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 Lightning fast! Thunder is a source to source compiler for PyTorch. It enables using different hardware executors at once.
Frontend for Lightning apps and home of the Design System
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.
Blazingly fast, distributed streaming of training data from any cloud storage for training AI models
Hackable implementation of state-of-the-art open-source LLMs based on nanoGPT. Supports flash attention, 4-bit and 8-bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.
Inference server for AI/ML models that is minimal and highly scalable.
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