tgaddair

quora-duplicate-question-detector

Uses a Convolutional Neural Network to detect duplicate questions in the public Quora dataset.

decentralizedsgd

ludwig

Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.

awesome-local-ai

An awesome repository of local AI tools

gloo

Collective communications library with various primitives for multi-machine training.

punica

Serving multiple LoRA finetuned LLM as one

ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

skypilot

SkyPilot: Run LLMs, AI, and Batch jobs on any cloud. Get maximum savings, highest GPU availability, and managed execution—all with a simple interface.

addons

Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

hydrok

invoken

k8s

Kubernetes Helm Charts for the ORY ecosystem.

ludwig-docs

Ludwig's documentation

Medusa

Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads

megablocks

petastorm

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

pytorch-lightning

The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate

ray-contrib

Contributed modules to ray

RSTT

RSTT is a software package that improves the accuracy of regional seismic travel time prediction and event location. The software package includes a computerized representation of 3-dimensional seismic wave speed for Earth's crust and shallow mantle (the outer-most 100 to 200 km of the Earth) and algorithms to calculate travel times for waves that are commonly used to locate events. RSTT was designed with real-time monitoring in mind and travel times can be computed on the fly in approximately 1 millisecond.