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Uncertainty quantification with PyTorch
Open-source framework for uncertainty and deep learning models in PyTorch 🌱
A public repository collecting links to state of the art QA and evaluation sets for various ML and LLM applications
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Website containing illustrations about Machine Learning theory!
Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning
💻 A better and friendly vi(vim) mode plugin for ZSH.
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
Deploy Dask on job schedulers like PBS, SLURM, and SGE
🎨 A succinct matplotlib wrapper for making beautiful, publication-quality graphics
A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.
🏆 A ranked list of awesome atomistic machine learning projects ⚛️🧬💎.
Notebooks about Bayesian methods for machine learning
High-quality implementations of standard and SOTA methods on a variety of tasks.
Materials Learning Algorithms. A framework for machine learning materials properties from first-principles data.
An implementation of chunked, compressed, N-dimensional arrays for Python.
A cross-platform, OpenGL terminal emulator.
An extremely fast Python linter and code formatter, written in Rust.
Check syntax in Vim/Neovim asynchronously and fix files, with Language Server Protocol (LSP) support
Perl script to add indentation (leading horizontal space) to LaTeX files. It can modify line breaks before, during and after code blocks; it can perform text wrapping and paragraph line break remov…
A simple and flexible code for Reservoir Computing architectures like Echo State Networks