Visualize your git commits with a heat map in the terminal

A conda-forge distribution.

Data validation using Python type hints

Python package for Imputation Methods

(Python, R, C++) Explainable outlier/anomaly detection through decision tree conditioning

(Python, R, C/C++) Isolation Forest and variations such as SCiForest and EIF, with some additions (outlier detection + similarity + NA imputation)

DCASE2020 Challenge Task 2 baseline system

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

Faker is a Python package that generates fake data for you.

Unofficial Pytorch implementation of Inception layer for time series classification and its possible transposition for further use in Variational AutoEncoder

CloudWatch Logging for Python

Hydra is a framework for elegantly configuring complex applications

Flexible Python configuration system. The last one you will ever need.

Model summary in PyTorch similar to `model.summary()` in Keras

Some examples of using PyTorch for tabular data

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams

Actively developed Hierarchical Temporal Memory (HTM) community fork (continuation) of NuPIC. Implementation for C++ and Python

💬 Sequence to Sequence from Scratch Using Pytorch

Auto encoder for time series

A PyTorch implementation of "Generating Sentences from a Continuous Space"

Recurrent Variational Autoencoder that generates sequential data implemented with pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoe…

A JupyterLab plugin to facilitate invocation of code formatters.

A collection of various notebook extensions for Jupyter

A library that allows you to easily mock out tests based on AWS infrastructure.

A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations

A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner

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