takehiro177

pykan

Kolmogorov Arnold Networks

ml-engineering

Machine Learning Engineering Open Book

catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

pytesseract

A Python wrapper for Google Tesseract

Time-Series-Library

A Library for Advanced Deep Time Series Models.

pytorch-forecasting

Time series forecasting with PyTorch

torchtune

A Native-PyTorch Library for LLM Fine-tuning

efficient-kan

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

data-science-on-aws

AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

lifetimes

Lifetime value in Python

tigramite

Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at

mlforecast

Scalable machine 🤖 learning for time series forecasting.

scikit-uplift

:exclamation: uplift modeling in scikit-learn style in python :snake:

Airbnb-Dynamic-Pricing-Optimization

[BA project] Dynamic Pricing Optimization for Airbnb listing to optimize yearly profit for host. Use Clustering for competitive analysis, kNN regression for demand forecasting, and find dynamic optimal price with Optimization model.

timeshap

TimeSHAP explains Recurrent Neural Network predictions.

amazon-sagemaker-feature-store-end-to-end-workshop

TSInterpret

An Open-Source Library for the interpretability of time series classifiers

sml-project-2023-manfredi-meneghin

Scalable Machine Learning and Deep Learning, Final Project, 2023/2024

mlops-e2e

MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK

Developing-Kaggle-Notebooks

pytorch-scarf

Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representation of tabular data using contrastive learning. It is inspired from SimCLR and uses a similar architecture and loss.

building-ml-system

building machine learning system

airflow-mlflow

MLOps stack example using Airflow, MLflow and other popular tools.

Getting-Started-with-Streamlit-for-Data-Science

awesome-survival-analysis

Resources for Survival Analysis

time_interpret

Unified Model Interpretability Library for Time Series

shirokumas

A set of scikit-learn style transformers for Polars

Temporal-fusion-transformer_Pytorch-Forecasting

Using Temporal Fusion Transformer for Book sales forecasting use case. We use the model implementation available in Pytorch Forecasting library.

LightGBM-cloud-forecast

Scalable gradient boosted decision tree (GBDT) cloud framework to predict daily sales for 40.000+ unique items

BIGTARGET

BIGTARGET Hackathon by LENTA and Microsoft