jabogithub

100-Days-Of-ML-Code

100 Days of ML Coding

100_Days_of_ML_Code

These are the instructions for "100 Days of ML Code" By Siraj Raval on Youtube

ai_law

all kinds of baseline models for long text classificaiton( text categorization)

AIX360

Interpretability and explainability of data and machine learning models

Artificial-Intelligence-with-Python

Code repository for Artificial Intelligence with Python, published by Packt

chess-alpha-zero

Chess reinforcement learning by AlphaGo Zero methods.

NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

PyDataAmsterdam2018

Contents of the workshop "Hands-on introduction to Deep Learning with Keras and Tensorflow" I gave at PyData Amsterdam 2018

rl-teacher

Code for Deep RL from Human Preferences [Christiano et al]. Plus a webapp for collecting human feedback

samenvattr

jabogithub/AIX360

Interpretability and explainability of data and machine learning models

jabogithub/anchor

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

jabogithub/causalml

Uplift modeling and causal inference with machine learning algorithms

jabogithub/Churn_prediction_Sparkify

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

jabogithub/cmix

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

jabogithub/fairseq

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

jabogithub/feature-engineering

Tips for Advanced Feature Engineering

jabogithub/FeatureSelectionIntegrOMICs

How to us univariate and multivariate feature selection for OMICs integration

jabogithub/iBreakDown

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

jabogithub/industry-machine-learning

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

jabogithub/latent-k

Reconstructing latent variables using prior knowledge

jabogithub/lifelines

Survival analysis in Python

jabogithub/mediation

R package mediation

jabogithub/Megatron-LM

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

jabogithub/MelNet

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

jabogithub/mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

jabogithub/modeldrift

Capturing model drift and handling its response - Example webinar

jabogithub/moe

Misspelling Oblivious Word Embeddings

jabogithub/musicautobot

Using deep learning to generate music in MIDI format.

jabogithub/Plant_Disease_Detection

Plant Disease Detector Web Application

jabogithub/py-causal

jabogithub/pyforest

Lazy-import of all popular Python Data Science libraries

jabogithub/r-causal

R Wrapper for Tetrad Library

jabogithub/RAdam

On The Variance Of The Adaptive Learning Rate And Beyond

jabogithub/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)

jabogithub/reinforcement-learning

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

jabogithub/schoolofAI_enschede

Lecture notes and code

jabogithub/Skater

Python Library for Model Interpretation/Explanations

jabogithub/tf-explain

Interpretability Methods for tf.keras models with Tensorflow 2.0

jabogithub/The-Neural-Qubit

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