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ag-deploy-cdk

CDK stack example to deploy AutoGluon models

ag-lambda-starter

AutoGluon Lambda Deployment Starter

ag-vpc-setup

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

autogluon

AutoGluon: AutoML Toolkit for Deep Learning

autogluon-benchmark

AutoGluon Benchmarking Repository

automlbenchmark

aws-machine-learning-university-accelerated-tab

Machine Learning University: Accelerated Tabular Data Class

conferences

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.

docker-autogluon

empyrial

AI and data-driven quantitative portfolio management for risk and performance analytics 投资组合管理

evals

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

fastai

The fastai deep learning library

fastseq

A way to use fastai with sequence data

governance

The governance process and model for Project Jupyter

hello-github-actions

mesh-transformer-jax

Model parallel transformers in JAX and Haiku

ml-interviews-book

https://huyenchip.com/ml-interviews-book/

pytorch-deep-learning

Deep Learning (with PyTorch)

pytorch-widedeep

A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch

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

sber-automl-21-baselines

suod

(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.