Chris-hughes10 / pytorch-accelerated
A lightweight library designed to accelerate the process of training PyTorch models by providing a minimal, but extensible training loop which is flexible enough to handle the majority of use cases, and capable of utilizing different hardware options with no code changes required. Docs: https://pytorch-accelerated.readthedocs.io/en/latest/
☆182Updated last month
Alternatives and similar repositories for pytorch-accelerated:
Users that are interested in pytorch-accelerated are comparing it to the libraries listed below
- The spiritual successor to knockknock for PyTorch Lightning, get notified when your training ends☆77Updated 3 months ago
- A library that contains a rich collection of performant PyTorch model metrics, a simple interface to create new metrics, a toolkit to fac…☆229Updated 2 months ago
- Plugin for deploying MLflow models to TorchServe☆108Updated last year
- Documentation for Ross Wightman's timm image model library☆304Updated 11 months ago
- Common Python utilities and GitHub Actions in Lightning Ecosystem☆54Updated this week
- An active learning library for Pytorch based on Lightning-Fabric.☆79Updated 10 months ago
- Implementation of the Adan (ADAptive Nesterov momentum algorithm) Optimizer in Pytorch☆251Updated 2 years ago
- deep learning with pytorch lightningUpdated 4 months ago
- Lightning HPO & Training Studio App☆18Updated last year
- Named tensors with first-class dimensions for PyTorch☆321Updated last year
- Convert scikit-learn models to PyTorch modules☆161Updated 10 months ago
- A library to inspect and extract intermediate layers of PyTorch models.☆472Updated 2 years ago
- ☆73Updated 2 years ago
- The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX☆417Updated 11 months ago
- A lightweight wrapper for PyTorch that provides a simple declarative API for context switching between devices, distributed modes, mixed-…☆67Updated last year
- FFCV-SSL Fast Forward Computer Vision for Self-Supervised Learning.☆206Updated last year
- Drift Detection for your PyTorch Models☆315Updated 2 years ago
- TF2 implementation of knowledge distillation using the "function matching" hypothesis from https://arxiv.org/abs/2106.05237.☆87Updated 3 years ago
- Functional deep learning☆108Updated 2 years ago
- Memory mapped numpy arrays of varying shapes☆295Updated 9 months ago
- MinT: Minimal Transformer Library and Tutorials☆253Updated 2 years ago
- Cyclemoid implementation for PyTorch☆87Updated 2 years ago
- Pytorch Lightning Distributed Accelerators using Ray☆211Updated last year
- A clean, modular implementation of the Yolov7 model family, which uses the official pretrained weights, with utilities for training the m…☆116Updated last year
- A PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.☆63Updated last month
- A simple python package to solve all your problems with pythonpath, work dir, file paths, module imports and environment variables.☆159Updated last year
- Configuration classes enabling type-safe PyTorch configuration for Hydra apps☆212Updated 2 years ago
- Memory-Efficient CUDA kernels for training ConvNets with PyTorch.☆38Updated 3 weeks ago
- Outlining techniques for improving the training performance of your PyTorch model without compromising its accuracy☆126Updated last year
- Context Manager to profile the forward and backward times of PyTorch's nn.Module☆84Updated last year