This is a PyPI mirror client according to PEP 381 + PEP 503 http://www.python.org/dev/peps/pep-0381/. bandersnatch =4.0 supports Linux, MacOSX + Wind

Introduction hacking is a set of flake8 plugins that test and enforce the OpenStack StyleGuide Hacking pins its dependencies, as a new release of some

OpenStack OpenStack is a collection of interoperable components that can be deployed to provide computing, networking and storage resources. Those inf

This is a PyPI mirror client according to PEP 381 + PEP 503 http://www.python.org/dev/peps/pep-0381/. bandersnatch =4.0 supports Linux, MacOSX + Wind

Deluge is a BitTorrent client that utilizes a daemon/client model. It has various user interfaces available such as the GTK-UI, Web-UI and a Console-UI. It uses libtorrent at it's core to handle the BitTorrent protocol.

一个关于所有格式文件读取的方法 1。 问题描述： 各种各样的文件格式，读写操作非常的麻烦，能够有一种方法，可以整合所有格式的文件，方便用户进行读取和写入。 2

NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation [ICLR-2021] Release Notes The offical PyTorch implementation of NeMo, p

Welcome to the GitHub repository of CherryPy! CherryPy is a pythonic, object-oriented HTTP framework. It allows building web applications in much the

Predicting Patient Outcomes with Graph Representation Learning This repository contains the code used for Predicting Patient Outcomes with Graph Repre

CIPS -- Official Pytorch Implementation of the paper Image Generators with Conditionally-Independent Pixel Synthesis Requirements pip install -r requi

TransBTS: Multimodal Brain Tumor Segmentation Using Transformer This repo is the official implementation for TransBTS: Multimodal Brain Tumor Segmenta

[TCSVT] Each Part Matters: Local Patterns Facilitate Cross-view Geo-localization LPN [Paper] NEWs Prerequisites Python 3.6 GPU Memory = 8G Numpy 1.

LogME LogME: Practical Assessment of Pre-trained Models for Transfer Learning How to use Just feed the features f and labels y to the function, and yo

Meta-Solver for Neural Ordinary Differential Equations Towards robust neural ODEs using parametrized solvers. Main idea Each Runge-Kutta (RK) solver w

Character-Region-Awareness-for-Text-Detection- https://arxiv.org/abs/1904.01941 Train You can train SynthText data use python source/train_SynthText.p

Deep GNN, Shallow Sampling Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Andrey Malevich, Rajgopal Kannan, Viktor Prasanna, Long Jin, R

News SRU++, a new SRU variant, is released. [tech report] [blog] The experimental code and SRU++ implementation are available on the dev branch which

README TabNet : Attentive Interpretable Tabular Learning This is a pyTorch implementation of Tabnet (Arik, S. O., & Pfister, T. (2019). TabNet: Attent

DialogBERT This is a PyTorch implementation of the DialogBERT model described in DialogBERT: Neural Response Generation via Hierarchical BERT with Dis