An awesome list of resources for specific science, technology, engineering, art, and math (STEAM) classes that students and teachers can use to supplement their learning
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An awesome list of resources for specific science, technology, engineering, art, and math (STEAM) classes that students and teachers can use to supplement their learning
The Geospatial Neighborhood Analysis Package
A pure Python implementation of Apache Spark's RDD and DStream interfaces.
High-assurance AI data visualization IDE & analytics workbench. Natural language to charts with local ground-truth table verification.
The foundational library of the Morpheus data science framework
Python-based implementations of algorithms for learning on imbalanced data.
Materials for GWU DNSC 6279 and DNSC 6290.
Automated 3D cell detection in very large images
A fast xgboost feature selection algorithm
Deep and Machine Learning for Microscopy
A community-curated knowledge hub and catalog for computer science, cybersecurity & software engineering books
BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.
PyTorch Connectomics: segmentation toolbox for EM connectomics
Solutions to In-Class questions, Problem Sets and Exams of MIT Mathematics for Computer Science 2015 (same as 2019 Open Learning Library)
Expertiza is a web application through which students can submit and peer-review learning objects (articles, code, web sites, etc). The Expertiza project is supported by the National Science Foundation.
scPerturb: A resource and a python/R tool for single-cell perturbation data
A Python interface to access neuroanatomical atlases
ChemML is a machine learning and informatics program suite for the chemical and materials sciences.
PocketStrike is a privacy-first mobile AI workstation. It combines zero-cloud native on-device GGUF inference (ARM NEON accelerated) │ with frontier cloud LLMs, multi-step ReAct agent tools, Model Context Protocol (MCP) servers, self-evolving cross-session memory, and FLUX neural image │ generation.
CLI utility and Python module for analyzing log files and other data.
A mode to facilitate interactive data visualization using Vega from within emacs
Automated 3D brain registration with support for multiple species and atlases.
Fighting for Open Science with Open Data
Data visualisation web components for the life sciences.