416 Repositories
Python domain-alignment Libraries
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
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
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
Face Alignment using python
Face Alignment Face Alignment using python Input Image Aligned Face Aligned Face Aligned Face Input Image Aligned Face Input Image Aligned Face Instal
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
DECA: Detailed Expression Capture and Animation (SIGGRAPH 2021)
DECA: Detailed Expression Capture and Animation (SIGGRAPH2021) input image, aligned reconstruction, animation with various poses & expressions This is
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
A Transformer-Based Feature Segmentation and Region Alignment Method For UAV-View Geo-Localization
University1652-Baseline [Paper] [Slide] [Explore Drone-view Data] [Explore Satellite-view Data] [Explore Street-view Data] [Video Sample] [中文介绍] This
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
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
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
Powerful unsupervised domain adaptation method for dense retrieval.
Powerful unsupervised domain adaptation method for dense retrieval
A computational block to solve entity alignment over textual attributes in a knowledge graph creation pipeline.
How to apply? Create your config.ini file following the example provided in config.ini Choose one of the options below to run: Run with Python3 pip in
pandas: powerful Python data analysis toolkit
pandas is a Python package that provides fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive.
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
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
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
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
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
Official PyTorch Implementation of GAN-Supervised Dense Visual Alignment
GAN-Supervised Dense Visual Alignment — Official PyTorch Implementation Paper | Project Page | Video This repo contains training, evaluation and visua
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
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
A TensorFlow implementation of the Mnemonic Descent Method.
MDM A Tensorflow implementation of the Mnemonic Descent Method. Mnemonic Descent Method: A recurrent process applied for end-to-end face alignment G.
BERTMap: A BERT-Based Ontology Alignment System
BERTMap: A BERT-based Ontology Alignment System Important Notices The relevant paper was accepted in AAAI-2022. Arxiv version is available at: https:/
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
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
A simple framwork to streamline the Domain Adaptation training process.
FastDA Introduction This is a simple framework for domain adaptation training. You can use it to build your own training process. It heavily relies on
A module to prevent invites and joins to Matrix rooms by checking the involved server(s)' domain.
Synapse Domain Rule Checker A module to prevent invites and joins to Matrix rooms by checking the involved server(s)' domain. Installation From the vi
OOD Generalization and Detection (ACL 2020)
Pretrained Transformers Improve Out-of-Distribution Robustness How does pretraining affect out-of-distribution robustness? We create an OOD benchmark
EMNLP 2021 paper "Pre-train or Annotate? Domain Adaptation with a Constrained Budget".
Pre-train or Annotate? Domain Adaptation with a Constrained Budget This repo contains code and data associated with EMNLP 2021 paper "Pre-train or Ann
Source code for the ACL-IJCNLP 2021 paper entitled "T-DNA: Taming Pre-trained Language Models with N-gram Representations for Low-Resource Domain Adaptation" by Shizhe Diao et al.
T-DNA Source code for the ACL-IJCNLP 2021 paper entitled Taming Pre-trained Language Models with N-gram Representations for Low-Resource Domain Adapta
Information Gain Filtration (IGF) is a method for filtering domain-specific data during language model finetuning. IGF shows significant improvements over baseline fine-tuning without data filtration.
Information Gain Filtration Information Gain Filtration (IGF) is a method for filtering domain-specific data during language model finetuning. IGF sho
Official implementation for the paper "Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object Detection"
Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object Detection PyTorch code release of the paper "Attentive Prototypes for Sour
Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)
CDAN Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018) New version: https://github.com/thuml/Transfer-Learning-Library Dataset
code for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"
Code for our ECCV (2020) paper A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation. Prerequisites: python == 3.6.8 pytorch ==1.1.0
Official Implementation of DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation [Arxiv] [Paper] As acquiring pixel-wise an
Revisiting Temporal Alignment for Video Restoration
Revisiting Temporal Alignment for Video Restoration [arXiv] Kun Zhou, Wenbo Li, Liying Lu, Xiaoguang Han, Jiangbo Lu We provide our results at Google
Official implementation for the paper "Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object Detection"
Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object Detection PyTorch code release of the paper "Attentive Prototypes for Sour
Pytorch implementation for "Implicit Semantic Response Alignment for Partial Domain Adaptation"
Implicit-Semantic-Response-Alignment Pytorch implementation for "Implicit Semantic Response Alignment for Partial Domain Adaptation" Prerequisites pyt
Adversarial Reweighting for Partial Domain Adaptation
Adversarial Reweighting for Partial Domain Adaptation Code for paper "Xiang Gu, Xi Yu, Yan Yang, Jian Sun, Zongben Xu, Adversarial Reweighting for Par
'Aligned mixture of latent dynamical systems' (amLDS) for stimulus decoding probabilistic manifold alignment across animals. P. Herrero-Vidal et al. NeurIPS 2021 code.
Across-animal odor decoding by probabilistic manifold alignment (NeurIPS 2021) This repository is the official implementation of aligned mixture of la
Domain Adaptation with Invariant RepresentationLearning: What Transformations to Learn?
Domain Adaptation with Invariant RepresentationLearning: What Transformations to Learn? Repository Structure: DSAN |└───amazon | └── dataset (Amazo
Balancing Principle for Unsupervised Domain Adaptation
Blancing Principle for Domain Adaptation NeurIPS 2021 Paper Abstract We address the unsolved algorithm design problem of choosing a justified regulari
StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators
StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators [Project Website] [Replicate.ai Project] StyleGAN-NADA: CLIP-Guided Domain Adaptation
Official Pytorch Implementation of Unsupervised Image Denoising With Frequency Domain Knowledge (BMVC2021 Oral Accepted Paper)
Unsupervised Image Denoising with Frequency Domain Knowledge (BMVC 2021 Oral) : Official Project Page This repository provides the official PyTorch im
Resizing using nnedi3/znedi3/nnedi3cl with center alignment and correct chroma placement
nnedi3_resample A VapourSynth script for easy resizing using nnedi3/znedi3/nnedi3cl with center alignment and correct chroma placement. Requirements n
Official Pytorch Implementation of Unsupervised Image Denoising with Frequency Domain Knowledge
Unsupervised Image Denoising with Frequency Domain Knowledge (BMVC 2021 Oral) : Official Project Page This repository provides the official PyTorch im
SPCL: A New Framework for Domain Adaptive Semantic Segmentation via Semantic Prototype-based Contrastive Learning
SPCL SPCL: A New Framework for Domain Adaptive Semantic Segmentation via Semantic Prototype-based Contrastive Learning Update on 2021/11/25: ArXiv Ver
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
A simple dork generator written in python that outputs dorks with the domain extensions you enter
Dork Gen A simple dork generator written in python that outputs dorks with the domain extensions you enter in a ".txt file". Usage The code is pretty
CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system
CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system
「📖」Tool created to extract metadata from a domain
Metafind is an OSINT tool created with the aim of automating the search for metadata of a particular domain from the search engine known as Google.
Deep Video Matting via Spatio-Temporal Alignment and Aggregation [CVPR2021]
Deep Video Matting via Spatio-Temporal Alignment and Aggregation [CVPR2021] Paper: https://arxiv.org/abs/2104.11208 Introduction Despite the significa
Automatically align face images 🙃→🙂. Can also do windowing and warping.
Automatic Face Alignment (AFA) Carl M. Gaspar & Oliver G.B. Garrod You have lots of photos of faces like this: But you want to line up all of the face
Code of TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation
TVT Code of TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation Datasets: Digit: MNIST, SVHN, USPS Object: Office, Office-Home, Vi
CenterFace(size of 7.3MB) is a practical anchor-free face detection and alignment method for edge devices.
CenterFace Introduce CenterFace(size of 7.3MB) is a practical anchor-free face detection and alignment method for edge devices. Recent Update 2019.09.
A modular domain adaptation library written in PyTorch.
A modular domain adaptation library written in PyTorch.
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
Towards Improving Embedding Based Models of Social Network Alignment via Pseudo Anchors
PSML paper: Towards Improving Embedding Based Models of Social Network Alignment via Pseudo Anchors PSML_IONE,PSML_ABNE,PSML_DEEPLINK,PSML_SNNA: numpy
Backdoor Attack through Frequency Domain
Backdoor Attack through Frequency Domain DEPENDENCIES python==3.8.3 numpy==1.19.4 tensorflow==2.4.0 opencv==4.5.1 idx2numpy==1.2.3 pytorch==1.7.0 Data
A Domain-Agnostic Benchmark for Self-Supervised Learning
DABS: A Domain Agnostic Benchmark for Self-Supervised Learning This repository contains the code for DABS, a benchmark for domain-agnostic self-superv
Code release for Universal Domain Adaptation(CVPR 2019)
Universal Domain Adaptation Code release for Universal Domain Adaptation(CVPR 2019) Requirements python 3.6+ PyTorch 1.0 pip install -r requirements.t
VR-Caps: A Virtual Environment for Active Capsule Endoscopy
VR-Caps: A Virtual Environment for Capsule Endoscopy Overview We introduce a virtual active capsule endoscopy environment developed in Unity that prov
Create beautiful diagrams just by typing mathematical notation in plain text.
Penrose Penrose is an early-stage system that is still in development. Our system is not ready for contributions or public use yet, but hopefully will
The code for Bi-Mix: Bidirectional Mixing for Domain Adaptive Nighttime Semantic Segmentation
BiMix The code for Bi-Mix: Bidirectional Mixing for Domain Adaptive Nighttime Semantic Segmentation arxiv Framework: visualization results: Requiremen
The source code and dataset for the RecGURU paper (WSDM 2022)
RecGURU About The Project Source code and baselines for the RecGURU paper "RecGURU: Adversarial Learning of Generalized User Representations for Cross