metrizable

tensorflow

An Open Source Machine Learning Framework for Everyone

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

airflow

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

ydata-profiling

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

amazon-sagemaker-examples

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

pip

The Python package installer

kaggle-api

Official Kaggle API

xarray

N-D labeled arrays and datasets in Python

docker-python

Kaggle Python docker image

colabtools

Python libraries for Google Colaboratory

arviz

Exploratory analysis of Bayesian models with Python

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.

multi-model-server

Multi Model Server is a tool for serving neural net models for inference

sig-mlops

CDF SIG MLOps

sagemaker-inference-toolkit

Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.

pasta

Library to refactor python code through AST manipulation.

fairing

Python SDK for building, training, and deploying ML models

sagemaker-spark

A Spark library for Amazon SageMaker.

aws-step-functions-data-science-sdk-python

Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS

sagemaker-run-notebook

Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events

sagemaker-pytorch-inference-toolkit

Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://github.com/aws/deep-learning-containers.

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.

sagemaker-rl-container

A set of dockerfiles that provide Reinforcement Learning solutions for use in SageMaker.

sagemaker-tensorflow-extensions

SageMaker specific extensions to TensorFlow.

sagemaker-scikit-learn-extension

A library of additional estimators and SageMaker tools based on scikit-learn

sagemaker-mxnet-inference-toolkit

Toolkit for allowing inference and serving with MXNet in SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https://github.com/aws/deep-learning-containers.

colab-cdn-widget-manager

ibis-bigquery

BigQuery backend for Ibis

sagemaker-chainer-container

Docker container for running Chainer scripts to train and host Chainer models on SageMaker

sagemaker-debugger-rulesconfig