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hp's Projects

deeplearning icon deeplearning

deep learning experiments taken from http://www.deeplearning.net/tutorial/

deslib icon deslib

A Python library for dynamic classifier and ensemble selection

disan icon disan

Code of Directional Self-Attention Network (DiSAN)

dopamine icon dopamine

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

eli5 icon eli5

A library for debugging/inspecting machine learning classifiers and explaining their predictions

enas icon enas

TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"

enas-pytorch icon enas-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

fastai icon fastai

The fast.ai deep learning library, lessons, and tutorials

fasttext icon fasttext

Library for fast text representation and classification.

featexp icon featexp

Feature exploration for supervised learning

flasky icon flasky

Companion code to my O'Reilly book "Flask Web Development".

glove icon glove

GloVe model for distributed word representation

glove-python icon glove-python

Toy Python implementation of http://www-nlp.stanford.edu/projects/glove/

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

h2o-3 icon h2o-3

Open Source Fast Scalable Machine Learning Platform For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), ...)

h2o-tutorials icon h2o-tutorials

Tutorials and training material for the H2O Machine Learning Platform

h2o_tutorials icon h2o_tutorials

Slides and code examples for H2O tutorials at various events

hyperopt icon hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

hyperopt-convnet icon hyperopt-convnet

Convolutional computer vision architectures that can be tuned by hyperopt.

ignite icon ignite

High-level library to help with training neural networks in PyTorch

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