⚡️ Lightning AI
Turn ideas into AI, Lightning fast. Creators of PyTorch Lightning, Lightning AI Studio, TorchMetrics, Fabric, Lit-GPT, Lit-LLaMA
United States of America
Pinned Repositories
deep-learning-project-template
Pytorch Lightning code guideline for conferences
dl-fundamentals
Deep Learning Fundamentals -- Code material and exercises
lightning-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.
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.
litdata
Transform datasets at scale. Optimize datasets for fast AI model training.
litgpt
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
LitServe
Lightning-fast serving engine for AI models. Flexible. Easy. Enterprise-scale.
pytorch-lightning
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
torchmetrics
Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.
tutorials
Collection of Pytorch lightning tutorial form as rich scripts automatically transformed to ipython notebooks.
⚡️ Lightning AI 's Repositories
Lightning-AI/pytorch-lightning
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
Lightning-AI/litgpt
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
Lightning-AI/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.
Lightning-AI/LitServe
Lightning-fast serving engine for AI models. Flexible. Easy. Enterprise-scale.
Lightning-AI/torchmetrics
Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.
Lightning-AI/deep-learning-project-template
Pytorch Lightning code guideline for conferences
Lightning-AI/lightning-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.
Lightning-AI/dl-fundamentals
Deep Learning Fundamentals -- Code material and exercises
Lightning-AI/litdata
Transform datasets at scale. Optimize datasets for fast AI model training.
Lightning-AI/tutorials
Collection of Pytorch lightning tutorial form as rich scripts automatically transformed to ipython notebooks.
Lightning-AI/engineering-class
Lightning Bits: Engineering for Researchers repo
Lightning-AI/utilities
Common Python utilities and GitHub Actions in Lightning Ecosystem
Lightning-AI/ecosystem-ci
Automate issue discovery for your projects against Lightning nightly and releases.
Lightning-AI/forked-pdb
Python pdb for multiple processes
Lightning-AI/lightning-Habana
Lightning support for Intel Habana accelerators.
Lightning-AI/probot
Lightning-AI/lightning-Graphcore
Lightning-AI/Lightning-multinode-templates
Multinode templates for Pytorch Lightning
Lightning-AI/lm-evaluation-harness
A framework for few-shot evaluation of autoregressive language models.
Lightning-AI/cloud-training-workshop
Lightning-AI/.github