ggchang17

thefuck

Magnificent app which corrects your previous console command.

cleanlab

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

pyro

Deep universal probabilistic programming with Python and PyTorch

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

ML-Course-Notes

🎓 Sharing machine learning course / lecture notes.

tsai

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

Mathematics-for-ML

🧮 A collection of resources to learn mathematics for machine learning

doctr

docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

awesome-machine-learning-interpretability

A curated list of awesome responsible machine learning resources.

ML-Notebooks

:fire: Machine Learning Notebooks

alibi-detect

Algorithms for outlier, adversarial and drift detection

MLE-Flashcards

200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.

awesome-fraud-detection-papers

A curated list of data mining papers about fraud detection.

you-dont-need-a-bigger-boat

An end-to-end implementation of intent prediction with Metaflow and other cool tools

causalML

The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML

interpretable_machine_learning_with_python

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

codebook

The Good Research Code Handbook

GPBoost

Combining tree-boosting with Gaussian process and mixed effects models

stickyland

Break the linear presentation of Jupyter Notebooks with sticky cells!

awesome-full-stack-machine-learning-courses

Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.

pretty-jupyter

Creates dynamic html report from jupyter notebook.

label-sleuth

Open source no-code system for text annotation and building of text classifiers

gam-changer

Editing machine learning models to reflect human knowledge and values

MultiRocket

Multiple pooling operators and transformations for fast and effective time series classification

FREE_7773

Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).

amazon-textract-transformer-pipeline

Post-process Amazon Textract results with Hugging Face transformer models for document understanding

reproducible-and-trustworthy-workflows-for-data-science

secure_ML_ideas

Practical ideas on securing machine learning models

disagree

Visualise, evaluate, and manage annotated data

srepho.github.io