awaelchli

Adrian Wälchli's starred repositories

manifesto

The OpenTF Manifesto expresses concern over HashiCorp's switch of the Terraform license from open-source to the Business Source License (BSL) and calls for the tool's return to a truly open-source license.

Language:HTMLApache-2.036232 64 24

pytorch-lightning

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

Language:PythonApache-2.026878 246 6883

pytorch_geometric

Graph Neural Network Library for PyTorch

Language:PythonMIT20114 254 3407

motion-canvas

Visualize Your Ideas With Code

Language:TypeScriptMIT15001 79 332

dolly

Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

Language:PythonApache-2.010785 135 161

ml-engineering

Machine Learning Engineering Open Book

Language:PythonCC-BY-SA-4.09736 99 17

TinyLlama

The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.

Language:PythonApache-2.06792 109 136

fiftyone

The open-source tool for building high-quality datasets and computer vision models

Language:PythonApache-2.06663 51 1434

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.

Language:PythonApache-2.05791 68 265

lit-gpt

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.

Language:PythonApache-2.05189 63 476

composer

Supercharge Your Model Training

Language:PythonApache-2.04991 50 518

koila

Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code.

Language:PythonApache-2.01817 11 28

ossinsight

Analysis, Comparison, Trends, Rankings of Open Source Software, you can also get insight from more than 6 billion with natural language (powered by OpenAI). Follow us on Twitter: https://twitter.com/ossinsight

Language:TypeScriptApache-2.01613 18 300

streaming

A Data Streaming Library for Efficient Neural Network Training

Language:PythonApache-2.0925 17 123

pips

Particle Video Revisited

Language:PythonMIT534 15 36

lightning-sam

Fine-tune Segment-Anything Model with Lightning Fabric.

Language:PythonApache-2.0422 12 47

elasticluster

Create clusters of VMs on the cloud and configure them with Ansible.

Language:PythonGPL-3.0334 25 517

jsonargparse

Implement minimal boilerplate CLIs derived from type hints and parse from command line, config files and environment variables

Language:PythonMIT267 4 259

lightning-pose

Accelerated pose estimation and tracking using semi-supervised convolutional networks.

Language:Jupyter NotebookMIT209 5 24

ptlflow

PyTorch Lightning Optical Flow models, scripts, and pretrained weights.

Language:PythonApache-2.0188 5 23

Sequoia

The Research Tree - A playground for research at the intersection of Continual, Reinforcement, and Self-Supervised Learning.

Language:PythonGPL-3.0187 20 116

torcheval

A library that contains a rich collection of performant PyTorch model metrics, a simple interface to create new metrics, a toolkit to facilitate metric computation in distributed training and tools for PyTorch model evaluations.

Language:PythonNOASSERTION186 16 26

studio-lab

Studio Lab is hackable boilerplate for PyTorch Lightning driven deep learning research in Lightning AI Studios

Language:PythonApache-2.05800

finetuning-scheduler

A PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.

Language:PythonApache-2.055 3 10

gridai

Placeholder for the opensource Grid AI components

44 27 100

Training-Studio_app

Lightning HPO & Training Studio App

Language:PythonApache-2.017 8 87

lit_utils

Utilities for working with W&B and PyTorch Lightning in an educational context

Language:Python15 8 5

pytorch_boiler

A minimalistic boiler plate code for training pytorch models

Language:PythonMIT12 20

who-is-alyx

This dataset contains over 110 hours of motion, eye-tracking and physiological data from 71 players of the virtual reality game “Half-Life: Alyx”. Each player played the game on two separate days for about 45 minutes using a HTC Vive Pro.

Language:PythonNOASSERTION11 1 1

Background-Aware-CAM-WSOL

[unofficial]Background-aware Classification Activation Map for Weakly Supervised Object Localization

Language:Python400