How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
GPyTorch is a GPU-accelerated probabilistic framework and PyTorch library for implementing scalable Gaussian process models. It provides a system for Gaussian process modeling and uncertainty estimation, designed to perform efficient matrix operations on graphics hardware. The framework features a modular kernel system for constructing custom covariance functions and modeling complex data dependencies. It specifically integrates Gaussian processes with deep neural networks to create hybrid models for regression and classification. The system employs numerical linear algebra techniques, inclu
Fastai is a high-level deep learning library built on PyTorch that provides a unified interface for managing the entire machine learning lifecycle. It functions as a comprehensive training toolkit, abstracting hardware management and automating complex training loops to simplify the construction and execution of neural network models. The framework is distinguished by its notebook-centric development environment and a type-dispatching data pipeline that automatically applies transformations based on input data formats. It emphasizes transfer learning through discriminative layer-wise optimiza
Riemannian Adaptive Optimization Methods with pytorch optim
An optimizer that trains as fast as Adam and as good as SGD.
The main features of luolc/adabound are: Deep Learning Frameworks, Developer Tools, Optimization.
Projects with overlapping indexed features include: fastai/fastai — Fastai is a high-level deep learning library built on PyTorch that provides a unified interface for managing the… fsprojects/vulpes — Vulpes: a Deep Belief Net written in F#, and using Alea.cuBase to access the GPU. catalyst-team/catalyst — Accelerated deep learning R&D. cornellius-gp/gpytorch — GPyTorch is a GPU-accelerated probabilistic framework and PyTorch library for implementing scalable Gaussian process… ferrine/geoopt — Riemannian Adaptive Optimization Methods with pytorch optim. graal-research/poutyne — A simplified framework and utilities for PyTorch.
