Stars
An AI web scraper using ollama, brightdata, selenium and other libraries.
Build a RAG (Retrieval Augmented Generation) pipeline from scratch and have it all run locally.
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
Feature engineering package with sklearn like functionality
Notes on Data Engineering with Pandas, PySpark, Dask, Ray, Arrow DataFusion, Polars etc.
Python Data Science Handbook: full text in Jupyter Notebooks
Public runnable examples of using John Snow Labs' NLP for Apache Spark.
Python interactive dashboards for learning data science
Binance Exchange API python implementation for automated trading
A general-purpose framework for solving problems with machine learning applied to predicting customer churn
An open source python library for automated feature engineering
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
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…
The full collection of all codes for my Youtube Channel segregated as per topic.
LLM (Large Language Model) FineTuning
🏅 Collection of Kaggle Solutions and Ideas 🏅
Adayların mitinglerde kullandığı metinlerdeki kelime ve duygu analizlerini oluşturabileceğiniz bir repository
Robust Speech Recognition via Large-Scale Weak Supervision
Turkish BERT/DistilBERT, ELECTRA and ConvBERT models
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Data repository for pretrained NLP models and NLP corpora.