358 Repositories
Python operations-research Libraries
Sionna: An Open-Source Library for Next-Generation Physical Layer Research
Sionna: An Open-Source Library for Next-Generation Physical Layer Research Sionna™ is an open-source Python library for link-level simulations of digi
Exploration & Research into cross-domain MEV. Initial focus on ETH/POLYGON.
xMEV, an apt exploration This is a small exploration on the xMEV opportunities between Polygon and Ethereum. It's a data analysis exercise on a few pa
On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification
Understanding Bayesian Classification This repository hosts the code to reproduce the results presented in the paper On Uncertainty, Tempering, and Da
Research on Tabular Deep Learning (Python package & papers)
Research on Tabular Deep Learning For paper implementations, see the section "Papers and projects". rtdl is a PyTorch-based package providing a user-f
Threat research and reporting from IronNet's Threat Research Teams
IronNet Threat Research 🕵️ Overview This repository contains IronNet's Threat Research. Research & Reporting 📝 Project Description Cobalt Strike Res
A python script that discovers hidden YouTube API clients. Just a research project.
YouTube-Internal-Clients A script that discovers hidden internal clients of the YouTube (Innertube) API using bruteforce methods. The script tries cli
This project aims to conduct a text information retrieval and text mining on medical research publication regarding Covid19 - treatments and vaccinations.
Project: Text Analysis - This project aims to conduct a text information retrieval and text mining on medical research publication regarding Covid19 -
Linear algebra python - Number of operations and problems in Linear Algebra and Numerical Linear Algebra
Linear algebra in python Number of operations and problems in Linear Algebra and
Nflmetrics - Johns Hopkins Spring 2022 Sports Analytics research project about NFL Draft Metrics
nflmetrics GitHub repo for Johns Hopkins Spring 2022 Sports Analytics research p
Collection of TensorFlow2 implementations of Generative Adversarial Network varieties presented in research papers.
TensorFlow2-GAN Collection of tf2.0 implementations of Generative Adversarial Network varieties presented in research papers. Model architectures will
This is my research project for the Irving Center for Cancer Dynamics/Azizi Lab, Columbia University.
bayesian_uncertainty This is my research project for the Irving Center for Cancer Dynamics/Azizi Lab, Columbia University. In this project I build a s
A particular navigation route using satellite feed and can help in toll operations & traffic managemen
How about adding some info that can quanitfy the stress on a particular navigation route using satellite feed and can help in toll operations & traffic management The current analysis is on the satellite image frame, but if we can add this info to a live feed it can help in developing smoother navigation systems based on real time traffic scenario
Reading list for research topics in Masked Image Modeling
awesome-MIM Reading list for research topics in Masked Image Modeling(MIM). We list the most popular methods for MIM, if I missed something, please su
hashily is a Python module that provides a variety of text decoding and encoding operations.
hashily is a python module that performs a variety of text decoding and encoding functions. It also various functions for encrypting and decrypting text using various ciphers.
This library is an abstraction for Splunk-related development, maintenance, or migration operations
This library is an abstraction for Splunk-related development, maintenance, or migration operations. It provides a single CLI or SDK to conveniently perform various operations such as managing a local development container, retrieving sample-data, building applications, comparing instances, managing knowledge objects and hopefully much more in the future.
A research of IT labor market based especially on hh.ru. Salaries, rate of technologies and etc.
hh_ru_research Проект реализован в учебных целях анализа рынка труда, в особенности по hh.ru Input data В качестве входных данных используются сериали
A simple but fully functional calculator that will take multiple operations.
Functional-Calculator A simple but fully functional calculator that will take multiple operations. Usage Run the following command through terminal: p
Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model
Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model About This repository contains the code to replicate the syn
Codebase to experiment with a hybrid Transformer that combines conditional sequence generation with regression
Regression Transformer Codebase to experiment with a hybrid Transformer that combines conditional sequence generation with regression . Development se
This repository contains numerical implementation for the paper Intertemporal Pricing under Reference Effects: Integrating Reference Effects and Consumer Heterogeneity.
This repository contains numerical implementation for the paper Intertemporal Pricing under Reference Effects: Integrating Reference Effects and Consumer Heterogeneity.
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
Welcome to AirSim AirSim is a simulator for drones, cars and more, built on Unreal Engine (we now also have an experimental Unity release). It is open
Torch-mutable-modules - Use in-place and assignment operations on PyTorch module parameters with support for autograd
Torch Mutable Modules Use in-place and assignment operations on PyTorch module p
Python script for crawling ResearchGate.net papers✨⭐️📎
ResearchGate Crawler Python script for crawling ResearchGate.net papers About the script This code start crawling process by urls in start.txt and giv
LabGraph is a a Python-first framework used to build sophisticated research systems with real-time streaming, graph API, and parallelism.
LabGraph is a a Python-first framework used to build sophisticated research systems with real-time streaming, graph API, and parallelism.
EVE-NG tools, A Utility to make operations with EVE-NG more friendly.
EVE-NG tools, A Utility to make operations with EVE-NG more friendly. Also it support different snapshot operations with same style as Libvirt/KVM
Research using python - Guide for development of research code (using Anaconda Python)
Guide for development of research code (using Anaconda Python) TL;DR: One time s
Template repository for managing machine learning research projects built with PyTorch-Lightning
Tutorial Repository with a minimal example for showing how to deploy training across various compute infrastructure.
The MLOps is the process of continuous integration and continuous delivery of Machine Learning artifacts as a software product, keeping it inside a loop of Design, Model Development and Operations.
MLOps The MLOps is the process of continuous integration and continuous delivery of Machine Learning artifacts as a software product, keeping it insid
FedML: A Research Library and Benchmark for Federated Machine Learning
FedML: A Research Library and Benchmark for Federated Machine Learning 📄 https://arxiv.org/abs/2007.13518 News 2021-02-01 (Award): #NeurIPS 2020# Fed
This repository contains the implementation of the HealthGen model, a generative model to synthesize realistic EHR time series data with missingness
HealthGen: Conditional EHR Time Series Generation This repository contains the implementation of the HealthGen model, a generative model to synthesize
Adaptable tools to make reinforcement learning and evolutionary computation algorithms.
Pearl The Parallel Evolutionary and Reinforcement Learning Library (Pearl) is a pytorch based package with the goal of being excellent for rapid proto
Audio Source Separation is the process of separating a mixture into isolated sounds from individual sources
Audio Source Separation is the process of separating a mixture into isolated sounds from individual sources (e.g. just the lead vocals).
Deep Learning to Improve Breast Cancer Detection on Screening Mammography
Shield: This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Deep Learning to Improve Breast
Google AI Open Images - Object Detection Track: Open Solution
Google AI Open Images - Object Detection Track: Open Solution This is an open solution to the Google AI Open Images - Object Detection Track 😃 More c
Image Classification - A research on image classification and auto insurance claim prediction, a systematic experiments on modeling techniques and approaches
A research on image classification and auto insurance claim prediction, a systematic experiments on modeling techniques and approaches
Quant & Systematic Crypto Research Tools
qsec Quant & Systematic Crypto Research Tools --WORK IN PROGRESS-- This repo is a collection of research tools to help in exploring and building sys
(Pre-)compromise operations for MITRE CALDERA
(Pre-)compromise operations for CALDERA Extend your CALDERA operations over the entire adversary killchain. In contrast to MITRE's access plugin, cald
Auto-researching tool generating word documents.
About ResearchTE automates researching by generating document with answers to given questions. Supports getting results from: Google DuckDuckGo (with
A sample pytorch Implementation of ACL 2021 research paper "Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction".
Span-ASTE-Pytorch This repository is a pytorch version that implements Ali's ACL 2021 research paper Learning Span-Level Interactions for Aspect Senti
Simple mathematical operations on image, point and surface layers.
napari-math This package provides a GUI interfrace for simple mathematical operations on image, point and surface layers. addition subtraction multipl
A computational optimization project towards the goal of gerrymandering the results of a hypothetical election in the UK.
A computational optimization project towards the goal of gerrymandering the results of a hypothetical election in the UK.
Research code of ICCV 2021 paper "Mesh Graphormer"
MeshGraphormer ✨ ✨ This is our research code of Mesh Graphormer. Mesh Graphormer is a new transformer-based method for human pose and mesh reconsructi
Python data processing, analysis, visualization, and data operations
Python This is a Python data processing, analysis, visualization and data operations of the source code warehouse, book ISBN: 9787115527592 Descriptio
Unofficial JAX implementations of Deep Learning models
JAX Models Table of Contents About The Project Getting Started Prerequisites Installation Usage Contributing License Contact About The Project The JAX
code for Grapadora research paper experimentation
Road feature embedding selection method Code for research paper experimentation Abstract Traffic forecasting models rely on data that needs to be sens
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Awesome production machine learning This repository contains a curated list of awesome open source libraries that will help you deploy, monitor, versi
Memoized coduals - Shows that it is possible to implement reverse mode autodiff using a variation on the dual numbers called the codual numbers
The dual numbers can do efficient autodiff! The codual numbers are a simple meth
The final project of "Applying AI to EHR Data" of "AI for Healthcare" nanodegree - Udacity.
Patient Selection for Diabetes Drug Testing Project Overview EHR data is becoming a key source of real-world evidence (RWE) for the pharmaceutical ind
Web-eyes - OSINT tools for website research
WEB-EYES V1.0 web-eyes: OSINT tools for website research, 14 research methods ar
MOOSE (Multi-organ objective segmentation) a data-centric AI solution that generates multilabel organ segmentations to facilitate systemic TB whole-person research
MOOSE (Multi-organ objective segmentation) a data-centric AI solution that generates multilabel organ segmentations to facilitate systemic TB whole-person research.The pipeline is based on nn-UNet and has the capability to segment 120 unique tissue classes from a whole-body 18F-FDG PET/CT image.
Food recognition model using convolutional neural network & computer vision
Food recognition model using convolutional neural network & computer vision. The goal is to match or beat the DeepFood Research Paper
CellRank's reproducibility repository.
CellRank's reproducibility repository We believe that reproducibility is key and have made it as simple as possible to reproduce our results. Please e
A small library of 3D related utilities used in my research.
utils3D A small library of 3D related utilities used in my research. Installation Install via GitHub pip install git+https://github.com/Steve-Tod/util
A Python Bytecode Disassembler helping reverse engineers in dissecting Python binaries
A Python Bytecode Disassembler helping reverse engineers in dissecting Python binaries by disassembling and analyzing the compiled python byte-code(.pyc) files across all python versions (including Python 3.10.*)
Designed a greedy algorithm based on Markov sequential decision-making process in MATLAB/Python to optimize using Gurobi solver
Designed a greedy algorithm based on Markov sequential decision-making process in MATLAB/Python to optimize using Gurobi solver, the wheel size, gear shifting sequence by modeling drivetrain constraints to achieve maximum laps in a race with a 2-hour time window.
🎁 3,000,000+ Unsplash images made available for research and machine learning
The Unsplash Dataset The Unsplash Dataset is made up of over 250,000+ contributing global photographers and data sourced from hundreds of millions of
People tracker on the Internet: OSINT analysis and research tool by Jose Pino
trape (stable) v2.0 People tracker on the Internet: Learn to track the world, to avoid being traced. Trape is an OSINT analysis and research tool, whi
FMA: A Dataset For Music Analysis
FMA: A Dataset For Music Analysis Michaël Defferrard, Kirell Benzi, Pierre Vandergheynst, Xavier Bresson. International Society for Music Information
Research into Forex price prediction from price history using Deep Sequence Modeling with Stacked LSTMs.
Forex Data Prediction via Recurrent Neural Network Deep Sequence Modeling Research Paper Our research paper can be viewed here Installation Clone the
Deep Learning for Time Series Classification
Deep Learning for Time Series Classification This is the companion repository for our paper titled "Deep learning for time series classification: a re
A simple flask application to collect annotations for the Turing Change Point Dataset, a benchmark dataset for change point detection algorithms
AnnotateChange Welcome to the repository of the "AnnotateChange" application. This application was created to collect annotations of time series data
The Turing Change Point Detection Benchmark: An Extensive Benchmark Evaluation of Change Point Detection Algorithms on real-world data
Turing Change Point Detection Benchmark Welcome to the repository for the Turing Change Point Detection Benchmark, a benchmark evaluation of change po
PyTorch EO aims to make Deep Learning for Earth Observation data easy and accessible to real-world cases and research alike.
Pytorch EO Deep Learning for Earth Observation applications and research. 🚧 This project is in early development, so bugs and breaking changes are ex
Reproducible research and reusable acyclic workflows in Python. Execute code on HPC systems as if you executed them on your personal computer!
Reproducible research and reusable acyclic workflows in Python. Execute code on HPC systems as if you executed them on your machine! Motivation Would
A curated list of the top 10 computer vision papers in 2021 with video demos, articles, code and paper reference.
The Top 10 Computer Vision Papers of 2021 The top 10 computer vision papers in 2021 with video demos, articles, code, and paper reference. While the w
MIMIC Code Repository: Code shared by the research community for the MIMIC-III database
MIMIC Code Repository The MIMIC Code Repository is intended to be a central hub for sharing, refining, and reusing code used for analysis of the MIMIC
Free and open source qualitative research tool
Taguette A spin on the phrase "tag it!", Taguette is a free and open source qualitative research tool that allows users to: Import PDFs, Word Docs (.d
A library for graph deep learning research
Documentation | Paper [JMLR] | Tutorials | Benchmarks | Examples DIG: Dive into Graphs is a turnkey library for graph deep learning research. Why DIG?
Pythonic particle-based (super-droplet) warm-rain/aqueous-chemistry cloud microphysics package with box, parcel & 1D/2D prescribed-flow examples in Python, Julia and Matlab
PySDM PySDM is a package for simulating the dynamics of population of particles. It is intended to serve as a building block for simulation systems mo
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Bayesian Neural Networks Pytorch implementations for the following approximate inference methods: Bayes by Backprop Bayes by Backprop + Local Reparame
A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.
Reinforcement-Learning-Notebooks A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented
Python package for multiple object tracking research with focus on laboratory animals tracking.
motutils is a Python package for multiple object tracking research with focus on laboratory animals tracking. Features loads: MOTChallenge CSV, sleap
Ov3 - Easy common OpenVPN3 operations
ov3 Easy common OpenVPN3 operations Install ov3 requires Python3 and OpenVPN3 to
RLMeta is a light-weight flexible framework for Distributed Reinforcement Learning Research.
RLMeta rlmeta - a flexible lightweight research framework for Distributed Reinforcement Learning based on PyTorch and moolib Installation To build fro
G-Research-Crypto-Competition - Project for passing the ML exam. Dataset took from the competition on the kaggle
G-Research-Crypto-Competition Project for passing the ML exam. Dataset took from
AmiEviL - This program uses the Virus Total API to determine if your suspicious file is malicious or not
AmiEviL - This program uses the Virus Total API to determine if your suspicious file is malicious or not. The program requests the hash of the file and outputs information (if any). This version will output: the file type, names seen in the wild, the number of security vendors that have flagged it as malicious, undetected, and unable to process the file.
Benchmark VAE - Library for Variational Autoencoder benchmarking
Documentation pythae This library implements some of the most common (Variational) Autoencoder models. In particular it provides the possibility to pe
MLR - Machine Learning Research
Machine Learning Research 1. Project Topic 1.1. Exsiting research Benmark: https://paperswithcode.com/sota ACL anthology for NLP papers: http://www.ac
Research - dataset and code for 2016 paper Learning a Driving Simulator
the people's comma the paper Learning a Driving Simulator the comma.ai driving dataset 7 and a quarter hours of largely highway driving. Enough to tra
Imutils - A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.
imutils A series of convenience functions to make basic image processing functions such as translation, rotation, resizing, skeletonization, and displ
PySOT - SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.
PySOT is a software system designed by SenseTime Video Intelligence Research team. It implements state-of-the-art single object tracking algorit
Spin-off Notice: the modules and functions used by our research notebooks have been refactored into another repository
Fecon235 - Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
PyTorch Lightning + Hydra. A feature-rich template for rapid, scalable and reproducible ML experimentation with best practices. ⚡🔥⚡
Lightning-Hydra-Template A clean and scalable template to kickstart your deep learning project 🚀 ⚡ 🔥 Click on Use this template to initialize new re
tree-math: mathematical operations for JAX pytrees
tree-math: mathematical operations for JAX pytrees tree-math makes it easy to implement numerical algorithms that work on JAX pytrees, such as iterati
Scientific measurement library for instruments, experiments, and live-plotting
PyMeasure scientific package PyMeasure makes scientific measurements easy to set up and run. The package contains a repository of instrument classes a
MetaMove is written in Python3 and aims at easing batch renaming operations based on file meta data.
MetaMove MetaMove is written in Python3 and aims at easing batch renaming operations based on file meta data. MetaMove abuses eval combined with f-str
A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
2021: A Year Full of Amazing AI papers- A Review 📌 A curated list of the latest breakthroughs in AI by release date with a clear video explanation, l
This app displays interesting statistical weather records and trends which can be used in climate related research including study of global warming.
This app displays interesting statistical weather records and trends which can be used in climate related research including study of global warming.
Various operations like path tracking, counting, etc by using yolov5
Object-tracing-with-YOLOv5 Various operations like path tracking, counting, etc by using yolov5
Pythonic Crawling / Scraping Framework based on Non Blocking I/O operations.
Pythonic Crawling / Scraping Framework Built on Eventlet Features High Speed WebCrawler built on Eventlet. Supports relational databases engines like
Neptune client library - integrate your Python scripts with Neptune
Lightweight experiment tracking tool for AI/ML individuals and teams. Fits any workflow. Neptune is a lightweight experiment logging/tracking tool tha
PatZilla is a modular patent information research platform and data integration toolkit with a modern user interface and access to multiple data sources.
PatZilla is a modular patent information research platform and data integration toolkit with a modern user interface and access to multiple data sources.
Versatile async-friendly library to retry failed operations with configurable backoff strategies
riprova riprova (meaning retry in Italian) is a small, general-purpose and versatile Python library that provides retry mechanisms with multiple backo
A research into mail services used by different business sectors.
A research into mail services used by different business sectors. Data, scripts and results available.
Historical battle simulation package for Python
Jomini v0.1.4 Jomini creates military simulations by using mathematical combat models. Designed to be helpful for game developers, students, history e
Python implementation of the multistate Bennett acceptance ratio (MBAR)
pymbar Python implementation of the multistate Bennett acceptance ratio (MBAR) method for estimating expectations and free energy differences from equ
Cisco IOS-XE Operations Program. Shows operational data using restconf and yang
XE-Ops View operational and config data from devices running Cisco IOS-XE software. NoteS The build folder is the latest build. All other files are fo
Abstraction of a Unit, includes convertions and basic operations.
Units Abstraction of a Unit, includes convertions and basic operations. ------ EXAMPLE : Free Fall (No air resistance) ------- from units_test import
RLHive: a framework designed to facilitate research in reinforcement learning.
RLHive is a framework designed to facilitate research in reinforcement learning. It provides the components necessary to run a full RL experiment, for both single agent and multi agent environments. It is designed to be readable and easily extensible, to allow users to quickly run and experiment with their own ideas.
Some bravo or inspiring research works on the topic of curriculum learning.
Awesome Curriculum Learning Some bravo or inspiring research works on the topic of curriculum learning. A curated list of awesome Curriculum Learning