Python library for data-centric AI and machine learning with messy, real-world data and labels.
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Optimization library focused on machine learning, pythonic implementations of gradient descent, LBFGS, rmsprop, adadelta and others.
A machine learning library for Clojure built on top of Weka and friends.
Open-source library for implementing CI/CD in machine learning projects.
Curated list of awesome vector search framework/engine, library, cloud service and research papers to vector similarity search.
D3py - A plotting library for Python, based on.
An open-source JavaScript visualization library that streamlines the creation of beautiful and accessible SVG data visualizations.
A plotting library for Python, based on D3.js.
Very simple implementation of neural networks for dummies in python without using any libraries, with detailed comments.
A library to compare Pandas, Polars, and Spark data frames. It provides stats and lets users adjust for match accuracy.
Library for working with tabular data in Julia.
A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.
A fast Clojure Tensor & Deep Learning library.
Conversational AI library with many pre-trained Russian NLP models.
Deep learning optimization library that makes distributed training easy, efficient, and effective.
A Python library to remove unwanted pseudo-text from images generated by your favorite generative AI models (Stable Diffusion, Midjourney, DALL·E).
A deep learning-based translation library between 50 languages, built with transformers.
Library of SAS Enterprise Miner process flow diagrams to help you learn by example about specific data mining topics.
A lightweight Python library for building execution pipelines with retry, parallel execution, cron scheduling, and async support.
Analyzes structured data and helps produce queries, insights or visualizations.
Python library for scalable Bayesian optimisation.
High performance library for time series distances (DTW) and time series clustering.
Python library for decision tree visualization and model interpretation.
Python library for experiment metrics logging into simply formatted local files.