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We write your reusable computer vision tools. 💜

Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

Postgres with GPUs for ML/AI apps.

🍊 :bar_chart: :bulb: Orange: Interactive data analysis

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

Deep neural network to extract intelligent information from invoice documents.

An open source library and framework for deep learning on satellite and aerial imagery.

A Julia machine learning framework

Python AutoML for Trading Systems and Sports Betting

a standard filetree for /r/datacurator [ and r/datahoarder ]

ThunderSVM: A Fast SVM Library on GPUs and CPUs

MLBox is a powerful Automated Machine Learning python library.

A scikit-learn based module for multi-label et. al. classification

A curated list of all machine learning algorithms and deep learning algorithms grouped by category.

Crop/Weed Field Image Dataset

The first realistic and public dataset with rare undesirable real events in oil wells.

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.

Machine Learning & Data Mining with JRuby

The missing cognitive primitive for AI agents. Decompose any text into classified semantic units — authority, risk, attention, entities. No LLM. Deterministic.