redzgn Goto Github PK

fracreconnet

Fracture Reconstruction Network

gee

Pytorch implementation of GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection

google-research

Google Research

gpt2-chest-x-ray-report-generation

This is the implementation of the CDGPT2 model mentioned in our paper 'Automated Radiology Report Generation using Conditioned Transformers'

graph-rl

Graph-based Reinforcement Learning

gumbel-crf

Implementation of NeurIPS 20 paper: Latent Template Induction with Gumbel-CRFs

hdp-gp-hsmm

hierarchicaldet

Diffusion-Based Hierarchical Multi-Label Object Detection to Analyze Panoramic Dental X-rays

homepage

hsmm-trans-segmentation

hsmm-word-segmentation

Hidden Semi-Markov Modelによる単語分割・品詞推定の実装です．ユニグラム言語モデルを使っているので性能はそんなに高くありません．

hsmmlearn

A library for hidden semi-Markov models with explicit durations

human-motion-analysis-with-deep-metric-learning

pytorch implement of this paper: https://arxiv.org/abs/1807.11176

human-pose-compare

Contains code on comparing actions performed by human beings and scoring them

human-pose-estimation.pytorch

The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

humanpose-and-urbanscene-matching

Human Pose Matching and feature matching applied on buildings and human poses

icnet

ICNet: Intra-saliency Correlation Network for Co-Saliency Detection, NeurIPS(2020)

icnet-1

ICNet for Real-Time Semantic Segmentation on High-Resolution Images, ECCV2018

index-based-join-sampling

An implementation of the algorithms presented in the paper "Cardinality Estimation Done Right: Index-Based Join Sampling"

insightface

State-of-the-art 2D and 3D Face Analysis Project

intensio-obfuscator

Obfuscate a python code 2.x and 3.x

interpretable_predictions

Interpretable Neural Predictions with Differentiable Binary Variables

invariant_rationalization

Tensorflow implementation of Invariant Rationalization

keras-self-attention

Attention mechanism for processing sequential data that considers the context for each timestamp.

kl_text_vae

[WNGT(2019)] On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation

knightking

A general-purpose, distributed graph random walk engine.

learning-based-cost-estimator

lipschitzrnn

Lipschitz Recurrent Neural Networks

localsend

An open-source cross-platform alternative to AirDrop

logparser

A toolkit for automated log parsing [ICSE'19, TDSC'18, ICWS'17, DSN'16]