Alexander Shirkov's repositories
ag-deploy-cdk
CDK stack example to deploy AutoGluon models
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.
ag-lambda-starter
AutoGluon Lambda Deployment Starter
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
aws-machine-learning-university-accelerated-tab
Machine Learning University: Accelerated Tabular Data Class
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
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
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.