The files should stored in ``data/{dir}`` and named ``0.npy, 1.npy, {num - 1}.npy``. Returns: list: A list of loaded data, such that ``list[i]`` contains the the contents of ``i.npy``. """ root = os.path.abspath(os.path.dirname(__file__)) def get_path…
Generating Images from Captions with Attention. Contribute to mansimov/text2image development by creating an account on GitHub. Keras implementation of Balancing GAN (Bagan) applied to the Mnist example. - IBM/Bagan Trades (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization) - yaodongyu/Trades Updated to the Keras 2.0 API. GitHub Gist: instantly share code, notes, and snippets. Let's suppose that the data is stored in x_tr.npy, y_tr.npy, x_te.npy and y_te.npy files. We will assume that x_tr.npy and x_te.npy have shapes of the form (?, 8, 8, 1). We can then define the class corresponding to this dataset in bgan_util… Contribute to daib13/TwoStageVAE development by creating an account on GitHub.
Python Cheat Sheets - Free download as PDF File (.pdf), Text File (.txt) or view presentation slides online. Desk reference for basic python syntax and data structures Code for a LEGO EV3 robot that scans and solves sudoku puzzles using a webcam, then prints its answers - nathanchrs/sudokuscanner Contribute to AlexConnat/MPC-Aggreg development by creating an account on GitHub. code for "Residual Flows for Invertible Generative Modeling". - rtqichen/residual-flows Coding exercises for UPC QML course. Contribute to adauphin/QML-Course-UPC-2018 development by creating an account on GitHub. Code for reproducing work of ICML 2019 paper: Memory-Optimal Direct Convolutions for Maximizing Classification Accuracy in Embedded Applications - agural/memory-optimal-direct-convolutions
#!/usr/bin/env sh Caffe_ROOT=/path/to/caffe mkdir dogvscat DOG_VS_CAT_Folder=/path/to/dogvscat cd $DOG_VS_CAT_Folder ## Download datasets (requires first a login) #https://www.kaggle.com/c/dogs-vs-cats/download/train.zip #https://www.kaggle… The implementation of Temporal Generative Adversarial Nets with Singular Value Clipping - pfnet-research/tgan The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Python. The Toolbox realizes LRP functionality for the Caffe Deep Learning Framework as an extension of… a deep recurrent model for exchangeable data. Contribute to IraKorshunova/bruno development by creating an account on GitHub. Fashion Mnist: Download the data from: https://github.com/zalandoresearch/fashion-mnist OpenNIG is a toolkit that generates new images from a given distribution. - avramandrei/OpenNIG GANs with multiple Discriminators. Contribute to iDurugkar/GMAN development by creating an account on GitHub.
Generating Images from Captions with Attention. Contribute to mansimov/text2image development by creating an account on GitHub. Keras implementation of Balancing GAN (Bagan) applied to the Mnist example. - IBM/Bagan Trades (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization) - yaodongyu/Trades Updated to the Keras 2.0 API. GitHub Gist: instantly share code, notes, and snippets. Let's suppose that the data is stored in x_tr.npy, y_tr.npy, x_te.npy and y_te.npy files. We will assume that x_tr.npy and x_te.npy have shapes of the form (?, 8, 8, 1). We can then define the class corresponding to this dataset in bgan_util…
a deep recurrent model for exchangeable data. Contribute to IraKorshunova/bruno development by creating an account on GitHub.
