tsterbak

fastapi

FastAPI framework, high performance, easy to learn, fast to code, ready for production

shap

A game theoretic approach to explain the output of any machine learning model.

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

ludwig

Low-code framework for building custom LLMs, neural networks, and other AI models

kedro

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

pyod

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

interpret

Fit interpretable models. Explain blackbox machine learning.

snorkel

A system for quickly generating training data with weak supervision

river

🌊 Online machine learning in Python

textgenrnn

Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.

sacred

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

scikit-plot

An intuitive library to add plotting functionality to scikit-learn objects.

docker-python

Kaggle Python docker image

category_encoders

A library of sklearn compatible categorical variable encoders

alibi

Algorithms for explaining machine learning models

handout

Turn Python scripts into handouts with Markdown and figures

transfer-learning-conv-ai

🦄 State-of-the-Art Conversational AI with Transfer Learning

modeldb

Open Source ML Model Versioning, Metadata, and Experiment Management

magnitude

A fast, efficient universal vector embedding utility package.

tf-explain

Interpretability Methods for tf.keras models with Tensorflow 2.x

apricot

apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/index.html

sagify

LLMs and Machine Learning done easily

holmes-extractor

Information extraction from English and German texts based on predicate logic

xfer

Transfer Learning library for Deep Neural Networks.

keras-multi-head

A wrapper layer for stacking layers horizontally

anonymisation

Anonymization of legal cases (Fr) based on Flair embeddings

skedulord

captures logs and makes cron more fun

SACRED_HYPEROPT_Example

A minimal example for integrating a general machine learning training script with SACRED experimental framework, and HyperOpt (Distributed Asynchronous Hyperparameter Optimization).

dbrequests

python package built for easy use of raw SQL within python and pandas projects

chefkoch