MarcLafon

heatood

Deep-Learning-in-Production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

awesome-ebm

Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)

Coding

deep-spark

Connecting Apache Spark with different data stores [DEPRECATED]

deep-voice-conversion

Deep neural networks for voice conversion (voice style transfer) in Tensorflow

deepdream

DeepLearning

Deep learning code by Hinton

DetectAndTrack

The implementation of an algorithm presented in the CVPR18 paper: "Detect-and-Track: Efficient Pose Estimation in Videos"

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

face_recognition

The world's simplest facial recognition api for Python and the command line

Facial-keypoints-Detection

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit

HoughTransform

Keras-GAN

Keras implementations of Generative Adversarial Networks.

langdetect

Port of Google's language-detection library to Python.

magenta

Magenta: Music and Art Generation with Machine Intelligence

MarcLafon.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

ml-benchmarks

Benchmarks for various machine learning packages

MNIST

Machine Learning analyses of the MNIST database of handwritten digits

nmp_qc

Neural Networks on graphs

reinforcement-learning

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

RL-Sutton-Barto

sonnet

TensorFlow-based neural network library

spark_box

sparkling-water

Sparkling Water provides H2O functionality inside Spark cluster

uq-course

Introduction to Uncertainty Quantification