236 Repositories
Python active-speakers-context Libraries
: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 method to generate speech across multiple speakers
VoiceLoop PyTorch implementation of the method described in the paper VoiceLoop: Voice Fitting and Synthesis via a Phonological Loop. VoiceLoop is a n
Visual Tracking by TridenAlign and Context Embedding
Visual Tracking by TridentAlign and Context Embedding (TACT) Test code for "Visual Tracking by TridentAlign and Context Embedding" Janghoon Choi, Juns
Find and notify users in your Active Directory with weak passwords
Crack-O-Matic Find and notify users in your Active Directory with weak passwords. Features: Linux-based Flask-based web app Hashcat or John cracker Au
AHA is an incident management & communication framework to provide real-time alert customers when there are active AWS event(s). For customers with AWS Organizations, customers can get aggregated active account level events of all the accounts in the Organization. Customers not using AWS Organizations still benefit alerting at the account level.
Table of Contents Introduction Architecture Configuring an Endpoint Creating a Amazon Chime Webhook URL Creating a Slack Webhook URL Creating a Micros
Diffgram - Supervised Learning Data Platform
Data Annotation, Data Labeling, Annotation Tooling, Training Data for Machine Learning
Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation
Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation The code of: Context Decoupling Augmentation for Weakly Supervised Semanti
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
Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.
Trading Gym Trading Gym is an open-source project for the development of reinforcement learning algorithms in the context of trading. It is currently
Code for the Active Speakers in Context Paper (CVPR2020)
Active Speakers in Context This repo contains the official code and models for the "Active Speakers in Context" CVPR 2020 paper. Before Training The c
Implementation of the paper "Language-agnostic representation learning of source code from structure and context".
Code Transformer This is an official PyTorch implementation of the CodeTransformer model proposed in: D. Zügner, T. Kirschstein, M. Catasta, J. Leskov
Using approximate bayesian posteriors in deep nets for active learning
Bayesian Active Learning (BaaL) BaaL is an active learning library developed at ElementAI. This repository contains techniques and reusable components
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
Diverse Image Captioning with Context-Object Split Latent Spaces (NeurIPS 2020)
Diverse Image Captioning with Context-Object Split Latent Spaces This repository is the PyTorch implementation of the paper: Diverse Image Captioning
Run context-aware commands from your source code comments
Run context-aware commands from your source code comments. Codeline allows you to run custom commands directly from source-code comments, combining th
git git《Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking》(CVPR 2021) GitHub:git2] 《Masksembles for Uncertainty Estimation》(CVPR 2021) GitHub:git3]
Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking Ning Wang, Wengang Zhou, Jie Wang, and Houqiang Li Accepted by CVPR
Code for Multiple Instance Active Learning for Object Detection, CVPR 2021
MI-AOD Language: 简体中文 | English Introduction This is the code for Multiple Instance Active Learning for Object Detection (The PDF is not available tem
Repository for Scene Text Detection with Supervised Pyramid Context Network with tensorflow.
Scene-Text-Detection-with-SPCNET Unofficial repository for [Scene Text Detection with Supervised Pyramid Context Network][https://arxiv.org/abs/1811.0
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
Code for Multiple Instance Active Learning for Object Detection, CVPR 2021
Language: 简体中文 | English Introduction This is the code for Multiple Instance Active Learning for Object Detection, CVPR 2021. Installation A Linux pla
A modular active learning framework for Python
Modular Active Learning framework for Python3 Page contents Introduction Active learning from bird's-eye view modAL in action From zero to one in a fe
Middleware for Starlette that allows you to store and access the context data of a request. Can be used with logging so logs automatically use request headers such as x-request-id or x-correlation-id.
starlette context Middleware for Starlette that allows you to store and access the context data of a request. Can be used with logging so logs automat
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
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
This is the Vowpal Wabbit fast online learning code. Why Vowpal Wabbit? Vowpal Wabbit is a machine learning system which pushes the frontier of machin
Middleware for Starlette that allows you to store and access the context data of a request. Can be used with logging so logs automatically use request headers such as x-request-id or x-correlation-id.
starlette context Middleware for Starlette that allows you to store and access the context data of a request. Can be used with logging so logs automat
This repository is for active development of the Azure SDK for Python.
Azure SDK for Python This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public
A calendaring app for Django. It is now stable, Please feel free to use it now. Active development has been taken over by bartekgorny.
Django-schedule A calendaring/scheduling application, featuring: one-time and recurring events calendar exceptions (occurrences changed or cancelled)
Middleware for Starlette that allows you to store and access the context data of a request. Can be used with logging so logs automatically use request headers such as x-request-id or x-correlation-id.
starlette context Middleware for Starlette that allows you to store and access the context data of a request. Can be used with logging so logs automat
ArtEmis: Affective Language for Art
ArtEmis: Affective Language for Art Created by Panos Achlioptas, Maks Ovsjanikov, Kilichbek Haydarov, Mohamed Elhoseiny, Leonidas J. Guibas Introducti
A programming language built on top of Python to easily allow Swahili speakers to get started with programming without ever knowing English
pyswahili A programming language built over Python to easily allow swahili speakers to get started with programming without ever knowing english pyswa
: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
Official PyTorch implementation for paper Context Matters: Graph-based Self-supervised Representation Learning for Medical Images
Context Matters: Graph-based Self-supervised Representation Learning for Medical Images Official PyTorch implementation for paper Context Matters: Gra
This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/en-us/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.
Azure SDK for Python This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public
This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/en-us/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.
Azure SDK for Python This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public
A modular active learning framework for Python
Modular Active Learning framework for Python3 Page contents Introduction Active learning from bird's-eye view modAL in action From zero to one in a fe
A calendaring app for Django. It is now stable, Please feel free to use it now. Active development has been taken over by bartekgorny.
Django-schedule A calendaring/scheduling application, featuring: one-time and recurring events calendar exceptions (occurrences changed or cancelled)