641 Repositories
Python visual-testing Libraries
a wrapper around pytest for executing tests to look for test flakiness and runtime regression
bubblewrap a wrapper around pytest for assessing flakiness and runtime regressions a cs implementations practice project How to Run: First, install de
One-stop-shop for docs and test coverage of dbt projects.
dbt-coverage One-stop-shop for docs and test coverage of dbt projects. Why do I need something like this? dbt-coverage is to dbt what coverage.py and
A Simple Unit Test Matcher Library for Python 3
pychoir - Python Test Matchers for humans Super duper low cognitive overhead matching for Python developers reading or writing tests. Implemented in p
Official Implementation of SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations
Official Implementation of SimIPU SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations Since
Visual Adversarial Imitation Learning using Variational Models (VMAIL)
Visual Adversarial Imitation Learning using Variational Models (VMAIL) This is the official implementation of the NeurIPS 2021 paper. Project website
A concise grammar of interactive graphics, built on Vega.
Vega-Lite Vega-Lite provides a higher-level grammar for visual analysis that generates complete Vega specifications. You can find more details, docume
Tensorflow 2 implementations of the C-SimCLR and C-BYOL self-supervised visual representation methods from "Compressive Visual Representations" (NeurIPS 2021)
Compressive Visual Representations This repository contains the source code for our paper, Compressive Visual Representations. We developed informatio
Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019
Class-Balanced Loss Based on Effective Number of Samples Tensorflow code for the paper: Class-Balanced Loss Based on Effective Number of Samples Yin C
[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
[NeurIPS 2020] Code for the paper "Balanced Meta-Softmax for Long-Tailed Visual Recognition"
Balanced Meta-Softmax Code for the paper Balanced Meta-Softmax for Long-Tailed Visual Recognition Jiawei Ren, Cunjun Yu, Shunan Sheng, Xiao Ma, Haiyu
[CVPR 2021] MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition (CVPR 2021) arXiv Prerequisite PyTorch = 1.2.0 Python3 torchvision PIL argpar
This repository contains code for the paper "Disentangling Label Distribution for Long-tailed Visual Recognition", published at CVPR' 2021
Disentangling Label Distribution for Long-tailed Visual Recognition (CVPR 2021) Arxiv link Blog post This codebase is built on Causal Norm. Install co
Automate issue discovery for your projects against Lightning nightly and releases.
Automated Testing for Lightning EcoSystem Projects Automate issue discovery for your projects against Lightning nightly and releases. You get CPUs, Mu
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/
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
[AAAI2022] Source code for our paper《Suppressing Static Visual Cues via Normalizing Flows for Self-Supervised Video Representation Learning》
SSVC The source code for paper [Suppressing Static Visual Cues via Normalizing Flows for Self-Supervised Video Representation Learning] samples of the
HIVE: Evaluating the Human Interpretability of Visual Explanations
HIVE: Evaluating the Human Interpretability of Visual Explanations Project Page | Paper This repo provides the code for HIVE, a human evaluation frame
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
Lip Reading - Cross Audio-Visual Recognition using 3D Convolutional Neural Networks
Lip Reading - Cross Audio-Visual Recognition using 3D Convolutional Neural Networks - Official Project Page This repository contains the code develope
An OpenAI-Gym Package for Training and Testing Reinforcement Learning algorithms with OpenSim Models
Authors: Utkarsh A. Mishra and Dr. Dimitar Stanev Advisors: Dr. Dimitar Stanev and Prof. Auke Ijspeert, Biorobotics Laboratory (BioRob), EPFL Video Pl
A visual dataflow programming language for sklearn
Persimmon What is it? Persimmon is a visual dataflow language for creating sklearn pipelines. It represents functions as blocks, inputs and outputs ar
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
AI Fairness 360 (AIF360) The AI Fairness 360 toolkit is an extensible open-source library containg techniques developed by the research community to h
OpenCodeBlocks an open-source tool for modular visual programing in python
OpenCodeBlocks OpenCodeBlocks is an open-source tool for modular visual programing in python ! Although for now the tool is in Beta and features are c
Python package used on Hardfight projects to make building, testing and deploying easy.
Hardfight Devtools Build, test and deploy Hardfight projects easly 💡 What is it Devtools is a Python tool to make building, testing and deploying int
Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".
VL-BERT By Weijie Su, Xizhou Zhu, Yue Cao, Bin Li, Lewei Lu, Furu Wei, Jifeng Dai. This repository is an official implementation of the paper VL-BERT:
Research Code for NeurIPS 2020 Spotlight paper "Large-Scale Adversarial Training for Vision-and-Language Representation Learning": UNITER adversarial training part
VILLA: Vision-and-Language Adversarial Training This is the official repository of VILLA (NeurIPS 2020 Spotlight). This repository currently supports
[CVPR 2021] VirTex: Learning Visual Representations from Textual Annotations
VirTex: Learning Visual Representations from Textual Annotations Karan Desai and Justin Johnson University of Michigan CVPR 2021 arxiv.org/abs/2006.06
A Fast Knowledge Distillation Framework for Visual Recognition
FKD: A Fast Knowledge Distillation Framework for Visual Recognition Official PyTorch implementation of paper A Fast Knowledge Distillation Framework f
This is the code for our paper "Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text"
Iconary This is the code for our paper "Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text". It includes the
PyTorch implementation of paper A Fast Knowledge Distillation Framework for Visual Recognition.
FKD: A Fast Knowledge Distillation Framework for Visual Recognition Official PyTorch implementation of paper A Fast Knowledge Distillation Framework f
Codebase for testing whether hidden states of neural networks encode discrete structures.
structural-probes Codebase for testing whether hidden states of neural networks encode discrete structures. Based on the paper A Structural Probe for
A unified 3D Transformer Pipeline for visual synthesis
Overview This is the official repo for the paper: NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion. NÜWA is a unified multimodal p
Dataset for the Research2Clinics @ NeurIPS 2021 Paper: What Do You See in this Patient? Behavioral Testing of Clinical NLP Models
Behavioral Testing of Clinical NLP Models This repository contains code for testing the behavior of clinical prediction models based on patient letter
Predicting Event Memorability from Contextual Visual Semantics
Predicting Event Memorability from Contextual Visual Semantics
PyTorch implementation of "Debiased Visual Question Answering from Feature and Sample Perspectives" (NeurIPS 2021)
D-VQA We provide the PyTorch implementation for Debiased Visual Question Answering from Feature and Sample Perspectives (NeurIPS 2021). Dependencies P
This is a short program that takes the input from your microphone and uses OpenGL to draw a live colourful pattern
Visual-Music This is a short program that takes the input from your microphone and uses OpenGL to draw a live colourful pattern Installation and Setup
Behavioral Testing of Clinical NLP Models
Behavioral Testing of Clinical NLP Models This repository contains code for testing the behavior of clinical prediction models based on patient letter
Toward a Visual Concept Vocabulary for GAN Latent Space, ICCV 2021
Toward a Visual Concept Vocabulary for GAN Latent Space Code and data from the ICCV 2021 paper Sarah Schwettmann, Evan Hernandez, David Bau, Samuel Kl
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
Behavioral "black-box" testing for recommender systems
RecList RecList Free software: MIT license Documentation: https://reclist.readthedocs.io. Overview RecList is an open source library providing behavio
Pytorch Implementation of Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic
Pytorch Implementation of Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic [Paper] [Colab is coming soon] Approach Example Usage To r
Testing additional addon devices, and their working scripts
ESP32-addon-devices-potpurri Testing additional addon devices, and their micropython working scripts 📑 List of device addons tested so far Ethernet P
Pytorch Implementation of Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic
Pytorch Implementation of Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic [Paper] [Colab is coming soon] Approach Example Usage To r
PyTorch code of paper "LiVLR: A Lightweight Visual-Linguistic Reasoning Framework for Video Question Answering"
LiVLR-VideoQA We propose a Lightweight Visual-Linguistic Reasoning framework (LiVLR) for VideoQA. The overview of LiVLR: Evaluation on MSRVTT-QA Datas
Kattis shell for getting examples, testing and submitting.
Kattis shell for getting examples, testing and submitting.
A fast, dataset-agnostic, deep visual search engine for digital art history
imgs.ai imgs.ai is a fast, dataset-agnostic, deep visual search engine for digital art history based on neural network embeddings. It utilizes modern
A dual benchmarking study of visual forgery and visual forensics techniques
A dual benchmarking study of facial forgery and facial forensics In recent years, visual forgery has reached a level of sophistication that humans can
This repository contains all code and data for the Inside Out Visual Place Recognition task
Inside Out Visual Place Recognition This repository contains code and instructions to reproduce the results for the Inside Out Visual Place Recognitio
Testability-Aware Low Power Controller Design with Evolutionary Learning, ITC2021
Testability-Aware Low Power Controller Design with Evolutionary Learning This repo contains the source code of Testability-Aware Low Power Controller
Generate random test credit card numbers for testing, validation and/or verification purposes.
Generate random test credit card numbers for testing, validation and/or verification purposes.
HybVIO visual-inertial odometry and SLAM system
HybVIO A visual-inertial odometry system with an optional SLAM module. This is a research-oriented codebase, which has been published for the purposes
Learning Convolutional Neural Networks with Interactive Visualization.
CNN Explainer An interactive visualization system designed to help non-experts learn about Convolutional Neural Networks (CNNs) For more information,
Python tools for penetration testing
pyTools_PT python tools for penetration testing Please don't use these tool for illegal purposes. These tools is meant for penetration testing for leg
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!
GitHub action for AppSweep Mobile Application Security Testing
GitHub action for AppSweep can be used to continuously integrate app scanning using AppSweep into your Android app build process
Pytest plugin for testing the idempotency of a function.
pytest-idempotent Pytest plugin for testing the idempotency of a function. Usage pip install pytest-idempotent Documentation Suppose we had the follo
Revisiting Video Saliency: A Large-scale Benchmark and a New Model (CVPR18, PAMI19)
DHF1K =========================================================================== Wenguan Wang, J. Shen, M.-M Cheng and A. Borji, Revisiting Video Sal
Demo repository for Saltconf21 talk - Testing strategies for Salt states
Saltconf21 testing strategies Demonstration repository for my Saltconf21 talk "Strategies for testing Salt states" Talk recording Slides and demos Get
RecList is an open source library providing behavioral, "black-box" testing for recommender systems.
RecList is an open source library providing behavioral, "black-box" testing for recommender systems.
Code for testing convergence rates of Lipschitz learning on graphs
📈 LipschitzLearningRates The code in this repository reproduces the experimental results on convergence rates for k-nearest neighbor graph infinity L
A unified 3D Transformer Pipeline for visual synthesis
Overview This is the official repo for the paper: "NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion". NÜWA is a unified multimodal
PyTorch implementation for the visual prior component (i.e. perception module) of the Visually Grounded Physics Learner [Li et al., 2020].
VGPL-Visual-Prior PyTorch implementation for the visual prior component (i.e. perception module) of the Visually Grounded Physics Learner (VGPL). Give
Repo for our ICML21 paper Unsupervised Learning of Visual 3D Keypoints for Control
Unsupervised Learning of Visual 3D Keypoints for Control [Project Website] [Paper] Boyuan Chen1, Pieter Abbeel1, Deepak Pathak2 1UC Berkeley 2Carnegie
Auto locust load test config and worker distribution with Docker and GitHub Action
Auto locust load test config and worker distribution with Docker and GitHub Action Install Fork the repo and change the visibility option to private S
Moodle community-based vulnerability scanner
badmoodle Moodle community-based vulnerability scanner Description badmoodle is an unofficial community-based vulnerability scanner for moodle that sc
Creating multimodal multitask models
Fusion Brain Challenge The English version of the document can be found here. Обновления 01.11 Мы выкладываем пример данных, аналогичных private test
Testing - Instrumenting Sanic framework with Opentelemetry
sanic-otel-splunk Testing - Instrumenting Sanic framework with Opentelemetry Test with python 3.8.10, sanic 20.12.2 Step to instrument pip install -r
Falcon: Interactive Visual Analysis for Big Data
Falcon: Interactive Visual Analysis for Big Data Crossfilter millions of records without latencies. This project is work in progress and not documente
Collection of AWS Fault Injection Simulator (FIS) experiment templates.
Collection of AWS Fault Injection Simulator (FIS) experiment templates. These templates let you perform chaos engineering experiments on resources (applications, network, and infrastructure) in the AWS Cloud.
An Active Automata Learning Library Written in Python
AALpy An Active Automata Learning Library AALpy is a light-weight active automata learning library written in pure Python. You can start learning auto
Command line tool for interacting and testing warehouse components
Warehouse debug CLI Example usage for Zumo debugging See all messages queued and handled. Enable by compiling the zumo-controller with -DDEBUG_MODE_EN
Avocado is a set of tools and libraries to help with automated testing.
Welcome to Avocado Avocado is a set of tools and libraries to help with automated testing. One can call it a test framework with benefits. Native test
[NeurIPS 2021 Spotlight] Code for Learning to Compose Visual Relations
Learning to Compose Visual Relations This is the pytorch codebase for the NeurIPS 2021 Spotlight paper Learning to Compose Visual Relations. Demo Imag
Visual Memorability for Robotic Interestingness via Unsupervised Online Learning (ECCV 2020 Oral and TRO)
Visual Interestingness Refer to the project description for more details. This code based on the following paper. Chen Wang, Yuheng Qiu, Wenshan Wang,
Blind visual quality assessment on 360° Video based on progressive learning
Blind visual quality assessment on omnidirectional or 360 video (ProVQA) Blind VQA for 360° Video via Progressively Learning from Pixels, Frames and V
Implementation of DocFormer: End-to-End Transformer for Document Understanding, a multi-modal transformer based architecture for the task of Visual Document Understanding (VDU)
DocFormer - PyTorch Implementation of DocFormer: End-to-End Transformer for Document Understanding, a multi-modal transformer based architecture for t
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective Zhengzhuo Xu, Zenghao Chai, Chun Yuan This is the PyTorch implement
Learning kernels to maximize the power of MMD tests
Code for the paper "Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy" (arXiv:1611.04488; published at ICLR 2017), by Douga
SalGAN: Visual Saliency Prediction with Generative Adversarial Networks
SalGAN: Visual Saliency Prediction with Adversarial Networks Junting Pan Cristian Canton Ferrer Kevin McGuinness Noel O'Connor Jordi Torres Elisa Sayr
The Fundamental Clustering Problems Suite (FCPS) summaries 54 state-of-the-art clustering algorithms, common cluster challenges and estimations of the number of clusters as well as the testing for cluster tendency.
FCPS Fundamental Clustering Problems Suite The package provides over sixty state-of-the-art clustering algorithms for unsupervised machine learning pu
Making simplex testing clean and simple
Making Simplex Project Testing - Clean and Simple What does this repo do? It organizes the python stack for the coding project What do I need to do in
PyTorch implementation of MulMON
MulMON This repository contains a PyTorch implementation of the paper: Learning Object-Centric Representations of Multi-object Scenes from Multiple Vi
LIMEcraft: Handcrafted superpixel selectionand inspection for Visual eXplanations
LIMEcraft LIMEcraft: Handcrafted superpixel selectionand inspection for Visual eXplanations The LIMEcraft algorithm is an explanatory method based on
Summary of related papers on visual attention
This repo is built for paper: Attention Mechanisms in Computer Vision: A Survey paper Vision-Attention-Papers Channel attention Spatial attention Temp
RRxIO - Robust Radar Visual/Thermal Inertial Odometry: Robust and accurate state estimation even in challenging visual conditions.
RRxIO - Robust Radar Visual/Thermal Inertial Odometry RRxIO offers robust and accurate state estimation even in challenging visual conditions. RRxIO c
Automated testing tool developed in python for Advanced mathematical operations.
Advanced-Maths-Operations-Validations Automated testing tool developed in python for Advanced mathematical operations. Requirements Python 3.5 or late
A "finish the lyrics" game using Spotify, YouTube Transcript, and YouTube Search APIs, coupled with visual machine learning
Singify Introducing Singify, the party game! Challenge your friend to who knows songs better. Play random songs from your very own Spotify playlist an
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
DoWhy | An end-to-end library for causal inference Amit Sharma, Emre Kiciman Introducing DoWhy and the 4 steps of causal inference | Microsoft Researc
Using fully convolutional networks for semantic segmentation with caffe for the cityscapes dataset
Using fully convolutional networks for semantic segmentation (Shelhamer et al.) with caffe for the cityscapes dataset How to get started Download the
Visual Interaction with Code - A portable visual debugger for python
VIC Visual Interaction with Code A simple tool for debugging and interacting with running python code. This tool is designed to make it easy to inspec
Luminous is a framework for testing the performance of Embodied AI (EAI) models in indoor tasks.
Luminous is a framework for testing the performance of Embodied AI (EAI) models in indoor tasks. Generally, we intergrete different kind of functional
PyTorch implementation for paper "Full-Body Visual Self-Modeling of Robot Morphologies".
Full-Body Visual Self-Modeling of Robot Morphologies Boyuan Chen, Robert Kwiatkowskig, Carl Vondrick, Hod Lipson Columbia University Project Website |
API Test Automation with Requests and Pytest
api-testing-requests-pytest Install Make sure you have Python 3 installed on your machine. Then: 1.Install pipenv sudo apt-get install pipenv 2.Go to
Generative Art Using Neural Visual Grammars and Dual Encoders
Generative Art Using Neural Visual Grammars and Dual Encoders Arnheim 1 The original algorithm from the paper Generative Art Using Neural Visual Gramm
ACAV100M: Automatic Curation of Large-Scale Datasets for Audio-Visual Video Representation Learning. In ICCV, 2021.
ACAV100M: Automatic Curation of Large-Scale Datasets for Audio-Visual Video Representation Learning This repository contains the code for our ICCV 202
SAT: 2D Semantics Assisted Training for 3D Visual Grounding, ICCV 2021 (Oral)
SAT: 2D Semantics Assisted Training for 3D Visual Grounding SAT: 2D Semantics Assisted Training for 3D Visual Grounding by Zhengyuan Yang, Songyang Zh
[AAAI-2021] Visual Boundary Knowledge Translation for Foreground Segmentation
Trans-Net Code for (Visual Boundary Knowledge Translation for Foreground Segmentation, AAAI2021). [https://ojs.aaai.org/index.php/AAAI/article/view/16
A Security Tool for Enumerating WebSockets
STEWS: Security Testing and Enumeration of WebSockets STEWS is a tool suite for security testing of WebSockets This research was first presented at OW
Python Indent - Correct python indentation in Visual Studio Code.
Python Indent Correct python indentation in Visual Studio Code. See the extension on the VSCode Marketplace and its source code on GitHub. Please cons
C++ Environment InitiatorVisual Studio Code C / C++ Environment Initiator
Visual Studio Code C / C++ Environment Initiator Latest Version : v 1.0.1(2021/11/08) .exe link here About : Visual Studio Code에서 C/C++환경을 MinGW GCC/G