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Deep Learning
gans-in-action — Companion repository to GANs in Action: Deep...
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Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
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GANs-in-Action/gans-in-action
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Companion videos and exercises for Manning Publication's Deep Learning with R
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Scavetta/deep-learning-with-r-companion
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Code companion to the O'Reilly "Fundamentals of Deep Learning" book
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darksigma/Fundamentals-of-Deep-Learning-Book
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A unofficial companion repo to the Deep Learning Book by Ian Goodfellow/et.al. Includes code, notebooks, and notes.
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DanburyAI/DeepLearningBookCompanion
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A repository that contains companion Python code and comments to the GBC (Goodfellow, Bengio, Courville) Deep Learning Book. And a blog post on Medium.com:
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ClaudeCoulombe/GBC_book_DeepLearningBook
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This repository holds the companion project to Goby3, used to train and evaluate deep learning models to call variations. This repository contains the Matcha framework to help train and evaluate deep learning models trained with semi-simulation. See docs below for details.
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CampagneLaboratory/variationanalysis
r1.4.0
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Sentdex Deep Learning & Machine Learning Companion Tutorial
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roberttk01/TensorFlowTutorial
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VAEs and GANs for MNIST (UvA 2019 Deep Learning course Assignment)
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ipekgani/Deep-Generative-Models
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This is the project submitted as a part of Facebook PyTorch challenge scholarship Deep Learning Nanodegree program. The original repo of Udacity can be found at https://github.com/udacity/deep-learning-v2-pytorch
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sanmitraD/Artificial-face-generation-using-GANs
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Project for 10-707: Deep Learning
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nitish-kulkarni/Generation-of-vector-images-using-GANs
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Codes related to the Deep Learning & Computer Vision course I completed on Udemy.
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an0nh4x0r/Deep-Learning-and-Computer-Vision-A-Z-OpenCV-SSD-GANs
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Repo for Deep Learning Projects in NLP, GANs, Computer Vision
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akshaybhatia10/Deep-Learning-Mini-Projects
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Quickstart to deep learning with Keras, GANs, and hyperparameter optimization.
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peterjsadowski/keras_tutorial
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A list of recent papers regarding deep learning, reinforcement learning, GANs.
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chahatdeep/awesome-papers
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Building a Deep Learning model which generates realistic celebrity faces using GANs.
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sakarayajitesh/Celebrity-Face-Generation
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Deep Learning Archtectures (DNNs, LSTM, RNNs, CNNs, GANs), Regression, Classification, Multivariate Time Series, Hyperparametrization.
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FabricioProjects/Deep-Learning
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Implementation of https://arxiv.org/abs/1610.08401 for the CS-E4070 - Special Course in Machine Learning and Data Science: Advanced Topics in Deep Learning course at Aalto University, Finland.
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NetoPedro/Universal-Adversarial-Perturbations-Pytorch
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Code replicating the results of our "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers" paper
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Hadisalman/smoothing-adversarial
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Code for the paper "Adversarial Attacks Against Medical Deep Learning Systems"
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sgfin/adversarial-medicine
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A curated list of awesome resources for adversarial examples in deep learning
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chbrian/awesome-adversarial-examples-dl
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Final Project for EECS 498/598 Deep Learning
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boyuanmike/Adversarial-Metric-Learning
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Adversarial Examples: Attacks and Defenses for Deep Learning
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ifding/adversarial-examples
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Segmentation of the cerebrovascular system using deep learning and adversarial training
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SANCHES-Pedro/Segmentation-Adversarial_Networks
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Use a Jupyter notebook to integrate the Adversarial Robustness Toolbox (ART) into a neural network model training pipeline with Fabric for Deep Learning to find model vulnerabilities.
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IBM/integration-of-adversarial-attacks-in-training-pipeline
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Generating maps from satellite imagery using deep learning with generative adversarial networks.
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RamaneekGill/MapGen
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Deep Learning in Action ( ^ _ ^ ) V
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Genpeng/dl-in-action
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Deep Learning applied to classifying intentional arm movements from brain activities.
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normandipalo/eeg-to-action
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Deep Learning with TensorFlow Workshop 5 - Generative Model
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tf-dl-workshop/tf-generative-workshop
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The official accompanying codebase for the O'Reilly book Generative Deep Learning
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davidADSP/generative_deep_learning_code
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Action Recognition using Deep Learning
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PatrickgHayes/Action_Recognition