1134 Repositories
Python multi-database Libraries
Official code of IterMVS
IterMVS official source code of paper 'IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo' Introduction IterMVS is a novel lear
Python3 library that can retrieve Chrome-based browser's saved login info.
Passax EDUCATIONAL PURPOSES ONLY Python3 library that can retrieve Chrome-based browser's saved login info. Requirements secretstorage~=3.3.1 pywin32=
A wrapper for The Movie Database API v3 and v4 that only uses the read access token (not api key).
fulltmdb A wrapper for The Movie Database API v3 and v4 that only uses the read access token (not api key). Installation Use the package manager pip t
Official source code of paper 'IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo'
IterMVS official source code of paper 'IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo' Introduction IterMVS is a novel lear
🔥 Campus-Run Django Server🔥
🏫 Campus-Run Campus-Run is a 3D racing game set on a college campus. Designed this service to comfort university students who are unable to visit the
Live tracking, flight database and competition framework
SkyLines SkyLines is a web platform where pilots can share their flights with others after, or even during flight via live tracking. SkyLines is a sor
Dynamic, database-driven Django forms
Django Dataforms django-dataforms is a wrapper for the Django forms API that lets you dynamically define forms in a database, rather than hard-coding
Sample python script for monitoring Rocketchat database and get statistics of users.
rocketchat-DB-monitoring Sample python script for monitoring Rocketchat database and get statistics of users. 1. Update python: yum check-update && yu
A concise but complete implementation of CLIP with various experimental improvements from recent papers
x-clip (wip) A concise but complete implementation of CLIP with various experimental improvements from recent papers Install $ pip install x-clip Usag
A concise but complete implementation of CLIP with various experimental improvements from recent papers
x-clip (wip) A concise but complete implementation of CLIP with various experimental improvements from recent papers Install $ pip install x-clip Usag
Training code for Korean multi-class sentiment analysis
KoSentimentAnalysis Bert implementation for the Korean multi-class sentiment analysis 왜 한국어 감정 다중분류 모델은 거의 없는 것일까?에서 시작된 프로젝트 Environment: Pytorch, Da
Easy and secure implementation of Azure AD for your FastAPI APIs 🔒 Single- and multi-tenant support.
Easy and secure implementation of Azure AD for your FastAPI APIs 🔒 Single- and multi-tenant support.
Python implementation of ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images, AAAI2022.
ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images Binh M. Le & Simon S. Woo, "ADD:
YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone
YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone In our recent paper we propose the YourTTS model. YourTTS bri
Extracts data from the database for a graph-node and stores it in parquet files
subgraph-extractor Extracts data from the database for a graph-node and stores it in parquet files Installation For developing, it's recommended to us
NewsMTSC: (Multi-)Target-dependent Sentiment Classification in News Articles
NewsMTSC: (Multi-)Target-dependent Sentiment Classification in News Articles NewsMTSC is a dataset for target-dependent sentiment classification (TSC)
A database scraper created with mechanical soup and sqlite
WebscrapingDatabases a database scraper created with mechanical soup and sqlite author: Mariya Sha Watch on YouTube: This repository was created to su
Multi-Person Extreme Motion Prediction
Multi-Person Extreme Motion Prediction Implementation for paper Wen Guo, Xiaoyu Bie, Xavier Alameda-Pineda, Francesc Moreno-Noguer, Multi-Person Extre
WhatsApp Multi Device Client
WhatsApp Multi Device Client
Self-adjusting, auto-compounding multi-pair DCA crypto trading bot using Python, AWS Lambda & 3Commas API
Self-adjusting, auto-compounding multi-pair DCA crypto trading bot using Python, AWS Lambda & 3Commas API The following code describes how we can leve
This repo provides function call to track multi-objects in videos
Custom Object Tracking Introduction This repo provides function call to track multi-objects in videos with a given trained object detection model and
Multi-agent reinforcement learning algorithm and environment
Multi-agent reinforcement learning algorithm and environment [en/cn] Pytorch implements multi-agent reinforcement learning algorithms including IQL, Q
PyTorch implementation of MICCAI 2018 paper "Liver Lesion Detection from Weakly-labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox Detector"
Grouped SSD (GSSD) for liver lesion detection from multi-phase CT Note: the MICCAI 2018 paper only covers the multi-phase lesion detection part of thi
Official PyTorch implementation of our AAAI22 paper: TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework via Self-Supervised Multi-Task Learning. Code will be available soon.
Official-PyTorch-Implementation-of-TransMEF Official PyTorch implementation of our AAAI22 paper: TransMEF: A Transformer-Based Multi-Exposure Image Fu
OpenDILab Multi-Agent Environment
Go-Bigger: Multi-Agent Decision Intelligence Environment GoBigger Doc (中文版) Ongoing 2021.11.13 We are holding a competition —— Go-Bigger: Multi-Agent
Tsunami-Fi is simple multi-tool bash application for Wi-Fi attacks
🪴 Tsunami-Fi 🪴 Русская версия README 🌿 Description 🌿 Tsunami-Fi is simple multi-tool bash application for Wi-Fi WPS PixieDust and NullPIN attack,
Multi-purpose bot made with discord.py
PizzaHat Discord Bot A multi-purpose bot for your server! ℹ️ • Info PizzaHat is a multi-purpose bot, made to satisfy your needs, as well as your serve
ROMP: Monocular, One-stage, Regression of Multiple 3D People, ICCV21
Monocular, One-stage, Regression of Multiple 3D People ROMP, accepted by ICCV 2021, is a concise one-stage network for multi-person 3D mesh recovery f
MyReplitDB - the most simplistic and easiest wrapper to use for replit's database system.
MyReplitDB is the most simplistic and easiest wrapper to use for replit's database system. Installing You can install it from the PyPI Or y
Implementation of "Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency"
Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency (ICCV2021) Paper Link: https://arxiv.org/abs/2107.11355 This implementation bui
Makes google's political ad database actually useful
Making Google's political ad transparency library suck less This is a series of scripts that takes Google's political ad transparency data and makes t
Fuck - Multi Brute Force 🚶♂
f-mbf Fuck - Multi Brute Force 🚶♂ Install Script $ pkg update && pkg upgrade $ pkg install python2 $ pkg install git $ pip2 install requests $ pip2
Multi-Process / Censorship Detection
Multi-Process / Censorship Detection
Convenient script for trading with python.
Convenient script for trading with python.
MAME is a multi-purpose emulation framework.
MAME's purpose is to preserve decades of software history. As electronic technology continues to rush forward, MAME prevents this important "vintage" software from being lost and forgotten.
Multi-user server for Jupyter notebooks
Technical Overview | Installation | Configuration | Docker | Contributing | License | Help and Resources Please note that this repository is participa
Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization (ACL 2021)
Structured Super Lottery Tickets in BERT This repo contains our codes for the paper "Super Tickets in Pre-Trained Language Models: From Model Compress
Multi-Task Deep Neural Networks for Natural Language Understanding
New Release We released Adversarial training for both LM pre-training/finetuning and f-divergence. Large-scale Adversarial training for LMs: ALUM code
Codes for our paper The Stem Cell Hypothesis: Dilemma behind Multi-Task Learning with Transformer Encoders published to EMNLP 2021.
The Stem Cell Hypothesis Codes for our paper The Stem Cell Hypothesis: Dilemma behind Multi-Task Learning with Transformer Encoders published to EMNLP
PyTorch implementation of the ACL, 2021 paper Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks.
Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks This repo contains the PyTorch implementation of the ACL, 2021 pa
Pytorch implementation of Bert and Pals: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning
PyTorch implementation of BERT and PALs Introduction Work by Asa Cooper Stickland and Iain Murray, University of Edinburgh. Code for BERT and PALs; mo
Cooperative Driving Dataset: a dataset for multi-agent driving scenarios
Cooperative Driving Dataset (CODD) The Cooperative Driving dataset is a synthetic dataset generated using CARLA that contains lidar data from multiple
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Website • Docs • Twitter • Join Slack Community What is Label Studio? Label Studio is an open source data labeling tool. It lets you label data types
Multi-path load balancing is a method used by most of the real-time network to split the packets into different paths rather than transferring it through a single path
Multipath-Load-Balancing Method of managing incoming traffic by distributing and sharing load fairly among multiple routes from source to destination
A simple image-level annotation tool supporting multi-channel images for napari.
napari-labelimg4classification A simple image-level annotation tool supporting multi-channel images for napari. This napari plugin was generated with
Offical implementation of Shunted Self-Attention via Multi-Scale Token Aggregation
Shunted Transformer This is the offical implementation of Shunted Self-Attention via Multi-Scale Token Aggregation by Sucheng Ren, Daquan Zhou, Shengf
Multi-Template Mouse Brain MRI Atlas (MBMA): both in-vivo and ex-vivo
Multi-template MRI mouse brain atlas (both in vivo and ex vivo) Mouse Brain MRI atlas (both in-vivo and ex-vivo) (repository relocated from the origin
Code for Estimating Multi-cause Treatment Effects via Single-cause Perturbation (NeurIPS 2021)
Estimating Multi-cause Treatment Effects via Single-cause Perturbation (NeurIPS 2021) Single-cause Perturbation (SCP) is a framework to estimate the m
This is the code repository for the paper "Identification of the Generalized Condorcet Winner in Multi-dueling Bandits" (NeurIPS 2021).
Code Repository for the Paper "Identification of the Generalized Condorcet Winner in Multi-dueling Bandits" (To appear in: Proceedings of NeurIPS20
Scalable Multi-Agent Reinforcement Learning
Scalable Multi-Agent Reinforcement Learning 1. Featured algorithms: Value Function Factorization with Variable Agent Sub-Teams (VAST) [1] 2. Implement
Sample Code for "Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RL"
Sample Code for "Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RL" This is the official codebase for Pessimism Meets I
Code for 2021 NeurIPS --- Towards Multi-Grained Explainability for Graph Neural Networks
ReFine: Multi-Grained Explainability for GNNs We are trying hard to update the code, but it may take a while to complete due to our tight schedule rec
This repository is an implementation of our NeurIPS 2021 paper (Stylized Dialogue Generation with Multi-Pass Dual Learning) in PyTorch.
MPDL---TODO This repository is an implementation of our NeurIPS 2021 paper (Stylized Dialogue Generation with Multi-Pass Dual Learning) in PyTorch. Ci
This is the repository of the NeurIPS 2021 paper "Curriculum Disentangled Recommendation withNoisy Multi-feedback"
Curriculum_disentangled_recommendation This is the repository of the NeurIPS 2021 paper "Curriculum Disentangled Recommendation with Noisy Multi-feedb
A paper list of pre-trained language models (PLMs).
Large-scale pre-trained language models (PLMs) such as BERT and GPT have achieved great success and become a milestone in NLP.
This repo holds custom callback plugin, so your Ansible could write everything in the PostgreSQL database.
English What is it? This is callback plugin that dumps most of the Ansible internal state to the external PostgreSQL database. What is this for? If yo
A multi-platform HTTP(S) Reverse Shell Server and Client in Python 3
Phantom - A multi-platform HTTP(S) Reverse Shell Server and Client Phantom is a multi-platform HTTP(S) Reverse Shell server and client in Python 3. Bi
Implement the Pareto Optimizer and pcgrad to make a self-adaptive loss for multi-task
multi-task_losses_optimizer Implement the Pareto Optimizer and pcgrad to make a self-adaptive loss for multi-task 已经实验过了,不会有cuda out of memory情况 ##Par
Combines MLflow with a database (PostgreSQL) and a reverse proxy (NGINX) into a multi-container Docker application
Combines MLflow with a database (PostgreSQL) and a reverse proxy (NGINX) into a multi-container Docker application (with docker-compose).
New time-based UUID formats which are suited for use as a database key
uuid6 New time-based UUID formats which are suited for use as a database key. This module extends immutable UUID objects (the UUID class) with the fun
WiFi-based Multi-task Sensing
WiFi-based Multi-task Sensing Introduction WiFi-based sensing has aroused immense attention as numerous studies have made significant advances over re
A Benchmark For Measuring Systematic Generalization of Multi-Hierarchical Reasoning
Orchard Dataset This repository contains the code used for generating the Orchard Dataset, as seen in the Multi-Hierarchical Reasoning in Sequences: S
Cross-Task Consistency Learning Framework for Multi-Task Learning
Cross-Task Consistency Learning Framework for Multi-Task Learning Tested on numpy(v1.19.1) opencv-python(v4.4.0.42) torch(v1.7.0) torchvision(v0.8.0)
A benchmark dataset for mesh multi-label-classification based on cube engravings introduced in MeshCNN
Double Cube Engravings This script creates a dataset for multi-label mesh clasification, with an intentionally difficult setup for point cloud classif
A multi-scale unsupervised learning for deformable image registration
A multi-scale unsupervised learning for deformable image registration Shuwei Shao, Zhongcai Pei, Weihai Chen, Wentao Zhu, Xingming Wu and Baochang Zha
IMBENS: class-imbalanced ensemble learning in Python.
IMBENS: class-imbalanced ensemble learning in Python. Links: [Documentation] [Gallery] [PyPI] [Changelog] [Source] [Download] [知乎/Zhihu] [中文README] [a
ContourletNet: A Generalized Rain Removal Architecture Using Multi-Direction Hierarchical Representation
ContourletNet: A Generalized Rain Removal Architecture Using Multi-Direction Hierarchical Representation (Accepted by BMVC'21) Abstract: Images acquir
Our implementation used for the MICCAI 2021 FLARE Challenge titled 'Efficient Multi-Organ Segmentation Using SpatialConfiguartion-Net with Low GPU Memory Requirements'.
Efficient Multi-Organ Segmentation Using SpatialConfiguartion-Net with Low GPU Memory Requirements Our implementation used for the MICCAI 2021 FLARE C
PyTorch implementation of CDistNet: Perceiving Multi-Domain Character Distance for Robust Text Recognition
PyTorch implementation of CDistNet: Perceiving Multi-Domain Character Distance for Robust Text Recognition The unofficial code of CDistNet. Now, we ha
Databank is an easy-to-use Python library for making raw SQL queries in a multi-threaded environment.
Databank Databank is an easy-to-use Python library for making raw SQL queries in a multi-threaded environment. No ORM, no frills. Thread-safe. Only ra
ZELDA USERBOT adalah userbot Telegram modular yang berjalan di Python3 dengan database sqlalchemy.
ZELDA USERBOT TELEGRAM Userbot Yang Di Buat Karena Sering Gabut Di Telegram. ZELDA USERBOT adalah userbot Telegram modular yang berjalan di Python3 de
E-Commerce recommender demo with real-time data and a graph database
🔍 E-Commerce recommender demo 🔍 This is a simple stream setup that uses Memgraph to ingest real-time data from a simulated online store. Data is str
A telegram bot for which is help to play songs in vc 🥰 give 🌟 and fork this repo before use 😏
TamilVcMusic 🌟 TamilVCMusicBot 🌟 Give your 💙 Before clicking on deploy to heroku just click on fork and star just below How to deploy Click the bel
Large scale and asynchronous Hyperparameter Optimization at your fingertip.
Syne Tune This package provides state-of-the-art distributed hyperparameter optimizers (HPO) where trials can be evaluated with several backend option
A database-based CDN node supporting PostgreSQL and MongoDB backends.
A simple to use database-based deployable CDN node for hobbyist developers who wish to have their own CDN!
Multi-view 3D reconstruction using neural rendering. Unofficial implementation of UNISURF, VolSDF, NeuS and more.
Volume rendering + 3D implicit surface Showcase What? previous: surface rendering; now: volume rendering previous: NeRF's volume density; now: implici
We are building an open database of COVID-19 cases with chest X-ray or CT images.
🛑 Note: please do not claim diagnostic performance of a model without a clinical study! This is not a kaggle competition dataset. Please read this pa
A multi-tenant multi-client scalable product categorising demo stack
Better Categories 4All: A multi-tenant multi-client product categorising stack The steps to reproduce training and inference are in the end of this fi
Sequence clustering and database creation using mmseqs, from local fasta files
Sequence clustering and database creation using mmseqs, from local fasta files
Multi Agent Reinforcement Learning for ROS in 2D Simulation Environments
IROS21 information To test the code and reproduce the experiments, follow the installation steps in Installation.md. Afterwards, follow the steps in E
Code for database and frontend of webpage for Neural Fields in Visual Computing and Beyond.
Neural Fields in Visual Computing—Complementary Webpage This is based on the amazing MiniConf project from Hendrik Strobelt and Sasha Rush—thank you!
mPose3D, a mmWave-based 3D human pose estimation model.
mPose3D, a mmWave-based 3D human pose estimation model.
Course material for the Multi-agents and computer graphics course
TC2008B Course material for the Multi-agents and computer graphics course. Setup instructions Strongly recommend using a custom conda environment. Ins
Multi-modal co-attention for drug-target interaction annotation and Its Application to SARS-CoV-2
CoaDTI Multi-modal co-attention for drug-target interaction annotation and Its Application to SARS-CoV-2 Abstract Environment The test was conducted i
Towards Multi-Camera 3D Human Pose Estimation in Wild Environment
PanopticStudio Toolbox This repository has a toolbox to download, process, and visualize the Panoptic Studio (Panoptic) data. Note: Sep-21-2020: Curre
PowerGridworld: A Framework for Multi-Agent Reinforcement Learning in Power Systems
PowerGridworld provides users with a lightweight, modular, and customizable framework for creating power-systems-focused, multi-agent Gym environments that readily integrate with existing training frameworks for reinforcement learning (RL).
Source files for the data lake demo video using the AWS TICKIT database
Data Lake Demo Source code for video demonstration detailed in the post, Building a Simple Data Lake on AWS . Build a simple data lake on AWS using a
Multi-Agent Reinforcement Learning (MARL) method to learn scalable control polices for multi-agent target tracking.
scalableMARL Scalable Reinforcement Learning Policies for Multi-Agent Control CD. Hsu, H. Jeong, GJ. Pappas, P. Chaudhari. "Scalable Reinforcement Lea
Efficient semidefinite bounds for multi-label discrete graphical models.
Low rank solvers #################################### benchmark/ : folder with the random instances used in the paper. ############################
A modular Telegram Python bot running on python3 with a sqlalchemy database.
Nao Tomori Robot Found Me On Telegram As Nao Tomori 🌼 A modular Telegram Python bot running on python3 with a sqlalchemy database. How to setup/deplo
A Discord Token Spammer, multi webhooks compatibility, made in python +3.7. By Ezermoz
DiscordWebhookSpammer A Discord Token Spammer, multi webhooks compatibility, made in python +3.7. By Ezermoz Put you webhook in webhooks.txt if you wa
OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
English | 简体中文 Documentation: https://mmtracking.readthedocs.io/ Introduction MMTracking is an open source video perception toolbox based on PyTorch.
Optimized primitives for collective multi-GPU communication
NCCL Optimized primitives for inter-GPU communication. Introduction NCCL (pronounced "Nickel") is a stand-alone library of standard communication rout
MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation
MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation This repo is the official implementation of "MHFormer: Multi-Hypothesis Transforme
The project is associated with the recently-launched ICASSP 2022 Multi-channel Multi-party Meeting Transcription Challenge (M2MeT) to provide participants with baseline systems for speech recognition and speaker diarization in conference scenario.
M2MeT challenge baseline -- AliMeeting This project provides the baseline system recipes for the ICASSP 2020 Multi-channel Multi-party Meeting Transcr
Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning
MSVCL_MICCAI2021 Installation Please follow the instruction in pytorch-CycleGAN-and-pix2pix to install. Example Usage An example of vendor-styles tran
Official Implementation of "Tracking Grow-Finish Pigs Across Large Pens Using Multiple Cameras"
Multi Camera Pig Tracking Official Implementation of Tracking Grow-Finish Pigs Across Large Pens Using Multiple Cameras CVPR2021 CV4Animals Workshop P
Implementation of MA-Trace - a general-purpose multi-agent RL algorithm for cooperative environments.
Off-Policy Correction For Multi-Agent Reinforcement Learning This repository is the official implementation of Off-Policy Correction For Multi-Agent R
MCML is a toolkit for semi-supervised dimensionality reduction and quantitative analysis of Multi-Class, Multi-Label data
MCML is a toolkit for semi-supervised dimensionality reduction and quantitative analysis of Multi-Class, Multi-Label data. We demonstrate its use
COLMAP - Structure-from-Motion and Multi-View Stereo
COLMAP About COLMAP is a general-purpose Structure-from-Motion (SfM) and Multi-View Stereo (MVS) pipeline with a graphical and command-line interface.