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Name: Timea Kovacs
Type: User
Name: Timea Kovacs
Type: User
Time Series Anomaly Detection
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Analysis of SQL Leetcode and classic interview questions. Common pitfalls, anti-patterns and handy tricks are discussed. Sample databases are provided.
Example of using catboost regressor with sklearn pipelines.
Best Practices, code samples, and documentation for Computer Vision.
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Cookiecutter template for data scientists working with Docker containers
Python time series ensemble forecasts with Darts
time series forecasting with TCN and RNN neural networks in Darts
Open-source demos hosted on Dash Gallery
Resources for Data Centric AI
🐳📊🤓Cookiecutter template to launch an awesome dockerized Data Science toolstack (incl. Jupyster, Superset, Postgres, Minio, AirFlow & API Star)
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)
A collection of various deep learning architectures, models, and tips
a docker image of the MLflow server component
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.
A local development data science workbench for integrating production-like workflows
Code Repository for the online course Feature Engineering for Machine Learning
Code repository for the online course Feature Selection for Machine Learning
Feature engineering package with sklearn like functionality
Time Series Forecasting Best Practices & Examples
Feature Selection for Clustering
A collection of notebooks on machine learning engineering and operations. ❚
A docker-compose file for launching Jupyter Notebooks in a container.
Reference deployment of JupyterHub with docker
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.
Project for real-time anomaly detection using Kafka and python
Deep Learning UDF for KSQL for Streaming Anomaly Detection of MQTT IoT Sensor Data
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.