examples of lp optimization in python
#计算机科学#Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
翻译 - 在数值离散搜索空间中的本地，全局，基于人口和顺序技术的简单可靠优化。
For optimization algorithm research and development.
Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable
#计算机科学#A hyperparameter optimization framework
翻译 - 超参数优化框架
Official repo of RepOptimizers and RepOpt-VGG
Core contracts of Morpho V1 Optimizers.
Hardware accelerated, batchable and differentiable optimizers in JAX.
Library for 8-bit optimizers and quantization routines.
Palette quantization library that powers pngquant and other PNG optimizers
Videos of deep learning optimizers moving on 3D problem-landscapes
PyTorch optimizers with sparse momentum and weight decay
#计算机科学#AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights (ICLR 2021)
翻译 - 减慢基于动量的优化器的权重增长
Training Auto-encoder-based Optimizers for Terahertz Image Reconstruction
A python code for 2d topology optimization using MMA optimizers in NLOPT
This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"
#计算机科学#59 篇深度学习论文的实现，并带有详细注释。包括 transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 强化学习 (ppo, dqn), capsnet, distillation, ... 🧠
2019 Fall semester: Dynamic Simulations class. Visualize optimizers using MATLAB - GD, SGD, Momentum, Adagrad, Adadelta, RMSProp, Adam, NAdam, RAdam
NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several state-of-the-art NAS search spaces and optimizers.
ADAS is short for Adaptive Step Size, it's an optimizer that unlike other optimizers that just normalize the derivative, it fine-tunes the step size, truly making step size scheduling obsolete, achiev...