liangfu

autogluon

AutoGluon: AutoML for Image, Text, and Tabular Data

bert_tvm

Tune BERT model for Tesla T4

slapo

A schedule language for large model training

vllm

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

autogluon-benchmark

AutoGluon Benchmarking Repository

autogluon-benchmark-pr

autogluon-cloud

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 the cloud without worrying about MLOps details such as resource management

aws-cdk

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

cranelift-jit-demo

JIT compiler and runtime for a toy language, using Cranelift

djl-demo

Demo applications showcasing DJL

doccano

Open source text annotation tool for machine learning practitioner.

dockerhub

FasterTransformer

Transformer related optimization, including BERT, GPT

gluon-nlp

NLP made easy

hummingbird

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

jupyterlite-demo

JupyterLite demo deployed to GitHub Pages 🚀

neo-ai-dlr

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

picorv32

PicoRV32 - A Size-Optimized RISC-V CPU

recommender-system-dev-workshop-code

riscv-mini

Simple RISC-V 3-stage Pipeline in Chisel

rust-bindgen

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

RustPython

A Python Interpreter written in Rust

sagemaker-endpoint-template

sklearn-onnx

Convert scikit-learn models and pipelines to ONNX

spot-tagging-bot-for-digital-assets

Spot Tagging Bot for Digital Assets

studio-lab-examples

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

tinycc

tvm

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

tvm-site

repo for tvm

wchaws