Stars
The open-source managed agents platform. Turn coding agents into real teammates — assign tasks, track progress, compound skills.
A native lightweight macOS Markdown viewer
A simple and flexible deep learning framework based on PyTorch and YAML configuration files.
postgres-plr / plr
Forked from jconway/plr-originalPL/R - R Procedural Language for PostgreSQL
DSPy: The framework for programming—not prompting—language models
Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.
Python API for Devonthink 3 utilizes AppleScript (JXA) and PyObjC.
Collection of Python Scripts written for Pythonista iOS App
WebUI extension for ControlNet
Port of OpenAI's Whisper model in C/C++
Rich is a Python library for rich text and beautiful formatting in the terminal.
Detects faces using the Vision-API and runs the extracted face through a CoreML-model to identiy the specific persons.
A camera designed in Swift for easily integrating CoreML models - as well as image streaming, QR/Barcode detection, and many other features
Agentic BI. Analytics at the speed of code ⚡️
🐍 Geometric Computer Vision Library for Spatial AI
Always know what to expect from your data.
Surrogate modeling and optimization for scientific machine learning (SciML)
High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learni…
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable i…
Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning a…
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equat…