optim
Parameter optimizer
A package that provides tools for finding and improving the parameters of a mathematical model to optimize its performance
A numeric optimization package for Torch.
196 stars
28 watching
153 forks
Language: Lua
last commit: about 7 years ago
Linked from 3 awesome lists
josephmisiti/awesome-machine-learning
jobbole/awesome-machine-learning-cn
carpedm20/awesome-torchRelated projects:
| Repository | Description | Stars |
|---|---|---|
 claesenm/optunity | A collection of algorithms for hyperparameter optimization in machine learning models | 417 |
 vagmcs/optimus | A mathematical optimization library written in Scala, supporting linear and quadratic programming with various solver options. | 141 |
 toy/image_optim | Optimization tool for images | 1,523 |
 vaibkumr/prompt-optimizer | A tool to reduce the complexity of text prompts to minimize API costs and model computations. | 246 |
 pnnl/soda-opt | A tool that extracts and optimizes high-level code snippets into LLVM IR using MLIR for high-level synthesis | 37 |
 google/llvm-propeller | An optimization tool for improving the performance of large-scale software recompilation using profiling and relinking techniques. | 381 |
 metaopt/torchopt | An efficient library for differentiable optimization built on top of PyTorch. | 554 |
 lyogavin/anima | An optimization technique for large language models allowing them to run on limited hardware resources without significant performance loss. | 9 |
 meshpro/optimesh | A tool for optimizing and smoothing 3D meshes using various algorithms. | 582 |
 pytorch-labs/torchfix | A tool to analyze and fix issues in PyTorch-related Python code, with automated fixes available. | 111 |
 mengomarlene/opti4abq | An optimisation method that minimises the difference between FEA output and data in Abaqus models | 17 |
 lucfra/far-ho | A package for optimizing hyperparameters and meta-learning using gradient-based methods in TensorFlow. | 188 |
 ml-energy/zeus | An open-source Python package and daemon that helps measure and optimize the energy consumption of deep learning workloads. | 224 |
 brml/climin | A Python package for gradient-based function optimization in machine learning | 181 |
 tum-ens/urbs | An optimization model for distributed energy systems to plan capacity expansion and unit commitment. | 186 |