679 Repositories
Python semantic-parser Libraries
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Documentation: https://mmsegmentation.readthedocs.io/ English | 简体中文 Introduction MMSegmentation is an open source semantic segmentation toolbox based
A semantic segmentation toolbox based on PyTorch
Introduction vedaseg is an open source semantic segmentation toolbox based on PyTorch. Features Modular Design We decompose the semantic segmentation
Sandbox for training deep learning networks
Deep learning networks This repo is used to research convolutional networks primarily for computer vision tasks. For this purpose, the repo contains (
PyTorch for Semantic Segmentation
PyTorch for Semantic Segmentation This repository contains some models for semantic segmentation and the pipeline of training and testing models, impl
The implementation of "Bootstrapping Semantic Segmentation with Regional Contrast".
ReCo - Regional Contrast This repository contains the source code of ReCo and baselines from the paper, Bootstrapping Semantic Segmentation with Regio
Semi-supervised Semantic Segmentation with Directional Context-aware Consistency (CVPR 2021)
Semi-supervised Semantic Segmentation with Directional Context-aware Consistency (CAC) Xin Lai*, Zhuotao Tian*, Li Jiang, Shu Liu, Hengshuang Zhao, Li
Python bindings to libpostal for fast international address parsing/normalization
pypostal These are the official Python bindings to https://github.com/openvenues/libpostal, a fast statistical parser/normalizer for street addresses
Implementation of CVPR'21: RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction
RfD-Net [Project Page] [Paper] [Video] RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction Yinyu Nie, Ji Hou, Xiaoguang Han, Matthi
Layout Parser is a deep learning based tool for document image layout analysis tasks.
A Python Library for Document Layout Understanding
Facial Action Unit Intensity Estimation via Semantic Correspondence Learning with Dynamic Graph Convolution
FAU Implementation of the paper: Facial Action Unit Intensity Estimation via Semantic Correspondence Learning with Dynamic Graph Convolution. Yingruo
[CVPR 2021] Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
[CVPR 2021] Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
Top2Vec is an algorithm for topic modeling and semantic search.
Top2Vec is an algorithm for topic modeling and semantic search. It automatically detects topics present in text and generates jointly embedded topic, document and word vectors.
A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image Domains (IJCV submission)
wsss-analysis The code of: A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image Domains, arXiv pre-print 2019 paper.
Code release for "Transferable Semantic Augmentation for Domain Adaptation" (CVPR 2021)
Transferable Semantic Augmentation for Domain Adaptation Code release for "Transferable Semantic Augmentation for Domain Adaptation" (CVPR 2021) Paper
Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images
SASSnet Code for paper: Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images(MICCAI 2020) Our code is origin from UA-MT You can fin
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation (CVPR 2021)
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation (CVPR 2021, official Pytorch implementatio
High-level batteries-included neural network training library for Pytorch
Pywick High-Level Training framework for Pytorch Pywick is a high-level Pytorch training framework that aims to get you up and running quickly with st
An easier way to build neural search on the cloud
An easier way to build neural search on the cloud Jina is a deep learning-powered search framework for building cross-/multi-modal search systems (e.g
Release of SPLASH: Dataset for semantic parse correction with natural language feedback in the context of text-to-SQL parsing
SPLASH: Semantic Parsing with Language Assistance from Humans SPLASH is dataset for the task of semantic parse correction with natural language feedba
Open Source research tool to search, browse, analyze and explore large document collections by Semantic Search Engine and Open Source Text Mining & Text Analytics platform (Integrates ETL for document processing, OCR for images & PDF, named entity recognition for persons, organizations & locations, metadata management by thesaurus & ontologies, search user interface & search apps for fulltext search, faceted search & knowledge graph)
Open Semantic Search https://opensemanticsearch.org Integrated search server, ETL framework for document processing (crawling, text extraction, text a
git《Commonsense Knowledge Base Completion with Structural and Semantic Context》(AAAI 2020) GitHub: [fig1]
Commonsense Knowledge Base Completion with Structural and Semantic Context Code for the paper Commonsense Knowledge Base Completion with Structural an
📔️ Generate a text-based journal from a template file.
JGen 📔️ Generate a text-based journal from a template file. Contents Getting Started Example Overview Usage Details Reserved Keywords Gotchas Getting
An official implementation of "SFNet: Learning Object-aware Semantic Correspondence" (CVPR 2019, TPAMI 2020) in PyTorch.
PyTorch implementation of SFNet This is the implementation of the paper "SFNet: Learning Object-aware Semantic Correspondence". For more information,
[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator
involution Official implementation of a neural operator as described in Involution: Inverting the Inherence of Convolution for Visual Recognition (CVP
Official code for "Parser-Free Virtual Try-on via Distilling Appearance Flows", CVPR 2021
Parser-Free Virtual Try-on via Distilling Appearance Flows, CVPR 2021 Official code for CVPR 2021 paper 'Parser-Free Virtual Try-on via Distilling App
A very simple framework for state-of-the-art Natural Language Processing (NLP)
A very simple framework for state-of-the-art NLP. Developed by Humboldt University of Berlin and friends. Flair is: A powerful NLP library. Flair allo
Python histogram library - histograms as updateable, fully semantic objects with visualization tools. [P]ython [HYST]ograms.
physt P(i/y)thon h(i/y)stograms. Inspired (and based on) numpy.histogram, but designed for humans(TM) on steroids(TM). The goal is to unify different
Gluon CV Toolkit
Gluon CV Toolkit | Installation | Documentation | Tutorials | GluonCV provides implementations of the state-of-the-art (SOTA) deep learning models in
Implementation of SETR model, Original paper: Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers.
SETR - Pytorch Since the original paper (Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers.) has no official
Python library for creating PEG parsers
PyParsing -- A Python Parsing Module Introduction The pyparsing module is an alternative approach to creating and executing simple grammars, vs. the t
:snake: Complete C99 parser in pure Python
pycparser v2.20 Contents 1 Introduction 1.1 What is pycparser? 1.2 What is it good for? 1.3 Which version of C does pycparser support? 1.4 What gramma
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals.
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals This repo contains the Pytorch implementation of our paper: Unsupervised Seman
Transfer SemanticKITTI labeles into other dataset/sensor formats.
LiDAR-Transfer Transfer SemanticKITTI labeles into other dataset/sensor formats. Content Convert datasets (NUSCENES, FORD, NCLT) to KITTI format Minim
Stand-alone parser for User Access Logging from Server 2012 and newer systems
KStrike Stand-alone parser for User Access Logging from Server 2012 and newer systems BriMor Labs KStrike This script will parse data from the User Ac
Knowledge Management for Humans using Machine Learning & Tags
HyperTag HyperTag helps humans intuitively express how they think about their files using tags and machine learning.
Puzzle-CAM: Improved localization via matching partial and full features.
Puzzle-CAM The official implementation of "Puzzle-CAM: Improved localization via matching partial and full features".
Knowledge Management for Humans using Machine Learning & Tags
HyperTag helps humans intuitively express how they think about their files using tags and machine learning. Represent how you think using tags. Find what you look for using semantic search for your text documents (yes, even PDF's) and images.
Snips Python library to extract meaning from text
Snips NLU Snips NLU (Natural Language Understanding) is a Python library that allows to extract structured information from sentences written in natur
:mag: End-to-End Framework for building natural language search interfaces to data by utilizing Transformers and the State-of-the-Art of NLP. Supporting DPR, Elasticsearch, HuggingFace’s Modelhub and much more!
Haystack is an end-to-end framework that enables you to build powerful and production-ready pipelines for different search use cases. Whether you want
An easier way to build neural search on the cloud
An easier way to build neural search on the cloud Jina is a deep learning-powered search framework for building cross-/multi-modal search systems (e.g
A very simple framework for state-of-the-art Natural Language Processing (NLP)
A very simple framework for state-of-the-art NLP. Developed by Humboldt University of Berlin and friends. IMPORTANT: (30.08.2020) We moved our models
Official implementation of the ICLR 2021 paper
You Only Need Adversarial Supervision for Semantic Image Synthesis Official PyTorch implementation of the ICLR 2021 paper "You Only Need Adversarial S
Exploring Cross-Image Pixel Contrast for Semantic Segmentation
Exploring Cross-Image Pixel Contrast for Semantic Segmentation Exploring Cross-Image Pixel Contrast for Semantic Segmentation, Wenguan Wang, Tianfei Z
GAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training
GAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training Code and model from our AAAI 2021 paper
Snips Python library to extract meaning from text
Snips NLU Snips NLU (Natural Language Understanding) is a Python library that allows to extract structured information from sentences written in natur
:mag: Transformers at scale for question answering & neural search. Using NLP via a modular Retriever-Reader-Pipeline. Supporting DPR, Elasticsearch, HuggingFace's Modelhub...
Haystack is an end-to-end framework for Question Answering & Neural search that enables you to ... ... ask questions in natural language and find gran
An easier way to build neural search on the cloud
An easier way to build neural search on the cloud Jina is a deep learning-powered search framework for building cross-/multi-modal search systems (e.g
A very simple framework for state-of-the-art Natural Language Processing (NLP)
A very simple framework for state-of-the-art NLP. Developed by Humboldt University of Berlin and friends. IMPORTANT: (30.08.2020) We moved our models
A Python Parser
parso - A Python Parser Parso is a Python parser that supports error recovery and round-trip parsing for different Python versions (in multiple Python
Pythonic command line arguments parser, that will make you smile
docopt creates beautiful command-line interfaces Video introduction to docopt: PyCon UK 2012: Create *beautiful* command-line interfaces with Python N
ISO 8601 date/time parser
ISO 8601 date/time parser This module implements ISO 8601 date, time and duration parsing. The implementation follows ISO8601:2004 standard, and imple
python parser for human readable dates
Python parser for human readable dates Key Features • How To Use • Installation • Common use cases • You may also like... • License Key Features Suppo
Type-safe YAML parser and validator.
StrictYAML StrictYAML is a type-safe YAML parser that parses and validates a restricted subset of the YAML specification. Priorities: Beautiful API Re
Python wrapper around rapidjson
python-rapidjson Python wrapper around RapidJSON Authors: Ken Robbins [email protected] Lele Gaifax [email protected] License: MIT License Sta
simplejson is a simple, fast, extensible JSON encoder/decoder for Python
simplejson simplejson is a simple, fast, complete, correct and extensible JSON http://json.org encoder and decoder for Python 3.3+ with legacy suppo
FlatBuffers: Memory Efficient Serialization Library
FlatBuffers FlatBuffers is a cross platform serialization library architected for maximum memory efficiency. It allows you to directly access serializ
Extract embedded metadata from HTML markup
extruct extruct is a library for extracting embedded metadata from HTML markup. Currently, extruct supports: W3C's HTML Microdata embedded JSON-LD Mic
IMDbPY is a Python package useful to retrieve and manage the data of the IMDb movie database about movies, people, characters and companies
IMDbPY is a Python package for retrieving and managing the data of the IMDb movie database about movies, people and companies. Revamp notice Starting
A fast, extensible and spec-compliant Markdown parser in pure Python.
mistletoe mistletoe is a Markdown parser in pure Python, designed to be fast, spec-compliant and fully customizable. Apart from being the fastest Comm
Markdown parser, done right. 100% CommonMark support, extensions, syntax plugins & high speed. Now in Python!
markdown-it-py Markdown parser done right. Follows the CommonMark spec for baseline parsing Configurable syntax: you can add new rules and even replac
Awesome Django Markdown Editor, supported for Bootstrap & Semantic-UI
martor Martor is a Markdown Editor plugin for Django, supported for Bootstrap & Semantic-UI. Features Live Preview Integrated with Ace Editor Supporte
Convert HTML to Markdown-formatted text.
html2text html2text is a Python script that converts a page of HTML into clean, easy-to-read plain ASCII text. Better yet, that ASCII also happens to
A Python implementation of John Gruber’s Markdown with Extension support.
Python-Markdown This is a Python implementation of John Gruber's Markdown. It is almost completely compliant with the reference implementation, though
Python binding to Modest engine (fast HTML5 parser with CSS selectors).
A fast HTML5 parser with CSS selectors using Modest engine. Installation From PyPI using pip: pip install selectolax Development version from github:
HTTP request/response parser for python in C
http-parser HTTP request/response parser for Python compatible with Python 2.x (=2.7), Python 3 and Pypy. If possible a C parser based on http-parser
Fast HTTP parser
httptools is a Python binding for the nodejs HTTP parser. The package is available on PyPI: pip install httptools. APIs httptools contains two classes
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
Segmentation Transformer Implementation of Segmentation Transformer in PyTorch, a new model to achieve SOTA in semantic segmentation while using trans
:hot_pepper: R²SQL: "Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing." (AAAI 2021)
R²SQL The PyTorch implementation of paper Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing. (AAAI 2021) Requirement
A non-validating SQL parser module for Python
python-sqlparse - Parse SQL statements sqlparse is a non-validating SQL parser for Python. It provides support for parsing, splitting and formatting S
A simple Python module for parsing human names into their individual components
Name Parser A simple Python (3.2+ & 2.6+) module for parsing human names into their individual components. hn.title hn.first hn.middle hn.last hn.suff
Python library for creating PEG parsers
PyParsing -- A Python Parsing Module Introduction The pyparsing module is an alternative approach to creating and executing simple grammars, vs. the t
Convert HTML to Markdown-formatted text.
html2text html2text is a Python script that converts a page of HTML into clean, easy-to-read plain ASCII text. Better yet, that ASCII also happens to
A Python implementation of John Gruber’s Markdown with Extension support.
Python-Markdown This is a Python implementation of John Gruber's Markdown. It is almost completely compliant with the reference implementation, though
A fast yet powerful Python Markdown parser with renderers and plugins.
Mistune v2 A fast yet powerful Python Markdown parser with renderers and plugins. NOTE: This is the re-designed v2 of mistune. Check v1 branch for ear
Python wrapper around rapidjson
python-rapidjson Python wrapper around RapidJSON Authors: Ken Robbins [email protected] Lele Gaifax [email protected] License: MIT License Sta
Snips Python library to extract meaning from text
Snips NLU Snips NLU (Natural Language Understanding) is a Python library that allows to extract structured information from sentences written in natur
A python wrapper around the ZPar parser for English.
NOTE This project is no longer under active development since there are now really nice pure Python parsers such as Stanza and Spacy. The repository w
Python bindings to the dutch NLP tool Frog (pos tagger, lemmatiser, NER tagger, morphological analysis, shallow parser, dependency parser)
Frog for Python This is a Python binding to the Natural Language Processing suite Frog. Frog is intended for Dutch and performs part-of-speech tagging
A code-completion engine for Vim
YouCompleteMe: a code-completion engine for Vim NOTE: Minimum Requirements Have Changed Our policy is to support the Vim version that's in the latest