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kaggle_insults

Kaggle Submission for "Detecting Insults in Social Commentary"

kaggle_ops

My best submission to the Kaggle competition "Online Product Sales", ranked 21th over 366 teams.

kaggle_pbr

My best submission to the Kaggle competition "Predicting a Biological Response", ranked 17th over 711 teams.

kalman-and-bayesian-filters-in-python

Kalman Filter textbook using Ipython Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

keras-hello-world

kombu-examples

law_and_order

playing with Law & Order data

lda-cython

Topic Model or LDA in Cython

lectures

Oxford Deep NLP 2017 course

lectures-labs

Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay

logit

lstm-crypto-predictor

Predicting cryptocurrency price using RNN-LSTM networks

lstm-oreilly

How to build a Multilayered LSTM Network to infer Stock Market sentiment from social conversation using TensorFlow.

lstm_autoencoder_classifier

An LSTM Autoencoder for rare event classification

machine-learning-nd

Udacity's Machine Learning Nanodegree project files and notes.

mastering-tensorflow-1x

Mastering TensorFlow 1x, published by Packt

mayb

A recommendation system for who are using pinterest.

medium_notebook

Repository containing notebooks of my post on Medium

mezzenger

mingpt

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

ml-tutorial

Machine Learning Basics - Tutorial

ml4webdevs

Code for my Machine Learning class at PyGotham Sept 16th-17th

ml_for_hackers

Code accompanying the book "Machine Learning for Hackers"

morb

Modular Restricted Boltzmann Machine (RBM) implementation using Theano

mturk

IPython Notebook for data processing with mechanical turk

multivariate-time-series-forecast-using-seq2seq-in-tensorflow

music_recommender

Music recommender using deep learning with Keras and TensorFlow

naive-bayes-gibbs-sampler

Gibbs sampler for for a Naive Bayes document classifier

netflix_als

Simple Alternating Least Squares (ALS) recommender implementation for the Netflix dataset

neural

neural networks, sparse encoders, and recursive auto encoder sin python