adam

On the Variance of the Adaptive Learning Rate and Beyond

Adam (or adm) is a coroutine-friendly Android Debug Bridge client written in Kotlin

Learning Rate Warmup in PyTorch

ADAM - A Question Answering System. Inspired from IBM Watson

RAdam implemented in Keras & TensorFlow

This is a repo for my master thesis research about the Fusion of Visual SLAM and GPS. It contains the research paper, code and other interesting data.

ADaM in R Asset Library

8-bit systems to ESP32 WiFi Multifunction Firmware

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

Implementation of the proposed Adam-atan2 from Google Deepmind in Pytorch

ColecoVision, ADAM emulator and debugger with embedded MCP server for macOS, Windows, Linux, BSD and RetroArch.

A Deep Learning and preprocessing framework in Rust with support for CPU and GPU.

AdamW optimizer for Keras

A tour of different optimization algorithms in PyTorch.

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, achieving state-of-the-art training performance

Easy-to-use AdaHessian optimizer (PyTorch)

Unofficial implementation of Switching from Adam to SGD optimization in PyTorch.

Lion and Adam optimization comparison

Easy-to-use linear and non-linear solver

Toy implementations of some popular ML optimizers using Python/JAX