A simple LLM client for Emacs

An auto-scaling cluster of build agents running in your own AWS VPC

A high-throughput and memory-efficient inference and serving engine for LLMs

JIT compiler and runtime for a toy language, using Cranelift

MacOS Demo for Claude Computer Use

A schedule language for large model training

Transformer related optimization, including BERT, GPT

AutoGluon: AutoML for Image, Text, and Tabular Data

Autogluon-cloud aims to provide user tools to train, fine-tune and deploy AutoGluon backed models on the cloud. With just a few lines of codes, users could train a model and perform inference on th…

Convert scikit-learn models and pipelines to ONNX

Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!

AutoGluon Benchmarking Repository

Demo applications showcasing DJL

Hummingbird compiles trained ML models into tensor computation for faster inference.

A Python Interpreter written in Rust

Automatically generates Rust FFI bindings to C (and some C++) libraries.

End to end Tensor IR/DSL stack for deploying deep learning workloads to hardwares

The AWS Cloud Development Kit is a framework for defining cloud infrastructure in code

Neo-AI-DLR is a common runtime for machine learning models compiled by AWS SageMaker Neo, TVM, or TreeLite.

Open source text annotation tool for machine learning practitioner.

repo for tvm

Spot Tagging Bot for Digital Assets