Rewcifer's starred repositories
sentencepiece
Unsupervised text tokenizer for Neural Network-based text generation.
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow
Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron
skforecast
Time series forecasting with machine learning models
scikit-llm
Seamlessly integrate LLMs into scikit-learn.
EDA_Radiology
Exploratory data analysis for radiology report - University of Chicago
MSCA_ML_Final_BC
Ben Cox MSCA Machine Learning Final Submission
Keras_LSTM_Diagram
Understanding Keras Recurrent Nets' structure and data flow (mainly LSTM) in a single diagram.
SemanticQuestion10K
Ask questions to a 10K report and get answers using Microsoft Semantic Kernel and Azure OpenAI Service
Advanced-House-Prediction-EDA
In this Data science project I tried to create Jupyter notebooks for EDA and feature engineering of Advanced House Price Prediction Dataset from Kaggle Competition.
stats-lecture-notes
Statistics lecture notes
ISL-python
Porting the R code in ISL to python. Labs and exercises
LinAlg4DataScience
Code that accompanies the book "Linear Algebra for Data Science"
Python-for-Probability-Statistics-and-Machine-Learning-2E
Second edition of Springer Book Python for Probability, Statistics, and Machine Learning
scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
peopleanalytics-regression-book
Handbook of Regression Modeling in People Analytics
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Data-Science-For-Beginners
10 Weeks, 20 Lessons, Data Science for All!
ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
ML-Notebooks
:fire: Machine Learning Notebooks