1170 Repositories
Python test-time-adaptation Libraries
Synchrosqueezing, wavelet transforms, and time-frequency analysis in Python
Synchrosqueezing is a powerful reassignment method that focuses time-frequency representations, and allows extraction of instantaneous amplitudes and frequencies
This application is the basic of automated online-class-joiner(for YıldızEdu) within the right time. Gets the ZOOM link by scheduled date and time.
This application is the basic of automated online-class-joiner(for YıldızEdu) within the right time. Gets the ZOOM link by scheduled date and time.
Test finetuning of XLSR (multilingual wav2vec 2.0) for other speech classification tasks
wav2vec_finetune Test finetuning of XLSR (multilingual wav2vec 2.0) for other speech classification tasks Initial test: gender recognition on this dat
Python script to tamper with pages to test for Log4J Shell vulnerability.
log4jShell Scanner This shell script scans a vulnerable web application that is using a version of apache-log4j 2.15.0. This application is a static
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
Official implementation for Scale-Aware Neural Architecture Search for Multivariate Time Series Forecasting
1 SNAS4MTF This repo is the official implementation for Scale-Aware Neural Architecture Search for Multivariate Time Series Forecasting. 1.1 The frame
Whole-day timezone comparison
Timezone Converter Compare a full day of your local timezone with foreign ones $ timezone-converter tijuana --zone $ timezone-converter tijuana new_yo
✔️ Visual, reactive testing library for Julia. Time machine included.
PlutoTest.jl (alpha release) Visual, reactive testing library for Julia A macro @test that you can use to verify your code's correctness. But instead
Powerful unsupervised domain adaptation method for dense retrieval.
Powerful unsupervised domain adaptation method for dense retrieval
Log4j rce test environment and poc
log4jpwn log4j rce test environment See: https://www.lunasec.io/docs/blog/log4j-zero-day/ Experiments to trigger in various software products mentione
🌾 PASTIS 🌾 Panoptic Agricultural Satellite TIme Series
🌾 PASTIS 🌾 Panoptic Agricultural Satellite TIme Series (optical and radar) The PASTIS Dataset Dataset presentation PASTIS is a benchmark dataset for
pytest plugin to test mypy static type analysis
pytest-mypy-testing — Plugin to test mypy output with pytest pytest-mypy-testing provides a pytest plugin to test that mypy produces a given output. A
Python programming language Test
Exercise You are tasked with creating a data-processing app that pre-processes and enriches the data coming from crawlers, with the following requirem
Total time of all YouTube videos in a playlist.
Youtube Playlist Total Times Total time of all YouTube videos in a playlist. How to Use Download chromedriver depending on your os and chrome version
Test pour savoir si je suis capable de paratger une lib avec le monde entier !!
Data analysis Document here the project: MLproject Description: Project Description Data Source: Type of analysis: Please document the project the bet
A real-time financial data streaming pipeline and visualization platform using Apache Kafka, Cassandra, and Bokeh.
Realtime Financial Market Data Visualization and Analysis Introduction This repo shows my project about real-time stock data pipeline. All the code is
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
Adaptation through prediction: multisensory active inference torque control
Adaptation through prediction: multisensory active inference torque control Submitted to IEEE Transactions on Cognitive and Developmental Systems Abst
Leverage Twitter API v2 to analyze tweet metrics such as impressions and profile clicks over time.
Tweetmetric Tweetmetric allows you to track various metrics on your most recent tweets, such as impressions, retweets and clicks on your profile. The
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
PyIOmica (pyiomica) is a Python package for omics analyses.
PyIOmica (pyiomica) This repository contains PyIOmica, a Python package that provides bioinformatics utilities for analyzing (dynamic) omics datasets.
Humane command line arguments parser. Now with maintenance, typehints, and complete test coverage.
docopt-ng creates magic command-line interfaces CHANGELOG New in version 0.7.2: Complete MyPy typehints - ZERO errors. Required refactoring class impl
A bot written in python that send prefilled Google Forms. It supports multithreading for faster execution time.
GoogleFormsBot https://flassy.xyz https://github.com/Shawey/GoogleFormsBot Requirements: os (Default) ast (Default) threading (Default) configparser (
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
MelGAN test on audio decoding
Official repository for the paper MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis The original work URL: https://github.com
Typing test and practice on command line without the need of any internet connection
Terminal-Typing-Test Typing test and practice on command line without the need of any internet connection About CLI based typing test and practice tha
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
The official implementation of "Rethink Dilated Convolution for Real-time Semantic Segmentation"
RegSeg The official implementation of "Rethink Dilated Convolution for Real-time Semantic Segmentation" Paper: arxiv D block Decoder Setup Install the
Synthetic Data Generation for tabular, relational and time series data.
An Open Source Project from the Data to AI Lab, at MIT Website: https://sdv.dev Documentation: https://sdv.dev/SDV User Guides Developer Guides Github
Tools for test driven data-wrangling and data validation.
datatest: Test driven data-wrangling and data validation Datatest helps to speed up and formalize data-wrangling and data validation tasks. It impleme
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
Real-Time Spherical Microphone Renderer for binaural reproduction in Python
ReTiSAR Implementation of the Real-Time Spherical Microphone Renderer for binaural reproduction in Python [1][2]. Contents: | Requirements | Setup | Q
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
A pytest plugin that enables you to test your code that relies on a running Elasticsearch search engine
pytest-elasticsearch What is this? This is a pytest plugin that enables you to test your code that relies on a running Elasticsearch search engine. It
A pytest plugin, that enables you to test your code that relies on a running PostgreSQL Database
This is a pytest plugin, that enables you to test your code that relies on a running PostgreSQL Database. It allows you to specify fixtures for PostgreSQL process and client.
Web service which feeds Navitia with real-time disruptions
Chaos Chaos is the web service which can feed Navitia with real-time disruptions. It can work together with Kirin which can feed Navitia with real-tim
Real-time Coastal Monitoring at the University of Hawaii at Manoa
Coastal Monitoring at the University of Manoa Source code for Beaglebone/RPi-based data loggers, shore internet gateways, and web server. Software dev
Simple VLC-based media player that can play multiple videos at the same time
Screenshots About Simple VLC-based media player that can play multiple videos at the same time. You can play as many videos as you like, the only limi
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
In real-world applications of machine learning, reliable and safe systems must consider measures of performance beyond standard test set accuracy
PixMix Introduction In real-world applications of machine learning, reliable and safe systems must consider measures of performance beyond standard te
The test data, code and detailed description of the AW t-SNE algorithm
AW-t-SNE The test data, code and result of the AW t-SNE algorithm Structure of the folder Datasets: This folder contains two datasets, the MNIST datas
Flaskr: Intro to Flask, Test-Driven Development (TDD), and JavaScript
Flaskr - Intro to Flask, Test-Driven Development, and JavaScript Share on Twitter As many of you know, Flaskr -- a mini-blog-like-app -- is the app th
Security Monkey monitors AWS, GCP, OpenStack, and GitHub orgs for assets and their changes over time.
NOTE: Security Monkey is in maintenance mode and will be end-of-life in 2020. For AWS users, please make use of AWS Config. For GCP users, please make
[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
Papers, Datasets, Algorithms, SOTA for STR. Long-time Maintaining
Scene Text Recognition Recommendations Everythin about Scene Text Recognition SOTA • Papers • Datasets • Code Contents 1. Papers 2. Datasets 2.1 Synth
An old time game Tic-Tac-toe
A Tic Tac Toe Bot This is the code repository for my article on Medium - Playing Games with Python - Tic Tac Toe, where I have tried to take the famou
Fast and Context-Aware Framework for Space-Time Video Super-Resolution (VCIP 2021)
Fast and Context-Aware Framework for Space-Time Video Super-Resolution Preparation Dependencies PyTorch 1.2.0 CUDA 10.0 DCNv2 cd model/DCNv2 bash make
Discord bot that displays the current Swatch Internet Time (.beat) as a status.
Internet-Time-Display Discord bot that displays the current Swatch Internet Time (.beat) as a status. Visit the website! Add the bot to your server! A
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
A time series processing library
Timeseria Timeseria is a time series processing library which aims at making it easy to handle time series data and to build statistical and machine l
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Intro Real-time object detection and classification. Paper: version 1, version 2. Read more about YOLO (in darknet) and download weight files here. In
Semi-Supervised Learning with Ladder Networks in Keras. Get 98% test accuracy on MNIST with just 100 labeled examples !
Semi-Supervised Learning with Ladder Networks in Keras This is an implementation of Ladder Network in Keras. Ladder network is a model for semi-superv
tensorflow implementation of 'YOLO : Real-Time Object Detection'
YOLO_tensorflow (Version 0.3, Last updated :2017.02.21) 1.Introduction This is tensorflow implementation of the YOLO:Real-Time Object Detection It can
Real-time object detection on Android using the YOLO network with TensorFlow
TensorFlow YOLO object detection on Android Source project android-yolo is the first implementation of YOLO for TensorFlow on an Android device. It is
Simple python crypto bot to trade crypto on Binance based on RSI. Utilizing web sockets to get real-time prices
Py Crypto Bot Using Binance WebSocket API to get real-time price data for cryptocurrencies. Using the TA-Lib library to calculate the RSI and execute
Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Time Using Noisy Proxies
Deconfounding Temporal Autoencoder (DTA) This is a repository for the paper "Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Tim
Royal Music You can play music and video at a time in vc
Royals-Music Royal Music You can play music and video at a time in vc Commands SOON String STRING_SESSION Deployment 🎖 Credits • 🇸ᴏᴍʏᴀ⃝🇯ᴇᴇᴛ • 🇴ғғɪ
Code for "Long-tailed Distribution Adaptation"
Long-tailed Distribution Adaptation (Accepted in ACM MM2021) This project is built upon BBN. Installation pip install -r requirements.txt Usage Traini
Contra is a lightweight, production ready Tensorflow alternative for solving time series prediction challenges with AI
Contra AI Engine A lightweight, production ready Tensorflow alternative developed by Styvio styvio.com » How to Use · Report Bug · Request Feature Tab
With Py-Autocrack you can crack WPA2 networks in no time.
With Py-Autocrack you can crack WPA2 networks in no time. All based on Aircrack-ng and Crunch.
Collatz Sanısını Test Eden Ve Kanıtlayan Bir Python Programı
Collatz Sanısı Collatz Sanısını Test Eden Ve Kanıtlayan Bir Python Programı. Kullanım Terminalde: 1- git clone https://github.com/detherminal/Collatz-
Scalable machine learning based time series forecasting
mlforecast Scalable machine learning based time series forecasting. Install PyPI pip install mlforecast Optional dependencies If you want more functio
Forecasting with Gradient Boosted Time Series Decomposition
ThymeBoost ThymeBoost combines time series decomposition with gradient boosting to provide a flexible mix-and-match time series framework for spicy fo
Visualize large time-series data in plotly
plotly_resampler enables visualizing large sequential data by adding resampling functionality to Plotly figures. In this Plotly-Resampler demo over 11
Randomisation-based inference in Python based on data resampling and permutation.
Randomisation-based inference in Python based on data resampling and permutation.
Time ranges with python
timeranges Time ranges. Read the Docs Installation pip timeranges is available on pip: pip install timeranges GitHub You can also install the latest v
An Integrated Experimental Platform for time series data anomaly detection.
Curve Sorry to tell contributors and users. We decided to archive the project temporarily due to the employee work plan of collaborators. There are no
Creating Templates and components so those can be reusable some time and makes workflow a lot easier!
TEMPLATES AND COMPONENTS IN ANY LANG! This is an Open Repository For Students to Contribute code in Hackoctoberfest in different Languages and Tech me
Python ts2vg package provides high-performance algorithm implementations to build visibility graphs from time series data.
ts2vg: Time series to visibility graphs The Python ts2vg package provides high-performance algorithm implementations to build visibility graphs from t
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
Object tracking and object detection is applied to track golf puts in real time and display stats/games.
Putting_Game Object tracking and object detection is applied to track golf puts in real time and display stats/games. Works best with the Perfect Prac
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
Time-series momentum for momentum investing strategy
Time-series-momentum Time-series momentum strategy. You can use the data_analysis.py file to find out the best trigger and window for a given asset an
Source code for "FastBERT: a Self-distilling BERT with Adaptive Inference Time".
FastBERT Source code for "FastBERT: a Self-distilling BERT with Adaptive Inference Time". Good News 2021/10/29 - Code: Code of FastPLM is released on
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
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
TensorFlow (Python) implementation of DeepTCN model for multivariate time series forecasting.
DeepTCN TensorFlow TensorFlow (Python) implementation of multivariate time series forecasting model introduced in Chen, Y., Kang, Y., Chen, Y., & Wang
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
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
Fast and robust clustering of point clouds generated with a Velodyne sensor.
Depth Clustering This is a fast and robust algorithm to segment point clouds taken with Velodyne sensor into objects. It works with all available Velo
Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series Classification
PPML-TSA This repository provides all code necessary to reproduce the results reported in our paper Evaluating Privacy-Preserving Machine Learning in
Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
Conformal time-series forecasting Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021. If you use our code in yo
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
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
Official implementation for TTT++: When Does Self-supervised Test-time Training Fail or Thrive
TTT++ This is an official implementation for TTT++: When Does Self-supervised Test-time Training Fail or Thrive? TL;DR: Online Feature Alignment + Str
Locally Most Powerful Bayesian Test for Out-of-Distribution Detection using Deep Generative Models
LMPBT Supplementary code for the Paper entitled ``Locally Most Powerful Bayesian Test for Out-of-Distribution Detection using Deep Generative Models"
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
A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms
MatrixProfile MatrixProfile is a Python 3 library, brought to you by the Matrix Profile Foundation, for mining time series data. The Matrix Profile is
Adjusting for Autocorrelated Errors in Neural Networks for Time Series
Adjusting for Autocorrelated Errors in Neural Networks for Time Series This repository is the official implementation of the paper "Adjusting for Auto
Long Expressive Memory (LEM)
Long Expressive Memory for Sequence Modeling This repository contains the implementation to reproduce the numerical experiments of the paper Long Expr
Real-time VIBE: Frame by Frame Inference of VIBE (Video Inference for Human Body Pose and Shape Estimation)
Real-time VIBE Inference VIBE frame-by-frame. Overview This is a frame-by-frame inference fork of VIBE at [https://github.com/mkocabas/VIBE]. Usage: i
tradingview socket api for fetching real time prices.
tradingView-API tradingview socket api for fetching real time prices. How to run git clone https://github.com/mohamadkhalaj/tradingView-API.git cd tra
Modern Denial-of-service ToolKit for python
💣 Impulse Modern Denial-of-service ToolKit 💻 Main window 📡 Methods: Method Target Description SMS PHONE Sends a massive amount of SMS messages and
A collection of software that serve no purpose other than waste your time. Forking is encouraged!
the-useless-collection A collection of software that serve no purpose other than waste your time. Forking is encouraged! Requires Python 3.9. Usage Go
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