Linear Algebra provides AI-assisted learning, courses, tutorials, or study support.
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Linear Digressions provides machine-learning models, research, training resources, or evaluation tools.
Deploy a ML inference service on a budget in less than 10 lines of code.
Layer - Neural network inference from the command line, implemented in.
Train and run a computer vision model with 5-10 lines of code.
Face recognition library that recognizes and manipulates faces from Python or from the command line.
Testing framework dedicated to ML models, from tabular to LLMs. Detect risks of biases, performance issues and errors in 4 lines of code.
AI code reviewer for GitHub Actions or local use, compatible with any LLM and integrated with Jira/Linear.
Generalized linear models in Julia.
Package mat provides implementations of float64 and complex128 matrix structures and linear algebra operations on them.
Library for doing GPR (Gaussian Process Regression) in OCaml. Comes with a command line application.
AI coding assistant offering line-of-code completions and documentation.
Neural network inference from the command line, implemented in CHICKEN Scheme.
LLM App is a Python library that helps you build real-time AI-powered data pipelines with few lines of code.
Distributed linear algebra framework and mathematically expressive Scala DSL.
The Multi-Agent Framework: Given one line requirement, return PRD, design, tasks, repo.
The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo.
A simple Machine Learning Framework written in Swift. Currently features Simple Linear Regression, Polynomial Regression, and Ridge Regression.
No need to keep checking your training, just one import line and you'll know the second it's done.
Speed up your Pandas workflows by changing a single line of code.
Ultra-lightweight personal AI assistant framework (~4,000 lines of Python). Supports MCP, 9+ chat channels, and extensible skills system.
Nn builder is a python package that lets you build neural networks in 1 line.
Serve Llama 2 and other large language models locally from command line or through a browser interface.
A low-level Linear Regression Engine utilizing the Ordinary Least Squares (OLS) method and QR decomposition.