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andreas-gompos

bbc-topic-classification

Topic classification using GloVe embeddings and a bidirectional LSTM neural network trained on BBC articles

book-notes

Notes from books and other interesting things that I've read. Table of contents at the end 👇

datagusto-backend

datagusto.com

Datagusto hosts a collection of interactive demos of machine learning applications on different domains

dotfiles

hands-on-transfer-learning-with-python

Deep learning simplified by transferring prior learning using the Python deep learning ecosystem

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

human_resources_analytics

hyperparameter-tuning-at-scale

Example implementations on how to perform hyperparameter optimisation at scale on arbitrary models using SageMaker and Polyaxon

kaggle-santander-customer-transaction-prediction-5th-place-partial-solution

Kaggle Competition notebooks

lectures-labs

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

ml-apps

practical-time-series-analysis

Practical Time-Series Analysis, published by Packt

rtb_for_online_ads

scipy-2018-sklearn

Scipy 2017 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller

stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

tensorflow-tutorials

TensorFlow Tutorials with YouTube Videos