Julia package for Regularized Discriminant Analysis.
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A data orchestrator for machine learning, analytics, and ETL.
Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation.
Very simple implementation of neural networks for dummies in python without using any libraries, with detailed comments.
Machine Learning framework for rapid development of Machine Learning and Statistical applications.
Decompiler Explorer is a GitHub repository or organization with source code, releases, documentation, or project resources.
A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.
An open source machine learning framework in Rust Δ.
Train and run a computer vision model with 5-10 lines of code.
Open source Discord OSINT resource for researching servers, users, and platform clues.
DnD-Books is a GitHub repository or organization with source code, releases, documentation, or project resources.
A fast and multi-purpose DNS toolkit from ProjectDiscovery for running DNS probes, resolving records and filtering DNS responses.
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform.
Many useful features that aren't part of the main nn package.
Python library for scalable Bayesian optimisation.
Drone Logbook is a GitHub repository or organization with source code, releases, documentation, or project resources.
Reading Wikipedia to answer open-domain questions.
High performance library for time series distances (DTW) and time series clustering.
Design and Deploy Large Language Model Apps.
Python library for experiment metrics logging into simply formatted local files.
An evolutionary optimization library.
E-commerce skills for AI agents — product research, marketing automation, supply chain optimization, and business analytics for online sellers across Amazon, Shopify, Etsy, TikTok Shop, and all platforms.
Python package which helps to debug machine learning classifiers and explain their predictions.
A simple and functional machine learning library written in Elixir.