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curiousme-lab's Projects

ace-in-gf icon ace-in-gf

Attempto Controlled English (http://attempto.ifi.uzh.ch/) in Grammatical Framework (https://www.grammaticalframework.org/)

acronym icon acronym

This repository contains a sample of the grasping dataset and tools to visualize grasps, generate random scenes, and render observations. The two sample files are in the HDF5 format.

adgan icon adgan

The Implementation of paper "Controllable Person Image Synthesis with Attribute-Decomposed GAN" CVPR 2020 (Oral); Pose and Appearance Attributes Transfer;

all-about-rss icon all-about-rss

A list of RSS related stuff: tools, services, communities and tutorials, etc.

ape icon ape

Parser for Attempto Controlled English (ACE)

archivebox icon archivebox

🗃 Open source self-hosted web archiving. Takes URLs/browser history/bookmarks/Pocket/Pinboard/etc., saves HTML, JS, PDFs, media, and more...

asap icon asap

ASAP : Automated Single-cell Analysis Pipeline

asmnet icon asmnet

a Lightweight Deep Neural Network for Face Alignment and Pose Estimation

autoextractor icon autoextractor

A toolkit for clustering web pages based on various similarity measures.

awesome-rl-nlp icon awesome-rl-nlp

Curated Reinforcement Learning Resources for Natural Language Processing

awesome-rss-feeds icon awesome-rss-feeds

Awesome RSS feeds - A curated list of RSS feeds (and OPML files) used in Recommended Feeds and local news sections of Plenary - an RSS reader, article downloader and a podcast player app for android

awesome-virtual-try-on icon awesome-virtual-try-on

A curated list of awesome research papers, projects, code, dataset, workshops etc. related to virtual try-on.

awroc_calculation icon awroc_calculation

[Master Thesis 2017] Scripts for calculating metrics to assess performance of a drug design software.

axcell icon axcell

Tools for extracting tables and results from Machine Learning papers

bertopic icon bertopic

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

newsrecommendsystem icon newsrecommendsystem

个性化新闻推荐系统,A news recommendation system involving collaborative filtering,content-based recommendation and hot news recommendation, can be adapted easily to be put into use in other circumstances.

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