pizpizpie

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

Awesome-GANs

Awesome Generative Adversarial Networks with tensorflow

BPL

Bayesian Program Learning model for one-shot learning

BreastCancer_Classification

Machine learning classifier for cancer tissues

BreastCancerNeuralNetwork

Implementation of a Neural Network in .NET using the Diagnostic Wisconsin Breast Cancer Database.

cancer-deep-learning-model

TensorFlow Deep Learning neural network model for University of Wisconsin Cancer data

cifar-10-cnn

Play deep learning with CIFAR datasets

Conditional-Gans

The test code for Conditional convolutional adversarial networks.

dcgan

A Tensorflow Implementation of "Deep Convolutional Generative Adversarial Networks" - (EASY to READ)

pizpizpie/Awesome-GANs

Awesome Generative Adversarial Networks with tensorflow

pizpizpie/BreastCancer_Classification

Machine learning classifier for cancer tissues

pizpizpie/cancer-deep-learning-model

TensorFlow Deep Learning neural network model for University of Wisconsin Cancer data

pizpizpie/cifar-10-cnn

Play deep learning with CIFAR datasets

pizpizpie/Conditional-Gans

The test code for Conditional convolutional adversarial networks.

pizpizpie/dcgan

A Tensorflow Implementation of "Deep Convolutional Generative Adversarial Networks" - (EASY to READ)

pizpizpie/DCGAN-CIFAR10

A implementation of DCGAN (Deep Convolutional Generative Adversarial Networks) for CIFAR10 image

pizpizpie/dcgan_code

Deep Convolutional Generative Adversarial Networks

pizpizpie/deepchem

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

pizpizpie/deeplearning-tensorflow-keras

pizpizpie/DeepLearningTutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

pizpizpie/dvn

Reference implementation for Structured Prediction with Deep Value Networks

pizpizpie/Fundamentals-of-Deep-Learning-Book

Code companion to the O'Reilly "Fundamentals of Deep Learning" book

pizpizpie/fundamentals-of-deep-learning-ja

『実践 Deep Learning』のリポジトリ

pizpizpie/GAN-MNIST

Generative Adversarial Network for MNIST with tensorflow

pizpizpie/ganhacks

starter from "How to Train a GAN?" at NIPS2016

pizpizpie/introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

pizpizpie/keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

pizpizpie/keras-contrib

Keras community contributions

pizpizpie/Keras-GAN

Keras implementations of Generative Adversarial Networks.

pizpizpie/keras-oneshot

koch et al, Siamese Networks for one-shot learning, (mostly) reimplimented in keras

pizpizpie/myNN

Simple example of Neural Networks and Deep Learning in C++.

pizpizpie/neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

pizpizpie/Python-Machine-Learning-Codes

pizpizpie/tensorflow

Computation using data flow graphs for scalable machine learning

pizpizpie/tensorflow.cifar10

The examples of image recognition with the dataset CIFAR10 via tensorflow.

pizpizpie/tetris_mcts

MCTS project for Tetris

pizpizpie/WassersteinGAN

pizpizpie/weightnorm

Example code for Weight Normalization, from "Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks"

pizpizpie/wgan-gp

A pytorch implementation of Paper "Improved Training of Wasserstein GANs"