Lua-Based Machine, Deep And Reinforcement Learning Library (For Roblox And Pure Lua). Contains 34 Models!
-
Updated
May 24, 2024 - Lua
Lua-Based Machine, Deep And Reinforcement Learning Library (For Roblox And Pure Lua). Contains 34 Models!
JAX implementation of 'Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training'
0th order optimizers, gradient chaining, random gradient approximation
Pytorch library to test optimizers by visualizing how they descend on a your images. You can draw your own custom loss landscape and see what different optimizers do.
Fast, Modern, Memory Efficient, and Low Precision PyTorch Optimizers
Nx-powered Neural Networks
🦁 Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch
Intergration to get optimizers information from the SolarEdge portal
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Cardis Optimizer is a simple but complex optimizer that will have your pc running better in minutes!
A set of NBA optimizers and GPP tools to help you win daily fantasy sports
Summarize Massive Datasets using Submodular Optimization
Polyvalent neural network
Tutorials on optimizers for deep neural networks
A curated list of optimizers for machine learning.
This repository contains about final project for bachelor degree
🐦 Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.
Uptodate fork for visualizing the loss landscape of neural nets
Add a description, image, and links to the optimizers topic page so that developers can more easily learn about it.
To associate your repository with the optimizers topic, visit your repo's landing page and select "manage topics."