nchukalovskiy

awesome-time-series

list of papers, code, and other resources

Top2Vec

Top2Vec learns jointly embedded topic, document and word vectors.

fortuna

A Library for Uncertainty Quantification.

causalml

Uplift modeling and causal inference with machine learning algorithms

bonds-risk

Financial risks of bonds

loguru

Python logging made (stupidly) simple

pycox

Survival analysis with PyTorch

cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

Awesome-Uplift-Model

🛠 How to Apply Causal ML to Real Scene Modeling？How to learn Causal ML？【✔从Causal ML到实际场景的Uplift建模】

datasketch

MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW

scorecardpy

Scorecard Development in python, 评分卡

py_entitymatching

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

spearmint

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

StableLM

StableLM: Stability AI Language Models

llama

Inference code for Llama models

cfrnet

Counterfactual Regression

DiCE

Generate Diverse Counterfactual Explanations for any machine learning model.

questdb

An open source time-series database for fast ingest and SQL queries

awesome-chatgpt

⚡ Everything about ChatGPT

prettymaps

A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.

ml_system_design_doc_ru

The-Kaggle-Workbook

Code Repository for The Kaggle Workbook, Published by Packt

Merlion

Merlion: A Machine Learning Framework for Time Series Intelligence

uncertainty-toolbox

Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

ruff

An extremely fast Python linter and code formatter, written in Rust.

sktime

A unified framework for machine learning with time series

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.

WPE_fishing_fleet

The implementation of a process of traffic and activity of the fishing fleet based on AIS data

diffusion-models-class

Materials for the Hugging Face Diffusion Models Course