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p_net_anomaly_detection

This is the implementation of our paper in ECCV 2020.

py_fast-quadric-mesh-simplification

Mesh triangle reduction using quadrics

pytorch-unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

pytorch_ard

Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks

pytorch_ehr

source codes based on PyTorch to analyze EHR

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

pytorchreg

Applied Sparse regularization (L1), Weight decay regularization (L2), ElasticNet, GroupLasso and GroupSparseLasso to Neuronal Network.

pytorchvideo

A deep learning library for video understanding research.

qasystemonmedicalkg

A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建，自动问答，基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱，并以该知识图谱完成自动问答与分析服务。

random_gpu

reagent

A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)

records-research

resnet1d

PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.

robust-classification

CVPR 2022 Workshop Robust Classification

santander-product-recommendation

2nd Place Solution of the Kaggle Competition - Santander Product Recommendation

science_rcn

Reference implementation of a two-level RCN model

sebastianruder.github.io

Repository for my personal website

semantic-segmentation

Collect lightweight semantic segmentation models

sentencepiece

Unsupervised text tokenizer for Neural Network-based text generation.

seqeval

A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)

seurat

R toolkit for single cell genomics

sfmlearner

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

sfmlearner-pytorch

Pytorch version of SfmLearner from Tinghui Zhou et al.

shap

A game theoretic approach to explain the output of any machine learning model.

simpleitk

SimpleITK: a layer built on top of the Insight Toolkit (ITK), intended to simplify and facilitate ITK's use in rapid prototyping, education and interpreted languages.

sinus-surgery-endoscopic-image-datasets

Novel image segmentation datasets collected from endoscopic videos of sinus surgery processes

slambook

slambook2

edition 2 of the slambook

slicer

Multi-platform, free open source software for visualization and image computing.

slicerbigimage

Large (GB and above) scale microscopic image computing using 3D Slicer