maxgrossenbacher

music

test for version control ableton

coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

deeplearning-notes

Notes for Deep Learning Specialization Courses led by Andrew Ng.

pos_data

deep_learning_specialization

Notebooks/Code from Coursera Deep Learning Specialization

skin_cancer_detection

using public dataset to classify different types of skin legions

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Reuse_me

Collection of useful functions for data-prep, model training frameworks, and plotting

lectures-labs

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

GCP_MOVES

Expedia_hotel_recommendation_kaggle

Kaggle Competition for likely hotels booked by Expedia Users

data-science-on-gcp

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

PGA-Tour-Data-Science-Project

lime

Lime: Explaining the predictions of any machine learning classifier

spacy-vectorizers

Scikit-learn compatible vectorizers built with spaCy NLP famework.

caffe-segnet

Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling

mlm

Docker setup for (Bayesian) Multilevel modelling of spatial data in Python/R

DeepBeer

Experimentations on beers recsys using Keras

tsfresh

Automatic extraction of relevant features from time series:

pyeeg

Python + EEG/MEG = PyEEG

deeplearningwfastai

chess

Building python chess game and AI

courses

fast.ai Courses

Forecasting_daily_spotify_streams

Discovering streaming trends using TimeSeries and forecasting number of Spotify streams using ARIMA.

Docker_tutorial

Getting to know Docker

nlp_yelp_reviews

Using machine learning and natural language processing to discover latent topics/keywords for rated businesses and predict rating, sentiment, and probability of usefulness of user reviews

Galvanize-Portfolio

Collection of case studies I have completed while working through the Galvanize Data Science Immersive Program

h2o-tutorials

Tutorials and training material for the H2O Machine Learning Platform

folium

Python Data. Leaflet.js Maps.

machine-learning

Content for Udacity's Machine Learning curriculum