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fastgcn

The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""

flowchart.js

Draws simple SVG flow chart diagrams from textual representation of the diagram

focal-loss-pytorch

全中文注释.(The loss function of retinanet based on pytorch).(You can use it on one-stage detection task or classifical task, to solve data imbalance influence).用于one-stage目标检测算法,提升检测效果.你也可以在分类任务中使用该损失函数,解决数据不平衡问题.

gat-stroke

Graph attention network for stroke classification

gcn

Implementation of Graph Convolutional Networks in TensorFlow

google-research

Google Research

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

graph_nets

Build Graph Nets in Tensorflow

graphsage

Representation learning on large graphs using stochastic graph convolutions.

image_segmentation

pytorch Implementation of U-Net, R2U-Net, Attention U-Net, Attention R2U-Net.

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

inception-v3.torch

Rethinking the Inception Architecture for Computer Vision

instance-segmentation-pytorch

Semantic Instance Segmentation with a Discriminative Loss Function in PyTorch

instance-segmentation-with-discriminative-loss-tensorflow

Tensorflow implementation of "Semantic Instance Segmentation with a Discriminative Loss Function"

js-sequence-diagrams

Draws simple SVG sequence diagrams from textual representation of the diagram

liac-arff

A library for read and write ARFF files in Python

libwb

lstm-pytorch

LSTM Classification using Pytorch

markdown-reader

This is a simply reader for markdown file

meanshift_py

Simple implementation of mean shift clustering in python

meta-open-world-learning

code for our WWW 2019 paper: "Open-world Learning and Application to Product Classification"

nehe-opengl

The complete archive of all NeHe OpenGL Lessons available at http://nehe.gamedev.net.

network_enhancement

nlp-ml

《自然语言处理理论与实战》一书源码下载

nndl.github.io

《神经网络与深度学习》 Neural Network and Deep Learning

onnx

Open standard for machine learning interoperability

onnxruntime-projects

Code for some onnxruntime projects

pmtk3

Probabilistic Modeling Toolkit for Matlab/Octave.

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

prml

PRML algorithms implemented in Python