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3d-iwgan

A repository for the paper "Improved Adversarial Systems for 3D Object Generation and Reconstruction".

ankermake-m5-profile

Base repo for AnkerMake M5 configurations for Cura and PrusaSlicer.

automated_ml

Infrastructure as Code: create AWS GPU powered instances to run ML models on Docker containers.

bomber_aiming

captcha_solver

Source code for ACM CCS 2018

carrefour_basket_data_challenge

chinalaw

请关注 https://github.com/cn

compose

A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning.

constitution

中华人民共和国宪法

cs_monitor_plugin

Web2py plugin to monitor the scheduler

deep-high-resolution-net.pytorch

The project is an official implement of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

diplomacy_cicero

Code for Cicero, an AI agent that plays the game of Diplomacy with open-domain natural language negotiation.

docvqa

Document Visual Question Answering

eaten

EATEN: Entity-aware Attention for Single Shot Visual Text Extraction

familia

A Toolkit for Industrial Topic Modeling

g-bert

Pre-training of Graph Augmented Transformers for Medication Recommendation

hairgans

The Networks for "Hair-GAN: Recovering 3D Hair Structure from a Single Image using Generative Adversarial Networks"

hairstyle-transfer

💇🏻‍♀️An end-to-end workflow for editing hair attributes on real faces

label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

label-studio-frontend

Data labeling react app that is backend agnostic and can be embedded into your applications — distributed as an NPM package

law

lineprof

Visualise line profiling results in R

mask_guided_portrait_editing

pytorch implementation of "Mask-Guided Portrait Editing with Conditional GANs"

muzero

A structured implementation of MuZero

ncov2019

Location for summaries and analysis of data related to n-CoV 2019, first reported in Wuhan, China

ncov_introduction

pick-pytorch

Code for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks" (ICPR 2020)

rhdf5

An unofficial fork of the R rhdf5 package developed by Bernd Fischer and Gregoire Pau. This fork is based on rhdf5 version 2.10.0

rhdf5_sage

Access HDF5 files from R. Based on a package originally authored by Sage Bionetworks.

science_rcn

Reference implementation of a two-level RCN model