#optimization

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

A Python-embedded modeling language for convex optimization problems.

PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.

Adaptive Experimentation Platform

Optax is a gradient processing and optimization library for JAX.

Accessible large language models via k-bit quantization for PyTorch.

Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM

Efficiently computes derivatives of NumPy code.

A python Linear Programming API

GPU-capable global atmosphere model of the CliMA Earth System Model, designed for calibration with data assimilation and machine learning

Time series aggregation module (tsam). Determines typical operation periods or decreases the temporal resolution. Accelerates model or experiment runs.

Linear optimization with N-D labeled arrays in Python

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 interface.

Convenient Power System Modelling and Analysis based on PYPOWER and pandas

🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools

Multi-language agent runtime and library for execution scope management, lifecycle events, and middleware on tool and LLM calls.