Open standard for mathematical programming interoperability
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Updated
Jul 9, 2024 - Python
Open standard for mathematical programming interoperability
API documentation and clients for the daptics.ai design of experiments engine
FelooPy: Efficient & Feature-Rich Integrated Decision Environment
Linear optimization with N-D labeled arrays in Python
Save server resources by letting players disable their villager's AI
Custom SQL walker for Doctrine allowing usage of MySQL index hints without need of native queries
Replicated and optimized community version of Advanced Locomotion System V4 for Unreal Engine 5.4 with additional features & bug fixes
🤗 Optimum Intel: Accelerate inference with Intel optimization tools
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A framework for single/multi-objective optimization with metaheuristics
Serve, optimize and scale PyTorch models in production
Optax is a gradient processing and optimization library for JAX.
Если у вас есть какие-то конкретные требования или предпочтения, дайте мне знать, и я подправлю пример под ваши нужды.
adam implements a collection of algorithms for calculating rigid-body dynamics in Jax, CasADi, PyTorch, and Numpy.
Doom port for DOS, optimized to be as fast as possible!
Bayesian Optimization and Design of Experiments
Bootstrapping compiler for toy language
BOSS (Bayesian Optimization with Semiparametric Surrogate)
An energy system optimization model that is flexible, computationally efficient, and academically robust.
A python library for optimization, geared towards modular robots and evolutionary computing.
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