jabogithub

AIX360

Interpretability and explainability of data and machine learning models

anchor

Code for "High-Precision Model-Agnostic Explanations" paper

causalml

Uplift modeling and causal inference with machine learning algorithms

Churn_prediction_Sparkify

Predicting music streaming service user churn on local machine and AWS EMR using Apache Spark.

cmix

cmix is a lossless data compression program aimed at optimizing compression ratio at the cost of high CPU/memory usage.

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

feature-engineering

Tips for Advanced Feature Engineering

FeatureSelectionIntegrOMICs

How to us univariate and multivariate feature selection for OMICs integration

iBreakDown

Break down ML model predictions with variable attribution (LIME, SHAP, BreakDown)

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries.

latent-k

Reconstructing latent variables using prior knowledge

lifelines

Survival analysis in Python

mediation

R package mediation

Megatron-LM

Ongoing research training transformer language models at scale, including: BERT

MelNet

WIP: Open Source Implementation of "MelNet: A Generative Model for Audio in the Frequency Domain"

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

modeldrift

Capturing model drift and handling its response - Example webinar

moe

Misspelling Oblivious Word Embeddings

musicautobot

Using deep learning to generate music in MIDI format.

Plant_Disease_Detection

Plant Disease Detector Web Application

py-causal

pyforest

Lazy-import of all popular Python Data Science libraries

r-causal

R Wrapper for Tetrad Library

RAdam

On The Variance Of The Adaptive Learning Rate And Beyond

Real-time-Sentiment-Tracking-on-Twitter-for-Brand-Improvement-and-Trend-Recognition

A real-time interactive web app based on data pipelines using streaming Twitter data, automated sentiment analysis, and MySQL&PostgreSQL database (Deployed on Heroku)

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

schoolofAI_enschede

Lecture notes and code

Skater

Python Library for Model Interpretation/Explanations

tf-explain

Interpretability Methods for tf.keras models with Tensorflow 2.0

The-Neural-Qubit

This is the code "The Neural Qubit", the quantum machine learning research paper & video by Siraj Raval