AlekseiYurkevich's Stars
TheAlgorithms/Python
All Algorithms implemented in Python
satwikkansal/wtfpython
What the f*ck Python? 😱
JushBJJ/Mr.-Ranedeer-AI-Tutor
A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.
google/eng-practices
Google's Engineering Practices documentation
dair-ai/ML-YouTube-Courses
📺 Discover the latest machine learning / AI courses on YouTube.
Kanaries/pygwalker
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
microsoft/computervision-recipes
Best Practices, code samples, and documentation for Computer Vision.
chiphuyen/machine-learning-systems-design
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
rsalmei/alive-progress
A new kind of Progress Bar, with real-time throughput, ETA, and very cool animations!
voila-dashboards/voila
Voilà turns Jupyter notebooks into standalone web applications
facebookresearch/Kats
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
lux-org/lux
Automatically visualize your pandas dataframe via a single print! 📊 💡
evidence-dev/evidence
Business intelligence as code: build fast, interactive data visualizations in SQL and markdown
adilkhash/Data-Engineering-HowTo
A list of useful resources to learn Data Engineering from scratch
shankarpandala/lazypredict
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
parrt/dtreeviz
A python library for decision tree visualization and model interpretation.
abhishekkrthakur/colabcode
Run VSCode (codeserver) on Google Colab or Kaggle Notebooks
Data-Learn/data-engineering
Getting Started with Data Enngineering
NVIDIA-Merlin/NVTabular
NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
BasPH/data-pipelines-with-apache-airflow
Code for Data Pipelines with Apache Airflow
analyticalmindsltd/smote_variants
A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features
mlcraft-io/mlcraft
Synmetrix – open source semantic layer / Boost your LLM precision
fuyufjh/heygpt
A simple command-line interface for ChatGPT API written in Rust ⚡️
brooklyn-data/co
Style guides and conventions
CollinRooney12/htsprophet
Hierarchical Time Series Forecasting using Prophet
BenWilson2/ML-Engineering
Reference code base for ML Engineering, Manning Publications
ShopRunner/collie
A library for preparing, training, and evaluating scalable deep learning hybrid recommender systems using PyTorch.
microprediction/mkalgo
Mueen-Keogh Algorithm for finding timeseries motifs
miroslav-kungurov/Python-Data-Journalism
Блокноты Jupyter для серии публикаций «Инструменты дата-журналиста».
alifanov/youtube-transcript-to-obsidian
Firefox plugin to import all opening YouTube video to Obsidian vault with transcription