Pinned Repositories
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
AIAdventures's Repositories
AIAdventures/ALI
Adversarially Learned Inference
AIAdventures/astroABC
Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.
AIAdventures/auto-sklearn
AIAdventures/auto_ml
Automated machine learning for analytics & production
AIAdventures/autograd
Efficiently computes derivatives of numpy code.
AIAdventures/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
AIAdventures/courses
fast.ai Courses
AIAdventures/deep-forest
An on going implementation of the gcForest algorithm
AIAdventures/deep-learning-keras-tensorflow
Introduction to Deep Neural Networks with Keras and Tensorflow
AIAdventures/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
AIAdventures/first_blog_post
getting started with python
AIAdventures/gambling
Code for paper "A simple algorithm for computing Nash-equilibria in incomplete information games"
AIAdventures/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.
AIAdventures/hyperband
Tuning hyperparams fast with Hyperband
AIAdventures/keras-for-numerai
Participation in the Numerai competition with Keras
AIAdventures/M-LOOP
M-LOOP: Machine-learning online optimization package
AIAdventures/mystic
highly-constrained non-convex optimization and uncertainty quantification
AIAdventures/neon
Intel® Nervana™ reference deep learning framework committed to best performance on all hardware
AIAdventures/neupy
NeuPy is a Python library for Artificial Neural Networks and Deep Learning.
AIAdventures/nntimeseries
AIAdventures/optunity
optimization routines for hyperparameter tuning
AIAdventures/pipeline
PipelineAI: End-to-End ML and AI Platform for Real-time Spark and Tensorflow Data Pipelines
AIAdventures/pymanopt
Python toolbox for optimization on manifolds with support for automatic differentiation
AIAdventures/pytorch-tutorial
tutorial for researchers to learn deep learning with pytorch.
AIAdventures/qcqp
A CVXPY extension for handling nonconvex QCQP via Suggest-and-Improve framework
AIAdventures/scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
AIAdventures/t81_558_deep_learning
WUSTL Course T81-558: Applications of Deep Neural Networks
AIAdventures/tensorflow_cookbook
Code for Tensorflow Machine Learning Cookbook
AIAdventures/tensorfx
TensorFlow framework for training and serving machine learning models
AIAdventures/vnet.pytorch
A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation