💜🌈📊 A Data Engineering Project that implements an ETL data pipeline using Dagster, Apache Spark, Streamlit, MinIO, Apache Superset, Dbt 🌺
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Updated
May 17, 2024 - Jupyter Notebook
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
💜🌈📊 A Data Engineering Project that implements an ETL data pipeline using Dagster, Apache Spark, Streamlit, MinIO, Apache Superset, Dbt 🌺
This repository is a guide to data science, covering fundamental concepts, hands-on notebooks, and sample datasets. Star if you find the repo useful
Remote Sensing and GIS Software Library; python module tools for processing spatial data.
🔍 LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
Python scraper based on AI
An open-source container orchestration engine for running AI workloads in any cloud or data center. https://discord.gg/u8SmfwPpMd
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
💻☕This repository is a resource for learning data science, including learning materials and projects. It covers topics such as data analysis, machine learning, and programming.
We write your reusable computer vision tools. 💜
アマデウス Memory storage and artificial intelligence system. Complex chatting AI bot for discord, also voice / music, streams trackers, WarCraft3 news, games trackers, various statistics/info grabbers.
🦙 Integrating LLMs into structured NLP pipelines
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
LLM App templates for RAG, knowledge mining, and stream analytics. Ready to run with Docker,⚡in sync with your data sources.
Making your benchmark of optimization algorithms simple and open
A Deep learning library for neutrino telescopes
An Open Source Machine Learning Framework for Everyone
Hopsworks - Data-Intensive AI platform with a Feature Store
Design preconditioners with a CNN to accelerate the conjugate gradient method.
Web application for predicting the number of available bike stands at one of the MBajk bike stations.
This Portfolio page is a compilation of all the Data Science and Machine learning engineering projects I realised for academic, self learning and hobby purposes. This portfolio is updated on the regular basis.