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pytorch-lightning
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.litgpt
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.lit-llama
Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.LitServe
Lightning-fast serving engine for any AI model of any size. Flexible. Easy. Enterprise-scale.torchmetrics
Machine learning metrics for distributed, scalable PyTorch applications.deep-learning-project-template
Pytorch Lightning code guideline for conferenceslightning-thunder
Make PyTorch models up to 40% faster! Thunder is a source to source compiler for PyTorch. It enables using different hardware executors at once; across one or thousands of GPUs.litdata
Transform datasets at scale. Optimize datasets for fast AI model training.dl-fundamentals
Deep Learning Fundamentals -- Code material and exercisestutorials
Collection of Pytorch lightning tutorial form as rich scripts automatically transformed to ipython notebooks.engineering-class
Lightning Bits: Engineering for Researchers repoutilities
Common Python utilities and GitHub Actions in Lightning Ecosystemlightning-ColossalAI
Large Scale Distributed Model Training with Colossal AI and Lightning AIecosystem-ci
Automate issue discovery for your projects against Lightning nightly and releases.forked-pdb
Python pdb for multiple processeslightning-Hivemind
Lightning Training strategy for HiveMindlightning-Graphcore
Lightning-multinode-templates
Multinode templates for Pytorch LightningLAI-E2E-ContinualAI-Emulator
lightning-ui
Frontend for Lightning apps and home of the Design Systemlightning-gan
e2e-speed-benchmark-tests
Tests scripts which ensure that app startup times do not regresslightning-Horovod
Lightning Training strategy for HorovodLAI-lightning-template-jupyterlab-App
cloud-training-workshop
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