Stars
A library of extension and helper modules for Python's data analysis and machine learning libraries.
Documentation behind the model used to analyse companies in Simply Wall St
Best Practices on Recommendation Systems
Very simple flow-based programming framework.
List of tech startups in South Korea. (Republic of Korea)
Accelerate your web app development | Build fast. Run fast.
Official Code for "Non-deep Networks"
distfit is a python library for probability density fitting.
A simple toolkit to process TREC files in Python.
PyTorch Implementation of "Non-Autoregressive Neural Machine Translation"
Parallelformers: An Efficient Model Parallelization Toolkit for Deployment
An opinionated guide for writing clean, maintainable SQL.
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Creative Coding: Generative Art, Data visualization, Interaction Design, Resources.
📝 An awesome Data Science repository to learn and apply for real world problems.
Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)
Pretty-print tabular data in Python, a library and a command-line utility. Repository migrated from bitbucket.org/astanin/python-tabulate.
A powerful caching library for Python, with TTL support and multiple algorithm options.
Benchmarks of approximate nearest neighbor libraries in Python
Python bindings for Notion Database API
Code for sampling from a gaussian mixture model an visualizing it (for a medium article)
Extra resources for Tweag's blog posts.
PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
Interactive Markov-chain Monte Carlo Javascript demos
This repository contains implementations and illustrative code to accompany DeepMind publications
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference