Data Science
Showing 36 of 624 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 personal data science and machine learning website built with Quarto, tidyverse, and tidymodels.
A Python library providing tools to process and analyze OMOP-standardized clinical data from AP-HP's Clinical Data Warehouse.
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.
A curated list of awesome Keras projects, libraries, and resources for deep learning.
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 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.
An R package to estimate public transport vehicle emissions using GTFS data and fleet characteristics.
Presentation slides from the useR 2022 conference talk about the untold story of the palmerpenguins dataset.
A high-level linter and static analyzer for Python data science code that detects potential issues like data leakage and non-reproducibility.
A JavaScript library implementing clustering algorithms for both Node.js and browser environments.
A Python wrapper for D3xter that renders interactive charts in the browser with simple Python syntax.
Convert Observable HQ notebooks into Quarto projects, preserving content and file attachments.
A flexible AutoML library for Python that automates model selection and hyperparameter tuning for regression and classification tasks.
A pure Go library for reading and writing HDF5 files without CGo dependencies, featuring HDF5 2.0.0 compatibility.
MiraiML: asynchronous, autonomous and continuous Machine Learning in Python
A workflow engine that unifies feature engineering and machine learning using a column-oriented data processing paradigm.
A JupyterLab extension for managing GPU environments, enabling interactive control and monitoring of GPU resources for notebooks.
A curated collection of neuroscience, data science, and open science resources, tools, and AI productivity aids for researchers.
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 Jupyter Notebook extension for managing and optimizing Python dependencies directly within notebooks.
A Swift library for high-performance numerical computing and matrix operations on Apple platforms.
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.
Provides parsnip model wrappers for H2O machine learning algorithms, enabling integration with the tidymodels ecosystem.
R package providing a seamless interface to call Octave and MATLAB code from R.
A Jupyter/Node.js demo for visualizing network graphs using NetworkX and Sigma.js.
A collection of slides and materials for talks on Jupyter, Vega, and data science tools.
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