tonyhu's repositories
autogluon
AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data
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
autogluon.common-feedstock
A conda-smithy repository for autogluon.common.
autogluon.multimodal-feedstock
A conda-smithy repository for autogluon.multimodal.
deep-learning-containers
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
mlops-e2e
MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK
Python-High-Performance-Second-Edition
Python High Performance – Second Edition, published by Packt
automm-benchmark-paper
OpenML AutoMM Benchmarking Scripts
gluonts-feedstock
A conda-smithy repository for gluonts.
langchain
⚡ Building applications with LLMs through composability ⚡
mm-cot
Official implementation for "Multimodal Chain-of-Thought Reasoning in Language Models" (stay tuned and more will be updated)
sagemaker-distribution
A set of Docker images that include popular frameworks for machine learning, data science and visualization.
sagemaker-python-sdk
A library for training and deploying machine learning models on Amazon SageMaker
scipy_con_2019
Tutorial Sessions for SciPy Con 2019
tonyhoo.github.io
Where you can read me
vertex-ai-samples
Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud