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Lightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration in scientific machine learning (SciML)
Braincraft challenge — 1000 neurons, 100 seconds, 10 runs, 2 choices, no reward
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Ubuntu, Alpine, Arch, and Fedora based Webtop images, Linux in a web browser supporting popular desktop environments.
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputatio…
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
Makie topo plot recipes, for neuro-science, geo plots and anyone needing surface plots from unstructured data
rstanarm R package for Bayesian applied regression modeling
English-Japanese Dictionary data (Public Domain) EJDict-hand
This is the development home of the workflow management system Snakemake. For general information, see
😎 Curated list of awesome software for numerical analysis and scientific computing
Low-Level Programming Roadmap and Resources
A comprehensive collection of cheatsheets for reverse engineering, binary analysis, and assembly programming tools. This repository serves as a one-stop reference for security researchers, reverse …
Simple and easily configurable grid world environments for reinforcement learning
An algebraic spin on grammar-of-graphics data visualization in Julia. Powered by the Makie.jl plotting ecosystem.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
Time series forecasting with PyTorch
Python library for causal inference and probabilistic modeling.
Explanatory Model Analysis. Explore, Explain and Examine Predictive Models
MRtrix3 provides a set of tools to perform various advanced diffusion MRI analyses, including constrained spherical deconvolution (CSD), probabilistic tractography, track-density imaging, and appar…
"rsync for cloud storage" - Google Drive, S3, Dropbox, Backblaze B2, One Drive, Swift, Hubic, Wasabi, Google Cloud Storage, Azure Blob, Azure Files, Yandex Files