qchecker
A library intended to identify semantically meaningful micro-antipatterns in student code
rafmetrics
Metrics for evaluating the performance and complexity of computer programs
pytextureanalysis
PyTextureAnalysis is a Python package for analyzing the texture of images. It includes functions for calculating local orientation, degree of coherence, and structure tensor of an image. This package is built using NumPy, SciPy and OpenCV.
stanford-hypoglycemia-forecasting
A machine learning model for week-ahead hypoglycemia prediction from continuous glucose monitoring data.
https://github.com/czs108/microsoft-malware-classification
🔍 "2015 Microsoft Malware Classification Challenge" - Using machine learning to classify malware into different families based on Windows PE structures, disassembly scripts and machine code.
futurecoord
Model-based AI approach for network and service coordination leveraging uncertain traffic forecasts
amep
The Active Matter Evaluation Package (AMEP) - a Python library for the analysis of particle-based and continuum simulation data of soft and active matter systems
motor_fault_detection_brb
Motor fault detection with ML using SVM, GBM, and ANN.
github-crawler
The GitHub Crawler is a Python-based project that utilizes the GitHub API to fetch and crawl data related to commits and pull requests from various repositories. It's a tool designed for developers who want to analyze the activity in a GitHub repository. The crawler can fetch data about commits, pull requests, pull commits, pull files, pull reviews
dsgrid
Python package for working with demand-side grid projects, datasets and queries
signed-local-community
[WebConf 2020] Searching for polarization in signed graphs: a local spectral approach
fast-dawid-skene
Code for the algorithms in the paper: Vaibhav B Sinha, Sukrut Rao, Vineeth N Balasubramanian. Fast Dawid-Skene: A Fast Vote Aggregation Scheme for Sentiment Classification. KDD WISDOM 2018
geordpy
GeoRDPy is a Python library that simplifies geodetic-coordinate polylines using the Ramer-Douglas-Peucker algorithm. It reduces the number of points while preserving accuracy, making it ideal for optimizing geospatial data representations. Specify a threshold for error tolerance and choose a sphere radius for tailored simplification.
ocean-data-map-project
The Ocean Navigator is an online tool that is used to help visualise scientific research data. a users guide is available at https://dfo-ocean-navigator.github.io/Ocean-Navigator-Manual/ and the tool is live at
https://github.com/0xibra/linux-tower
Web interface for application monitoring and management like apache2/nginx/certbot and log alerting.
tropess-notes
A practical guide to using TROPESS data products. Delivered as Jupyter Notebooks in Python
https://github.com/aryadhruv/llmworkbook
LLMWorkbook is a Python package that integrates Large Language Models (LLMs) with tabular datatypes - workbooks and dataframes for seamless data analysis and automation.
https://github.com/1587causalai/causal-sklearn
Scikit-learn Compatible Causal Machine Learning Library - Based on CausalEngine™
mwydyn
A fully-automated, multiple velocity component, hyperfine line fitting code.
gufo-traceroute
Gufo Traceroute is the Python asyncio IPv4 traceroute implementation.
speadi
A Python package that aims to characterise the dynamics of local chemical environments from Molecular Dynamics trajectories of proteins and other biomolecules. Public mirror of https://gitlab.jsc.fz-juelich.de/slbio/speadi.
2021-paper-jupyter-reproducible-workflows
Using Jupyter for reproducible scientific workflows
https://github.com/boddusripavan-111/kitikiplot
KitikiPlot A Python library to visualize categorical sliding window data
2uml
A user-friendly tool that generates UMLs starting from natural language inputs.
apicenter
apicenter - Alish Chhetri's senior thesis project, Allegheny College, 2024-2025
https://github.com/exabyte-io/api-examples
Example usage of Exabyte.io platform through its RESTful API: programmatically create materials and modeling workflows, execute simulations on the cloud, analyze data and build machine learning models
stockpy-learn
Deep Learning Regression and Classification Library built on top of PyTorch and Pyro
algdiff
AlgDiff is a Python class implementing all necessary tools for the design, analysis, and discretization of algebraic differentiators. An interface to Matlab is also provided.
stars-reproduce-hernandez-2015
Assessing the computational reproducibility of Hernandez et al. 2015 as part of STARS.
stars-reproduce-lim-2020
Assessing the computational reproducibility of Lim et al. 2020 as part of STARS.
face-recognition-system
The purpose of the attendance monitoring system using face recognition is to ease the attendance process which consumes lot of time and efforts; it is a convenient and easy way for students and teacher. The system will capture the images of the students and using face recognition algorithm mark the attendance in the sheet.
https://github.com/asabeneh/30-days-of-python
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
https://github.com/yandex-research/rtdl-revisiting-models
(NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data
mlcolvar
A unified framework for machine learning collective variables for enhanced sampling simulations
https://github.com/sun-data/regridding
Numba-accelerated interpolation of NumPy n-dimensional arrays.
https://github.com/stewori/jyni
Enables Jython to load native CPython extensions.
https://github.com/dhaase-de/dito
Yet another toolbox for the daily work with OpenCV under Python.
https://github.com/jorenham/optype
Opinionated typing package for precise type hints in Python
https://github.com/scimorph/secureml
Easy-to-use utilities to build privacy-preserving AI.
https://github.com/hansalemaos/locate_pixelcolor_cpp
Locate RGB values in a picture! Up to 10x faster than NumPy, 100x faster than PIL.
nbody
Repo for my coursework for PHYS281 Scientific Programming and Modelling. A Library to simulate the interaction of solid bodies in 3D, and be able to graphically display motion or output in multiple forms. Integrates JPLHorizons data to be able to use in simulation.
https://github.com/ivorforce/python-arrayclass
A python class decorator similar to dataclass that uses a contiguous numpy array to store values.
developmentaldemo
Tutorial for developmental data with spectral parameterization.
surrogates-tutorial
What and How of Machine Learning Transparency – ECML-PKDD 2020 Hands-on Tutorial
hbb_interaction_network
FAIR AI model (interaction network) for identifying H(bb) jets at the LHC
ferramentas_scielo_v2
Esse repositório é parte dos projetos desenvolvidos pelos membros do LABHDUFBA e tem como objetivo oferecer ferramentas de raspagem, organização e análise de artigos ciêntíficos publicados na plataforma Scielo.br.
mapper-pipeline
Identifying homogeneous subgroups of patients and important features: a topological machine learning approach
adversarial-patch-training
Code for the paper: Adversarial Training Against Location-Optimized Adversarial Patches. ECCV-W 2020.
legiscrawler
An automation webcrawler based on Selenium library for retrieving parliamentary questions on The Website of Taiwan Legislative Yuan (https://lis.ly.gov.tw/). 🕸️ 🕸️ 爬立法委員問政專輯的爬蟲小幫手 🛠️🧰
precooltool
an online web application that enables you simulate solar pre-cooling for a range of exsiting buildings in Australian building stock.
movie-recommendation-chatbot
Movie Recommendation Chatbot provides information about a movie like plot, genre, revenue, budget, imdb rating, imdb links, etc. The model was trained with Kaggle’s movies metadata dataset. To give a recommendation of similar movies, Cosine Similarity and TFID vectorizer were used. Slack API was used to provide a Front End for the chatbot. IBM Watson was used to link the Python code for Natural Language Processing with the front end hosted on Slack API. Libraries like nltk, sklearn, pandas and nlp were used to perform Natural Language Processing and cater to user queries and responses.
interactive-dashboards
A project showcasing how to create interactive Tableau dashboards using global COVID-19 data. The repository includes data preprocessing, merging, and visualization creation using Python and Tableau, offering insights into vaccination progress and COVID-19 impact by country.
epds_ez
This project has been realized in the framework of the 90154 - Electronic Publishing and Digital Storytelling course taught by Prof. Marilena Daquino for the 2nd year DHDK Master Degree a.a. 2021-22. It visualizes some characteristics of the Partizione Antica of the Supino photographic Archival fund that has been analysed using both structured meta
https://github.com/acclab/dabest-python
Data Analysis with Bootstrapped ESTimation
machine-learning-novice-sklearn
A Carpentry style lesson on machine learning with Python and scikit-learn.
heterogeneous-multi-agent-systems
Research project about heterogeneous multi-agent systems.
sqs_substitution_tool
Python tool for random atomic substitution and SQS generation in MOF-like frameworks
https://github.com/actinia-org/actinia-statistic-plugin
This actinia plugin is designed for computing raster map and raster-time-series statistics for categorical and continuous data
amuse
Astrophysical Multipurpose Software Environment. This is the main repository for AMUSE
fhir-pyrate
FHIR-PYrate is a package that provides a high-level API to query FHIR Servers for bundles of resources and return the structured information as pandas DataFrames. It can also be used to filter resources using RegEx and SpaCy and download DICOM studies and series.
https://github.com/adamouization/code-in-place-2023
My slides and code solutions for the 2023 edition of the Stanford Code in Place online course.
https://github.com/adamouization/formula1-crash-stats
:car: :collision: :car: Flask web application parsing F1 DNF stats from Wikipedia and visualising them in charts and tables.
https://github.com/adamouization/python-machine-learning-data-science-notes
:orange_book: Jupyter notebooks containing useful Python code and notes for general Machine Learning and Data Science projects.