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adversarially-learned-anomaly-detection

ALAD (Proceedings of IEEE ICDM 2018) official code

cyclegan-tensorflow

An implementation of CycleGan using TensorFlow

datascience101

Data science repository for the Finish Off school, Algiers

deep-learning-keras

Assigments for the MVA Deep Learning Class

deepmodels-mnist-cifar10-tensorflow

Implementations of gans, ae, and vae using Tensorflow.

dl2w

Workshop materials, by the Deep Learning 2.0 team in I2R, A*STAR, Singapore

efficient-gan-anomaly-detection

gan-manifold-reg

This is the code we used in our paper Manifold regularization with GANs for semi-supervised learning

hands-on-tensorboard

This is an implementation of what is displayed step by step in "Hands-on Tensorboard" vidéo from official Tensorflow tutorial video at https://www.youtube.com/watch?v=eBbEDRsCmv4, the final source code is available at https://goo.gl/ZwGnPE. This repo is of course mainly inspired from this tutorial and its source code. However, it has the specificity of giving all steps that are explained during the tutorial, which helps to understand the whole video, instead of seeing the final code without intermediary steps... It is implemented with method tf.get_variable() instead of class tf.Variable, therefore there are some differences with original source code. Tensorflow official documentations explains that tf.get_variable() is better for Multi-GPU computations. Database for training is MNIST

homepage

houssamzenati.github.io

http-traffic-monitoring

Consumes actively written http common log format access log

illustrationgan

A simple, clean TensorFlow implementation of Generative Adversarial Networks with a focus on modeling illustrations.

me

🍎Jalpc -- A flexible Jekyll theme, 3 steps to build your website.

neural-cryptography-tensorflow

Neural Networks that invent their own encryption :key:

probabilistic-context-free-grammar-parser

Basic probabilistic parser for French that is based on the CYK algorithm and the PCFG model and that is robust to unknown words with an OOV Module

pytorch-cyclegan-and-pix2pix

Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)

super-mario-bros-rl

This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super Mario Bros

tutorials

Notebooks used for teaching