498 Repositories
Python out-of-domain Libraries
Pixoo-Awesome is a tool to get more out of your Pixoo Devices.
Pixoo-Awesome is a tool to get more out of your Pixoo Devices. It uses the Pixoo-Client to connect to your Pixoo devices and send data to them. I targ
Pytorch Implementation of the paper "Cross-domain Correspondence Learning for Exemplar-based Image Translation"
CoCosNet Pytorch Implementation of the paper "Cross-domain Correspondence Learning for Exemplar-based Image Translation" (CVPR 2020 oral). Update: 202
MT-GAN-PyTorch - PyTorch Implementation of Learning to Transfer: Unsupervised Domain Translation via Meta-Learning
MT-GAN-PyTorch PyTorch Implementation of AAAI-2020 Paper "Learning to Transfer: Unsupervised Domain Translation via Meta-Learning" Dependency: Python
PuppetGAN - Cross-Domain Feature Disentanglement and Manipulation just got way better! 🚀
Better Cross-Domain Feature Disentanglement and Manipulation with Improved PuppetGAN Quite cool... Right? Introduction This repo contains a TensorFlow
PyTorch Implementation of Exploring Explicit Domain Supervision for Latent Space Disentanglement in Unpaired Image-to-Image Translation.
DosGAN-PyTorch PyTorch Implementation of Exploring Explicit Domain Supervision for Latent Space Disentanglement in Unpaired Image-to-Image Translation
MDMM - Learning multi-domain multi-modality I2I translation
Multi-Domain Multi-Modality I2I translation Pytorch implementation of multi-modality I2I translation for multi-domains. The project is an extension to
AsymmetricGAN - Dual Generator Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
AsymmetricGAN for Image-to-Image Translation AsymmetricGAN Framework for Multi-Domain Image-to-Image Translation AsymmetricGAN Framework for Hand Gest
AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation
AttentionGAN-v2 for Unpaired Image-to-Image Translation AttentionGAN-v2 Framework The proposed generator learns both foreground and background attenti
TensorFlow Implementation of Unsupervised Cross-Domain Image Generation
Domain Transfer Network (DTN) TensorFlow implementation of Unsupervised Cross-Domain Image Generation. Requirements Python 2.7 TensorFlow 0.12 Pickle
Orbivator AI - To Determine which features of data (measurements) are most important for diagnosing breast cancer and find out if breast cancer occurs or not.
Orbivator_AI Breast Cancer Wisconsin (Diagnostic) GOAL To Determine which features of data (measurements) are most important for diagnosing breast can
Generating .npy dataset and labels out of given image, containing numbers from 0 to 9, using opencv
basic-dataset-generator-from-image-of-numbers generating .npy dataset and labels out of given image, containing numbers from 0 to 9, using opencv inpu
Run CodeServer on Google Colab using Inlets in less than 60 secs using your own domain.
Inlets Colab Run CodeServer on Colab using Inlets in less than 60 secs using your own domain. Features Optimized for Inlets/InletsPro Use your own Cus
Input an antlr grammar and file for python to test it out
py-antlr-input Input an ANTLR grammar and test file for python to render a parser tree of the file. This program will make use of the grun command tha
An Official Repo of CVPR '20 "MSeg: A Composite Dataset for Multi-Domain Segmentation"
This is the code for the paper: MSeg: A Composite Dataset for Multi-domain Semantic Segmentation (CVPR 2020, Official Repo) [CVPR PDF] [Journal PDF] J
Out-of-Distribution Generalization of Chest X-ray Using Risk Extrapolation
OoD_Gen-Chest_Xray Out-of-Distribution Generalization of Chest X-ray Using Risk Extrapolation Requirements (Installations) Install the following libra
Pytorch implementation of the AAAI 2022 paper "Cross-Domain Empirical Risk Minimization for Unbiased Long-tailed Classification"
[AAAI22] Cross-Domain Empirical Risk Minimization for Unbiased Long-tailed Classification We point out the overlooked unbiasedness in long-tailed clas
Adversarial Graph Representation Adaptation for Cross-Domain Facial Expression Recognition (AGRA, ACM 2020, Oral)
Cross Domain Facial Expression Recognition Benchmark Implementation of papers: Cross-Domain Facial Expression Recognition: A Unified Evaluation Benchm
A fast sub domain brute tool for pentesters
subDomainsBrute 1.4 A fast sub domain brute tool for pentesters. It works with P
How to Learn a Domain Adaptive Event Simulator? ACM MM, 2021
LETGAN How to Learn a Domain Adaptive Event Simulator? ACM MM 2021 Running Environment: pytorch=1.4, 1 NVIDIA-1080TI. More details can be found in pap
Out-of-box Python RPC framework
typed-jsonrpc Out-of-box Python RPC framework. WIP. Make LSP easy for everyone. The conception of final usage: from typed_jsonrpc import * ls = Langu
A Pytorch Implementation of Domain adaptation of object detector using scissor-like networks
A Pytorch Implementation of Domain adaptation of object detector using scissor-like networks Please follow Faster R-CNN and DAF to complete the enviro
Build a medical knowledge graph based on Unified Language Medical System (UMLS)
UMLS-Graph Build a medical knowledge graph based on Unified Language Medical System (UMLS) Requisite Install MySQL Server 5.6 and import UMLS data int
A Pytorch Implementation of Source Data-free Domain Adaptation for a Faster R-CNN
A Pytorch Implementation of Source Data-free Domain Adaptation for a Faster R-CNN Please follow Faster R-CNN and DAF to complete the environment confi
A Pytorch Implementation of [Source data‐free domain adaptation of object detector through domain
A Pytorch Implementation of Source data‐free domain adaptation of object detector through domain‐specific perturbation Please follow Faster R-CNN and
talkbox is a scikit for signal/speech processing, to extend scipy capabilities in that domain.
talkbox is a scikit for signal/speech processing, to extend scipy capabilities in that domain.
A python library for parsing multiple types of config files, envvars & command line arguments that takes the headache out of setting app configurations.
parse_it A python library for parsing multiple types of config files, envvars and command line arguments that takes the headache out of setting app co
The Agriculture Domain of ERPNext comes with features to record crops and land
Agriculture The Agriculture Domain of ERPNext comes with features to record crops and land, track plant, soil, water, weather analytics, and even trac
Ping IP addresses and domains in parallel to find the accessible and inaccessible ones.
🚀 IPpy Parallel testing of IP addresses and domains in python. Reads IP addresses and domains from a CSV file and gives two lists of accessible and i
LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation by Junjue Wang, Zhuo Zheng, Ailong Ma, Xiaoyan Lu, and Yanfei Zh
Pytorch domain adaptation package
DomainAdaptation This package is created to tackle the problem of domain shifts when dealing with two domains of different feature distributions. In d
Some out-of-the-box hooks for pre-commit
pre-commit-hooks Some out-of-the-box hooks for pre-commit. See also: https://github.com/pre-commit/pre-commit Using pre-commit-hooks with pre-commit A
Codes for the paper Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing
Contrast and Mix (CoMix) The repository contains the codes for the paper Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Backgroun
Learning Domain Invariant Representations in Goal-conditioned Block MDPs
Learning Domain Invariant Representations in Goal-conditioned Block MDPs Beining Han, Chongyi Zheng, Harris Chan, Keiran Paster, Michael R. Zhang, Jim
RestMapper takes the pain out of integrating with RESTful APIs.
python-restmapper RestMapper takes the pain out of integrating with RESTful APIs. It removes all of the complexity with writing API-specific code, and
A low-impact profiler to figure out how much memory each task in Dask is using
dask-memusage If you're using Dask with tasks that use a lot of memory, RAM is your bottleneck for parallelism. That means you want to know how much m
The ldap2json script allows you to extract the whole LDAP content of a Windows domain into a JSON file.
ldap2json The ldap2json script allows you to extract the whole LDAP content of a Windows domain into a JSON file. Features Authenticate with password
Implementation for "Domain-Specific Bias Filtering for Single Labeled Domain Generalization"
DSBF Introduction This repository contains the implementation code for paper: Domain-Specific Bias Filtering for Single Labeled Domain Generalization
[NeurIPS-2020] Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID.
Self-paced Contrastive Learning (SpCL) The official repository for Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID
[ECCV2020] Content-Consistent Matching for Domain Adaptive Semantic Segmentation
[ECCV20] Content-Consistent Matching for Domain Adaptive Semantic Segmentation This is a PyTorch implementation of CCM. News: GTA-4K list is available
Pytorch implementation for "Open Compound Domain Adaptation" (CVPR 2020 ORAL)
Open Compound Domain Adaptation [Project] [Paper] [Demo] [Blog] Overview Open Compound Domain Adaptation (OCDA) is the author's re-implementation of t
Code release for Transferable Curriculum for Weakly-Supervised Domain Adaptation (AAAI2019)
TCL Code release for Transferable Curriculum for Weakly-Supervised Domain Adaptation (AAAI2019) Dataset Office-31 dataset, with 0.4 label noise Requir
Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, ICCV 2017
AdaptationSeg This is the Python reference implementation of AdaptionSeg proposed in "Curriculum Domain Adaptation for Semantic Segmentation of Urban
A library that allows you to easily mock out tests based on AWS infrastructure.
Moto - Mock AWS Services Install $ pip install moto[ec2,s3,all] In a nutshell Moto is a library that allows your tests to easily mock out AWS Services
Code for the project carried out fulfilling the course requirements for Fall 2021 NLP at NYU
Introduction Fairseq(-py) is a sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization,
Frequency Spectrum Augmentation Consistency for Domain Adaptive Object Detection
Frequency Spectrum Augmentation Consistency for Domain Adaptive Object Detection Main requirements torch = 1.0 torchvision = 0.2.0 Python 3 Environm
Resources related to our paper "CLIN-X: pre-trained language models and a study on cross-task transfer for concept extraction in the clinical domain"
CLIN-X (CLIN-X-ES) & (CLIN-X-EN) This repository holds the companion code for the system reported in the paper: "CLIN-X: pre-trained language models a
TensorFlow Implementation of Unsupervised Cross-Domain Image Generation
Domain Transfer Network (DTN) TensorFlow implementation of Unsupervised Cross-Domain Image Generation. Requirements Python 2.7 TensorFlow 0.12 Pickle
An OSINT program that allows you to uncover a censored domain in an email adress
An OSINT program that allows you to uncover a censored domain in an email adress. Useful when you extract email from Instagram or Twitter password recovery function.
Codes for building and training the neural network model described in Domain-informed neural networks for interaction localization within astroparticle experiments.
Domain-informed Neural Networks Codes for building and training the neural network model described in Domain-informed neural networks for interaction
This repository includes code of my study about Asynchronous in Frequency domain of GAN images.
Exploring the Asynchronous of the Frequency Spectra of GAN-generated Facial Images Binh M. Le & Simon S. Woo, "Exploring the Asynchronous of the Frequ
Frequency Spectrum Augmentation Consistency for Domain Adaptive Object Detection
Frequency Spectrum Augmentation Consistency for Domain Adaptive Object Detection Main requirements torch = 1.0 torchvision = 0.2.0 Python 3 Environm
CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation
[ICCV2021] TransReID: Transformer-based Object Re-Identification [pdf] The official repository for TransReID: Transformer-based Object Re-Identificati
Fills out the container extension form automatically. (Specific to IIT Ropar)
automated_container_extension Fills out the container extension form automatically. (Specific to IIT Ropar) Download the chrome driver from the websit
Dense Passage Retriever - is a set of tools and models for open domain Q&A task.
Dense Passage Retrieval Dense Passage Retrieval (DPR) - is a set of tools and models for state-of-the-art open-domain Q&A research. It is based on the
Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing
Introduction Funnel-Transformer is a new self-attention model that gradually compresses the sequence of hidden states to a shorter one and hence reduc
Large-scale open domain KNOwledge grounded conVERsation system based on PaddlePaddle
Knover Knover is a toolkit for knowledge grounded dialogue generation based on PaddlePaddle. Knover allows researchers and developers to carry out eff
Code for Crowd counting via unsupervised cross-domain feature adaptation.
CDFA-pytorch Code for Unsupervised crowd counting via cross-domain feature adaptation. Pre-trained models Google Drive Baidu Cloud : t4qc Environment
Make your MacOS keyboard brightness fade in and out
Make your MacOS keyboard brightness fade in and out. (It's working depends on the Kbrightness file, which only works for 2015 Macs, so this will only work on 2015 Macs.)
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning Tensorflow code and models for the paper: Large Scale Fine-Grained Categ
POC for detecting the Log4Shell (Log4J RCE) vulnerability
Interactsh An OOB interaction gathering server and client library Features • Usage • Interactsh Client • Interactsh Server • Interactsh Integration •
Powerful unsupervised domain adaptation method for dense retrieval.
Powerful unsupervised domain adaptation method for dense retrieval
Accurately separate the TLD from the registered domain and subdomains of a URL, using the Public Suffix List.
tldextract Python Module tldextract accurately separates the gTLD or ccTLD (generic or country code top-level domain) from the registered domain and s
Exploiting CVE-2021-42278 and CVE-2021-42287 to impersonate DA from standard domain user
About Exploiting CVE-2021-42278 and CVE-2021-42287 to impersonate DA from standard domain user Changed from sam-the-admin. Usage SAM THE ADMIN CVE-202
Selecting Parallel In-domain Sentences for Neural Machine Translation Using Monolingual Texts
DataSelection-NMT Selecting Parallel In-domain Sentences for Neural Machine Translation Using Monolingual Texts Quick update: The paper got accepted o
Implementation of "Semi-supervised Domain Adaptive Structure Learning"
Semi-supervised Domain Adaptive Structure Learning - ASDA This repo contains the source code and dataset for our ASDA paper. Illustration of the propo
These are the materials for the paper "Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations"
Few-shot-NLEs These are the materials for the paper "Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations". You can find the smal
Implementation of our recent paper, WOOD: Wasserstein-based Out-of-Distribution Detection.
WOOD Implementation of our recent paper, WOOD: Wasserstein-based Out-of-Distribution Detection. Abstract The training and test data for deep-neural-ne
ANEA: Automated (Named) Entity Annotation for German Domain-Specific Texts
ANEA The goal of Automatic (Named) Entity Annotation is to create a small annotated dataset for NER extracted from German domain-specific texts. Insta
Internationalized Domain Names for Python (IDNA 2008 and UTS #46)
Internationalized Domain Names in Applications (IDNA) Support for the Internationalised Domain Names in Applications (IDNA) protocol as specified in R
InDuDoNet+: A Model-Driven Interpretable Dual Domain Network for Metal Artifact Reduction in CT Images
InDuDoNet+: A Model-Driven Interpretable Dual Domain Network for Metal Artifact Reduction in CT Images Hong Wang, Yuexiang Li, Haimiao Zhang, Deyu Men
Official implementation of the article "Unsupervised JPEG Domain Adaptation For Practical Digital Forensics"
Unsupervised JPEG Domain Adaptation for Practical Digital Image Forensics @WIFS2021 (Montpellier, France) Rony Abecidan, Vincent Itier, Jeremie Boulan
Simple application that does transformation with HPF and LPFs.
Simple application that applies Butterworth, Gaussian & Ideal kernels on HPF and LPFs -aka Frequency Domain Filtering- Upload image from sidebar, set
Exploiting CVE-2021-42278 and CVE-2021-42287 to impersonate DA from standard domain user
Exploiting CVE-2021-42278 and CVE-2021-42287 to impersonate DA from standard domain user Known issues it will not work outside kali , i will update it
CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation
CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation [arxiv] This is the official repository for CDTrans: Cross-domain Transformer for
Cycle Consistent Adversarial Domain Adaptation (CyCADA)
Cycle Consistent Adversarial Domain Adaptation (CyCADA) A pytorch implementation of CyCADA. If you use this code in your research please consider citi
Python 3 module to print out long strings of text with intervals of time inbetween
Python-Fastprint Python 3 module to print out long strings of text with intervals of time inbetween Install: pip install fastprint Sync Usage: from fa
Official Implementation for the paper DeepFace-EMD: Re-ranking Using Patch-wise Earth Mover’s Distance Improves Out-Of-Distribution Face Identification
DeepFace-EMD: Re-ranking Using Patch-wise Earth Mover’s Distance Improves Out-Of-Distribution Face Identification Official Implementation for the pape
Code accompanying "Adaptive Methods for Aggregated Domain Generalization"
Adaptive Methods for Aggregated Domain Generalization (AdaClust) Official Pytorch Implementation of Adaptive Methods for Aggregated Domain Generalizat
(AAAI2022) Style Mixing and Patchwise Prototypical Matching for One-Shot Unsupervised Domain Adaptive Semantic Segmentation
SM-PPM This is a Pytorch implementation of our paper "Style Mixing and Patchwise Prototypical Matching for One-Shot Unsupervised Domain Adaptive Seman
The ldapconsole script allows you to perform custom LDAP requests to a Windows domain
ldapconsole The ldapconsole script allows you to perform custom LDAP requests to a Windows domain. Features Authenticate with password Authenticate wi
Hexa is an advanced browser.It can carry out all the functions present in a browser.
Hexa is an advanced browser.It can carry out all the functions present in a browser.It is coded in the language Python using the modules PyQt5 and sys mainly.It is gonna get developed more in the future.It is made specially for the students.Only 1 tab can be used while using it so that the students cant missuse the pandemic situation :)
Domain To Api [ PYTHON ]
Domain To IP Usage You Open Terminal For Run The Program python ip.py Input & Output Input Your List e.g domain.txt Output ( For Save Output File )
Template for a rest app with flask, flask-rest and more...
Flask REST Template About the project (some comments): The ideia behind the project is to create an useful and simple template for an rest app . Besid
[CVPR 2020] Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective [Arxiv] This is PyTorch implementation of th
Testing out some (stolen) DMA code for RP2040 Micropython
RP2040_micropython_dma testing out some (stolen) DMA code for RP2040 Micropython. Heavy inspiration and some code from https://iosoft.blog/2021/10/26/
Conflict-aware Inference of Python Compatible Runtime Environments with Domain Knowledge Graph, ICSE 2022
PyCRE Conflict-aware Inference of Python Compatible Runtime Environments with Domain Knowledge Graph, ICSE 2022 Dependencies This project is developed
Takes a file of hosts or domains and outputs the IP address of each host/domain in the file.
Takes a file of hosts or domains and outputs the IP address of each host/domain in the file. Installation $ git clone https://github.com/whoamisec75/i
DOP-Tuning(Domain-Oriented Prefix-tuning model)
DOP-Tuning DOP-Tuning(Domain-Oriented Prefix-tuning model)代码基于Prefix-Tuning改进. Files ├── seq2seq # Code for encoder-decoder arch
Interactive Visualization to empower domain experts to align ML model behaviors with their knowledge.
An interactive visualization system designed to helps domain experts responsibly edit Generalized Additive Models (GAMs). For more information, check
Generalise Prometheus metrics. takes out server specific, replaces variables and such.
Generalise Prometheus metrics. takes out server specific, replaces variables and such. makes it easier to copy from Prometheus console straight to Grafana.
The Good Old Days. | Testing Out A New Module-
The-Good-Old-Days. The Good Old Days. | Testing Out A New Module- Installation Asciimatics supports Python versions 2 & 3. For the precise list of tes
This script aims to make the dynamic public ip of your local server, public.
EZ DDNS CLOUDFLARE This script aims to make the dynamic ip of your local server, public. It does this by regularly updating cloudflare's dns record. B
Gym-TORCS is the reinforcement learning (RL) environment in TORCS domain with OpenAI-gym-like interface.
Gym-TORCS Gym-TORCS is the reinforcement learning (RL) environment in TORCS domain with OpenAI-gym-like interface. TORCS is the open-rource realistic
The Spark Challenge Student Check-In/Out Tracking Script
The Spark Challenge Student Check-In/Out Tracking Script This Python Script uses the Student ID Database to match the entries with the ID Card Swipe a
Discord bot that automatically fills out health screenings
Auto Covid Bot Automatically fill out the NYC DOE health screening form by registering with a discord bot School code can be found on https://schoolse
Out-of-the-box support register, sign in, email verification and password recovery workflows for websites based on Django and MongoDB
Using djmongoauth What is it? djmongoauth provides out-of-the-box support for basic user management and additional operations including user registrat
Pytorch domain library for recommendation systems
TorchRec (Experimental Release) TorchRec is a PyTorch domain library built to provide common sparsity & parallelism primitives needed for large-scale
Answering Open-Domain Questions of Varying Reasoning Steps from Text
This repository contains the authors' implementation of the Iterative Retriever, Reader, and Reranker (IRRR) model in the EMNLP 2021 paper "Answering Open-Domain Questions of Varying Reasoning Steps from Text".
Dense Passage Retriever - is a set of tools and models for open domain Q&A task.
Dense Passage Retrieval Dense Passage Retrieval (DPR) - is a set of tools and models for state-of-the-art open-domain Q&A research. It is based on the
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