Prepping tables for machine learning

Visualize decision trees in Python

Python library for portfolio optimization built on top of scikit-learn

David Attenborough narrates your life

Model summary in PyTorch similar to `model.summary()` in Keras

Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, Du…

[IJCV2024] Exploiting Diffusion Prior for Real-World Image Super-Resolution

A library for audio and music analysis, feature extraction.

The ultimate set of SQLite extensions

A curated list of Polars talks, tools, examples & articles. Contributions welcome !

Curated list of Go design patterns, recipes and idioms

A playbook for systematically maximizing the performance of deep learning models.

An open source alternative to Tableau. Embeddable visual analytic

Survival analysis built on top of scikit-learn

Implementation of Hinton's forward-forward (FF) algorithm - an alternative to back-propagation

High-Resolution Image Synthesis with Latent Diffusion Models

Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

A Python package to make publication-ready but customizable coefficient plots.

JAX-based neural network library

Flax is a neural network library for JAX that is designed for flexibility.

Praat in Python, the Pythonic way

A Python Interpreter written in Rust

💫 Industrial-strength Natural Language Processing (NLP) in Python

NLTK Source

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

Python package for stacking (machine learning technique)

A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.

The simplest no-nonsense progress bar for python

A Python library for downloading datasets from Kaggle, Google Drive, and other online sources.

Lightning ⚡️ fast forecasting with statistical and econometric models.