A. Celis's repositories
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
CE7454_2019
Deep learning course CE7454, 2019
cpp_project_template
C++ Project Template using CMake, Google Test, and Doxygen.
flask-neo4j
Flask extension providing integration with the Neo4j graph database.
google-taxonomy-matcher
Matches a category of Google's Taxonomy to product that is described in any kind of text data
hello_search
A search and recommender system based on Elasticsearch, Neo4j, Flask, Apache
introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
movies-python-bolt
Neo4j Example application with flask backend using the neo4j-python-driver
neo4j-flask
Flaskr Extended with Neo4j and Py2neo.
nyt-comments
New York Times graph with toy collaborative filtering recommender
poincare-embedding-using-gensim
Train poincare embedding using gensim
PyPattyrn
A simple library for implementing common design patterns.
PySpark-and-MLlib
Getting start with PySpark and MLlib
Python-Flask-neo4j-Heroku-Example
Example of using Python, Flask and neo4j on Heroku
python-patterns
Source code behind the python-patterns.guide site by Brandon Rhodes
sphinx-tutorial
Exercises for the Sphinx Tutorial that I used to present each year at PyCon
torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.