Lightning-AI / pytorch-lightningLinks
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
β30,683Updated last week
Alternatives and similar repositories for pytorch-lightning
Users that are interested in pytorch-lightning are comparing it to the libraries listed below
Sorting:
- π€ Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal modelβ¦β154,849Updated this week
- A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorchβ8,890Updated 2 weeks ago
- The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights --β¦β36,155Updated this week
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)β9,347Updated this week
- Visualizer for neural network, deep learning and machine learning modelsβ32,149Updated this week
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.β4,721Updated last week
- Facebook AI Research Sequence-to-Sequence Toolkit written in Python.β32,076Updated 3 months ago
- π Geometric Computer Vision Library for Spatial AIβ10,986Updated this week
- π A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (iβ¦β9,427Updated this week
- A scikit-learn compatible neural network library that wraps PyTorchβ6,145Updated 3 weeks ago
- Model interpretability and understanding for PyTorchβ5,517Updated this week
- A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.β16,327Updated last year
- Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125β15,245Updated 6 months ago
- Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalitiesβ21,932Updated 3 weeks ago
- State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterβ¦β14,677Updated last year
- Datasets, Transforms and Models specific to Computer Visionβ17,435Updated this week
- Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pyβ¦β24,829Updated this week
- tensorboard for pytorch (and chainer, mxnet, numpy, ...)β7,989Updated 2 months ago
- Tensors and Dynamic neural networks in Python with strong GPU accelerationβ96,395Updated this week
- A hyperparameter optimization frameworkβ13,353Updated this week
- An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model cβ¦β14,328Updated last year
- PyTorch tutorials.β8,970Updated this week
- Machine learning metrics for distributed, scalable PyTorch applications.β2,392Updated this week
- The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.β6,292Updated 4 months ago
- Latex code for making neural networks diagramsβ24,329Updated 2 years ago
- View model summaries in PyTorch!β2,891Updated 3 weeks ago
- Hydra is a framework for elegantly configuring complex applicationsβ10,079Updated last month
- Open standard for machine learning interoperabilityβ20,114Updated this week
- The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.β12,393Updated last month
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and moreβ34,526Updated this week