Lua-Based Machine, Deep And Reinforcement Learning Library (For Roblox And Pure Lua). Contains 34 Models!
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Updated
Jul 2, 2024 - Lua
Lua-Based Machine, Deep And Reinforcement Learning Library (For Roblox And Pure Lua). Contains 34 Models!
0th order optimizers, gradient chaining, random gradient approximation
Fast, Modern, Memory Efficient, and Low Precision PyTorch Optimizers
🧑🏫 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, ... 🧠
🧑🏫 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, ... 🧠
D2 is a strongly-typed, statically-typed, (mostly) inferred-type compiled language.
🦁 Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch
Nx-powered Neural Networks
Learn DSPy framework by coding text adventure game
Optim4RL is a Jax framework of learning to optimize for reinforcement learning.
JAX implementation of 'Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training'
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.
Intergration to get optimizers information from the SolarEdge portal
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.
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