Data Science
Showing 36 of 625 projects
An open-source solution for the Google AI Open Images Object Detection Challenge, providing a RetinaNet-based benchmark with experiment tracking.
A Go library for concurrent processing that returns output in the same order as the input via channels.
A simple JavaScript implementation of the k-means clustering algorithm for both Node.js and browser environments.
A Python library providing tools to process and analyze OMOP-standardized clinical data from AP-HP's Clinical Data Warehouse.
A personal data science and machine learning website built with Quarto, tidyverse, and tidymodels.
Machine learning model that predicts whether Stack Overflow questions will be closed based on their content and metadata.
A Gremlin query language kernel for IPython and Jupyter notebooks, enabling graph database interactions.
An open-source machine learning solution for the Santander Value Prediction Challenge on Kaggle.
A collection of resources and examples for learning fundamental machine learning techniques and algorithms.
OCaml bindings for Python's scikit-learn machine learning library.
A comprehensive Go library implementing various entropy measures for discrete and continuous state spaces.
A curated list of awesome Keras projects, libraries, and resources for deep learning.
An R package to estimate public transport vehicle emissions using GTFS data and fleet characteristics.
A Docker-based starter kit providing pre-configured Jupyter notebook environments for machine learning with TensorFlow, PyTorch, and essential libraries.
A curated F# data science stack providing an out-of-the-box solution similar to tidyverse or SciPy for .NET.
Presentation slides from the useR 2022 conference talk about the untold story of the palmerpenguins dataset.
A pure Go library for reading and writing HDF5 files without CGo dependencies, featuring HDF5 2.0.0 compatibility.
A Python wrapper for D3xter that renders interactive charts in the browser with simple Python syntax.
A JavaScript library implementing clustering algorithms for both Node.js and browser environments.
A high-level linter and static analyzer for Python data science code that detects potential issues like data leakage and non-reproducibility.
A flexible AutoML library for Python that automates model selection and hyperparameter tuning for regression and classification tasks.
Convert Observable HQ notebooks into Quarto projects, preserving content and file attachments.
A curated collection of neuroscience, data science, and open science resources, tools, and AI productivity aids for researchers.
A JupyterLab extension for managing GPU environments, enabling interactive control and monitoring of GPU resources for notebooks.
A workflow engine that unifies feature engineering and machine learning using a column-oriented data processing paradigm.
MiraiML: asynchronous, autonomous and continuous Machine Learning in Python
A curated collection of transformers to accelerate and enhance machine learning experimentation with the Steppy library.
A Go library providing comprehensive statistical functions for machine learning and data analysis.
A Swift library for high-performance numerical computing and matrix operations on Apple platforms.
A Jupyter Notebook extension for managing and optimizing Python dependencies directly within notebooks.
Quarto is an open-source scientific and technical publishing system for creating documents with R, Python, Julia, and Observable.
Ruby bindings for XGBoost, enabling machine learning model inference in Ruby applications.
A Crystal library for building Markov Chains and running Markov Processes.
R package providing a seamless interface to call Octave and MATLAB code from R.
Provides parsnip model wrappers for H2O machine learning algorithms, enabling integration with the tidymodels ecosystem.
A Jupyter/Node.js demo for visualizing network graphs using NetworkX and Sigma.js.
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