official implementation for the paper 'AutoEncoder by Forest'

elektronn3

Utilities for 3D CNNs in PyTorch

em_capsules

Pytorch Implementation of EM capsules in the paper "Matrix capsules with EM routing"

explanatorygraph

Interpreting CNN Knowledge via an Explanatory Graph

face_recognition

The world's simplest facial recognition api for Python and the command line

facenet-pytorch

https://arxiv.org/pdf/1503.03832.pdf - Pytorch

facenet_pytorch

PyTorch implementation of the paper "FaceNet: A Unified Embedding for Face Recognition and Clustering"

fall2018-tutorials

Tutorials for Fall 2018

fancl

Fast Low-Rank Matrix Learning with Nonconvex Regularization. Matlab Code

fast-pcr

Fast (stochastic) iterative methods for principal component regression

fasterrcnn_keras

flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

future3d-ai-challenge-baseline

FUTURE3D TianChi AI Challenge - Baseline and Evaluation codes

gan_review

A Survey and Taxonomy of the Recent GANs Development & GAN-based Action Recognition Implementations

gan_stability

Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"

gans-in-pytorch

Implementation for different kinds of GANs in PyTorch

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gcn-over-pruned-trees

Graph Convolution over Pruned Dependency Trees Improves Relation Extraction (authors' PyTorch implementation)

gconvrnn

Graph convolutional recurrent neural network

gem

generative-adversarial-networks

Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs

generative-and-discriminative-voxel-modeling

Voxel-Based Variational Autoencoders, VAE GUI, and Convnets for Classification

geometric-deep-learning-literature

getting-things-done-with-pytorch

Hands-On Guide to Solving Real World Problems with Machine Learning

gfwdata

个人收集整理科学上网的资料,保持更新

gmm-em-clustering

高斯混合模型（GMM 聚类）的 EM 算法实现。