Pinned Repositories
horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
ludwig
Low-code framework for building custom LLMs, neural networks, and other AI models
lorax
Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs
awesome-local-ai
An awesome repository of local AI tools
decentralizedsgd
gloo
Collective communications library with various primitives for multi-machine training.
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.
punica
Serving multiple LoRA finetuned LLM as one
quora-duplicate-question-detector
Uses a Convolutional Neural Network to detect duplicate questions in the public Quora dataset.
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.
tgaddair's Repositories
tgaddair/quora-duplicate-question-detector
Uses a Convolutional Neural Network to detect duplicate questions in the public Quora dataset.
tgaddair/decentralizedsgd
tgaddair/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.
tgaddair/awesome-local-ai
An awesome repository of local AI tools
tgaddair/gloo
Collective communications library with various primitives for multi-machine training.
tgaddair/punica
Serving multiple LoRA finetuned LLM as one
tgaddair/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.
tgaddair/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.
tgaddair/addons
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
tgaddair/hydrok
tgaddair/invoken
tgaddair/k8s
Kubernetes Helm Charts for the ORY ecosystem.
tgaddair/ludwig-docs
Ludwig's documentation
tgaddair/Medusa
Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads
tgaddair/megablocks
tgaddair/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.
tgaddair/pytorch-lightning
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate
tgaddair/ray-contrib
Contributed modules to ray
tgaddair/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.
tgaddair/text-generation-inference
Large Language Model Text Generation Inference