tuliocasagrande

black

The uncompromising Python code formatter

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

sagemaker-ssh-helper

A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)

faiss

A library for efficient similarity search and clustering of dense vectors.

tueplots

Figure sizes, font sizes, fonts, and more configurations at minimal overhead. Fix your journal papers, conference proceedings, and other scientific publications.

m2cgen

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

smart_open

Utils for streaming large files (S3, HDFS, gzip, bz2...)

data

A PyTorch repo for data loading and utilities to be shared by the PyTorch domain libraries.

spark-nlp

State of the Art Natural Language Processing

memray

Memray is a memory profiler for Python

tensorflow-lifetime-value

Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.

terraform-workshop

optuna

A hyperparameter optimization framework

sagemaker-debugger

Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors

sagemaker-scikit-learn-container

Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http://scikit-learn.org/stable/)

sagemaker-xgboost-container

This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts in SageMaker.

amazon-sagemaker-build-train-deploy

Scale complete ML development with Amazon SageMaker Studio

mit-15-003-data-science-tools

Study guides for MIT's 15.003 Data Science Tools

nbQA

Run ruff, isort, pyupgrade, mypy, pylint, flake8, and more on Jupyter Notebooks

spellchecker

Spellchecker for JupyterLab notebook markdown cells and file editor.

BentoML

The easiest way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Multi-model Inference Graph/Pipelines, LLM/RAG apps, and more!

aws-serverless-workshops

Code and walkthrough labs to set up serverless applications for Wild Rydes workshops

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_down:

amazon-mlops-example-tensorflow

Builds and deploys a MLOps Pipeline on AWS Cloud

Content-AWS-Certified-Data-Analytics---Speciality

DAS-C01 ACG/LA by Brock Tubre and John Hanna

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

sagemaker-studio-auto-shutdown-extension

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.

aws-customer-churn-pipeline

An End to End Customer Churn Prediction solution using AWS services.

PyTorchTutorials

PyTorch Tutorial materials for Duke University +Data Science Initiative