FluxML/FluxTraining.jl

A flexible neural net training library inspired by fast.ai

Juliadeep-learningoptimization
This is stars and forks stats for /FluxML/FluxTraining.jl repository. As of 09 May, 2024 this repository has 110 stars and 23 forks.

FluxTraining.jl Docs (master) A Julia package for using and writing powerful, extensible training loops for deep learning models. What does it do? Implements a training loop to take the boilerplate out of training deep learning models Lets you add features to training loops through reusable callbacks Comes with callbacks for many common use cases like hyperparameter scheduling, metrics tracking and logging, checkpointing, early stopping, and more... Is extensible by creating custom, reusable callbacks...
Read on GithubGithub Stats Page
repotechsstarsweeklyforksweekly
aras62/vision-based-predictionTeX2760560
SciML/SciMLBase.jlJulia99+1780
ttpekkan/gitMATLABFortranJulia0000
xuebinqin/DISJupyter NotebookPython1.6k+12196+2
JuliaReinforcementLearning/Brax.jlJulia3000
Deci-AI/super-gradientsJupyter NotebookPythonOther3.4k+18352+2
LICO-labs/LinA.jlJulia6010
miracleyoo/pytorch-lightning-templateJupyter NotebookPython944+3163-1
full-stack-deep-learning/fsdl-text-recognizer-projectJupyter NotebookPython1.2k04260
Lightning-AI/lightningPythonTypeScriptShell24.8k+703k+6