A small Python module for determining appropriate platform-specific dirs, e.g. a "user data dir".

NeoVim lua plugin that annotates source code with profiling information from perf or other profilers

HPO tool with a modular API that allows for the easy interfacing of a new Optimizer and a new Benchmark

PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

Launching and monitoring Slurm experiments in Python

In-context Bayesian Optimization

Plugin to convert GitHub-style admonitions to `mkdocs-material`-style admonitions when building docs.

The Mighty cRL library you've been looking for! 💪

Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.

Python library to compress LitGPT models for resource efficient inference.

Terminal UI to chat with large language models (LLM) using different model backends, and integrations with your favourite editors!

Domain specific language for configuration spaces in Python. Useful for hyperparameter optimization and algorithm configuration.

A Rust crate for cooking up terminal user interfaces (TUIs) 👨‍🍳🐀 https://ratatui.rs

This is the lua implementation of nvim-hlchunk, you can use this neovim plugin to highlight your indent line and the current chunk (context) your cursor stayed

🦀 Supercharge your Rust experience in Neovim! A heavily modified fork of rust-tools.nvim

Sampling profiler for Python programs

Chat with GitHub Copilot in Neovim

🤖 Just a command runner

Establish good command workflow and quit bad habit

Tabular Deep Learning Library for PyTorch

A generalist Python node editor

The SQL IDE for Your Terminal.

Next Generation Visual Programming System

CLS-Luigi is an innovative pipeline tool designed to streamline the creation and execution of algorithmic pipelines by harnessing the power of combinatory logic.

An elegant PyTorch deep reinforcement learning library.

A build-it-yourself AutoML Framework

A collection of multi-fidelity benchmarks with first class support for user priors

Fast and Accurate ML in 3 Lines of Code

A method to quickly estimate the number of pruned subgroups that a subgroup discovery algorithm needs to evaluate.