Name: ⚡️ Lightning AI
Type: Organization
Bio: Turn ideas into AI, Lightning fast. Creators of PyTorch Lightning, Lightning AI Studio, TorchMetrics, Fabric, Lit-GPT, Lit-LLaMA
Twitter: LightningAI
Location: United States of America
Blog: https://lightning.ai/
⚡️ Lightning AI 's Projects
Pytorch Lightning code guideline for conferences
Deep Learning Fundamentals -- Code material and exercises
Automate issue discovery for your projects against Lightning nightly and releases.
Lightning Bits: Engineering for Researchers repo
Python pdb for multiple processes
Lightning support for Intel Habana accelerators.
Multinode templates for Pytorch Lightning
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.
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.
Streamline data pipelines for AI. Process datasets across 1000s of machines, and optimize data for blazing fast model training.
Pretrain, finetune, deploy 20+ LLMs on your own data. Uses state-of-the-art techniques: flash attention, FSDP, 4-bit, LoRA, and more.
Deploy AI models at scale. High-throughput serving engine for AI/ML models that uses the latest state-of-the-art model deployment techniques.
A framework for few-shot evaluation of autoregressive language models.
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.
Collection of Pytorch lightning tutorial form as rich scripts automatically transformed to ipython notebooks.
Common Python utilities and GitHub Actions in Lightning Ecosystem