AdaBound
by Luolc
An optimizer that trains as fast as Adam and as good as SGD.
AI summary
Optimizer
An optimizer that combines the benefits of Adam and SGD algorithms
- stars
- 2.9K
- forks
- 330
- watching
- 71
Similar projects
Found by comparing what the projects do, not just their names.
AutoML framework
An automated machine learning framework that learns to ensemble sub-networks to improve model quality
LLM toolkit
A toolkit for fine-tuning and inferring large machine learning models
Game controller
An implementation of a deep reinforcement learning algorithm for human-level control in game environments using TensorFlow.
microsoft/lightgbm16.8K
Gradient booster
A high-performance gradient boosting framework for machine learning tasks
Model optimizer
A toolkit for optimizing and accelerating the training and inference of machine learning models on various hardware platforms.
AI model builder
A framework for building and training AI models on multiple GPUs or TPUs with minimal code changes.
GPU tensor library
A Python library providing tensors and dynamic neural networks with strong GPU acceleration
AI inference toolkit
A toolkit for optimizing and deploying artificial intelligence models in various applications
RL frameworks
An open-source implementation of several reinforcement learning algorithms in PyTorch
plasma-umass/scalene12.3K
Profiler
A high-performance Python profiler that analyzes CPU, GPU, and memory usage, providing detailed information and AI-powered optimization suggestions.
ODE solver library
A PyTorch implementation of differentiable ODE solvers with GPU support and efficient backpropagation
Image generator library
An official PyTorch implementation of the StyleGAN2-ADA algorithm for generating images with a focus on stability and performance.
AutoML tool
Automates machine learning tasks to train accurate models in just a few lines of code
pytorch/botorch3.1K
Optimization toolkit
A PyTorch-based library for Bayesian optimization, providing a modular interface for composing and optimizing probabilistic models.
Deep learning implementations
Implementations of various deep learning algorithms and techniques with accompanying documentation
