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15780

homeworks for grad AI class at Carnegie Mellon University

adversarial-validation

Creating a better validation set when test examples differ from training examples

ali

Adversarially Learned Inference

astroabc

Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.

auto-sklearn

auto_ml

Automated machine learning for analytics & production

autograd

Efficiently computes derivatives of numpy code.

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

courses

fast.ai Courses

deep-forest

An on going implementation of the gcForest algorithm

deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

eigenvalue-decay-regularizer-for-keras

Eigenvalue Decay is a new option of weight regularizer to the deep learning practitioner that aims at maximum-margin learning.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

first_blog_post

getting started with python

gambling

Code for paper "A simple algorithm for computing Nash-equilibria in incomplete information games"

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.

hyperband

Tuning hyperparams fast with Hyperband

keras-for-numerai

Participation in the Numerai competition with Keras

m-loop

M-LOOP: Machine-learning online optimization package

mystic

highly-constrained non-convex optimization and uncertainty quantification

neon

Intel® Nervana™ reference deep learning framework committed to best performance on all hardware

neupy

NeuPy is a Python library for Artificial Neural Networks and Deep Learning.

nntimeseries

optunity

optimization routines for hyperparameter tuning

pipeline

PipelineAI: End-to-End ML and AI Platform for Real-time Spark and Tensorflow Data Pipelines

pymanopt

Python toolbox for optimization on manifolds with support for automatic differentiation

pytorch-tutorial

tutorial for researchers to learn deep learning with pytorch.

qcqp

A CVXPY extension for handling nonconvex QCQP via Suggest-and-Improve framework

safeopt

Safe Bayesian Optimization

scikit-optimize

Sequential model-based optimization with a `scipy.optimize` interface