Oscar's repositories
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
cnn-benchmarks
Benchmarks for popular CNN models
deep-learning-nano-foundation
Udacity's Deep Learning Nano Foundation program.
docker-luigi
A project to help develop Luigi pipelines using Docker ✳️
fairseq
Facebook AI Research Sequence-to-Sequence Toolkit
flasky
Companion code to my O'Reilly book "Flask Web Development", second edition.
ganhacks
starter from "How to Train a GAN?" at NIPS2016
GPyOpt
Gaussian Process Optimization using GPy
keras_transfer_cifar10
Object classification with CIFAR-10 using transfer learning
learn-to-select-data
Code for Learning to select data for transfer learning with Bayesian Optimization
leveling-up-jupyter
Leveling up your Jupyter notebook skills
machine-learning
Content for Udacity's Machine Learning curriculum
ml-training-advanced
Materials for the "Advanced Scikit-learn" class in the afternoon
mlxtend
A library of extension and helper modules for Python's data analysis and machine learning libraries.
numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
pattern_classification
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
personal
Contains Jupiter Notebooks of stuff I am working on.
pipeline-docs
Some Pipeline.IO Usecase Documentation
rivescript-python
A RiveScript interpreter for Python. RiveScript is a scripting language for chatterbots.
scikit-learn
scikit-learn: machine learning in Python
SMAC3
Sequential Model-based Algorithm Configuration
spearmint
Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012
tensorflow
Computation using data flow graphs for scalable machine learning