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advanced-ensemble-learning

anomaly_detection

Time Series Anomaly Detection

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

beyond-leetcode-sql

Analysis of SQL Leetcode and classic interview questions. Common pitfalls, anti-patterns and handy tricks are discussed. Sample databases are provided.

catboost-with-pipelines

Example of using catboost regressor with sklearn pipelines.

computervision-recipes

Best Practices, code samples, and documentation for Computer Vision.

cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

cookiecutter-docker-science

Cookiecutter template for data scientists working with Docker containers

cookiecutter_compose

darts_ensemblefc

Python time series ensemble forecasts with Darts

darts_tcn_rnn

time series forecasting with TCN and RNN neural networks in Darts

dash-sample-apps

Open-source demos hosted on Dash Gallery

data-centric-ai

Resources for Data Centric AI

data-science-stack-cookiecutter

🐳📊🤓Cookiecutter template to launch an awesome dockerized Data Science toolstack (incl. Jupyster, Superset, Postgres, Minio, AirFlow & API Star)

deep-learning-for-hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

deeplearning-models

A collection of various deep learning architectures, models, and tips

docker-mlflow-server

a docker image of the MLflow server component

docker-spark-jupyter-mlflow-hive-metastore

Data Science Docker with Jupyter Lab and MLFlow. Built from a baseline docker consisting of Spark and Hive docker containers sharing a common MySQL metastore.

ds-workbench

A local development data science workbench for integrating production-like workflows

feature-engineering-for-machine-learning

Code Repository for the online course Feature Engineering for Machine Learning

feature-selection-for-machine-learning

Code repository for the online course Feature Selection for Machine Learning

feature_engine

Feature engineering package with sklearn like functionality

forecasting

Time Series Forecasting Best Practices & Examples

fsfc

Feature Selection for Clustering

inefficient-networks

A collection of notebooks on machine learning engineering and operations. ❚

jupyter-notebook-docker-compose

A docker-compose file for launching Jupyter Notebooks in a container.

jupyterhub-deploy-docker

Reference deployment of JupyterHub with docker

kafka-streams-machine-learning-examples

This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, Keras, DeepLearning4 and other technologies.

kafkaml-anomaly-detection

Project for real-time anomaly detection using Kafka and python

ksql-udf-deep-learning-mqtt-iot

Deep Learning UDF for KSQL for Streaming Anomaly Detection of MQTT IoT Sensor Data