Deep Learning With PythonExample projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.
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PsganPeriodic Spatial Generative Adversarial Networks
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Generative adversarial networks 101Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
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CatdcganA DCGAN that generate Cat pictures 🐱💻
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Gans In ActionCompanion repository to GANs in Action: Deep learning with Generative Adversarial Networks
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Gan TutorialSimple Implementation of many GAN models with PyTorch.
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Earthengine Py NotebooksA collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping
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SparkmagicJupyter magics and kernels for working with remote Spark clusters
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Dcgan PytorchPyTorch Implementation of DCGAN trained on the CelebA dataset.
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Context Encoder[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs
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Jupyterlab LspCoding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol
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LambdaschooldatascienceCompleted assignments and coding challenges from the Lambda School Data Science program.
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Machine Learning From ScratchSuccinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.
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AvgnA generative network for animal vocalizations. For dimensionality reduction, sequencing, clustering, corpus-building, and generating novel 'stimulus spaces'. All with notebook examples using freely available datasets.
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TpudcganTrain DCGAN with TPUs on Google Cloud
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Allstate capstoneAllstate Kaggle Competition ML Capstone Project
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Gan VisVisualization of GAN training process
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Nbconfluxnbconflux converts Jupyter Notebooks to Atlassian Confluence pages
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Python ThenotheoryguideJupyter NoteBooks to get you boosted with the basics of python with hands-on-practice.
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Spark Py NotebooksApache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
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Ganotebookswgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch
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Keras Idiomatic ProgrammerBooks, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
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Fewshot Face Translation GanGenerative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.
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Machine Learning머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
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PrmlPRML algorithms implemented in Python
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Spark R Notebooks R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks
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Keras DcganKeras implementation of Deep Convolutional Generative Adversarial Networks
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Dcgan TensorflowA tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
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Discogan PytorchPyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"
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Facenet Face RecognitionThis is the research product of the thesis manifold Learning of Latent Space Vectors in GAN for Image Synthesis. This has an application to the research, name a facial recognition system. The application was developed by consulting the FaceNet model.
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Machine Learning NotebooksAssorted exercises and proof-of-concepts to understand and study machine learning and statistical learning theory
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Dcgan TensorflowA Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.
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Pix2pixImage-to-image translation with conditional adversarial nets
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Pytorch BookPyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
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Nteract📘 The interactive computing suite for you! ✨
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Sprint ganPrivacy-preserving generative deep neural networks support clinical data sharing
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Wasserstein GanChainer implementation of Wasserstein GAN
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CaloganGenerative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation
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GanspaceDiscovering Interpretable GAN Controls [NeurIPS 2020]
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Ipyexperimentsjupyter/ipython experiment containers for GPU and general RAM re-use
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FastdocCreate publication-quality books from Jupyter notebooks
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Capsule GanCode for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".
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Image classifierCNN image classifier implemented in Keras Notebook 🖼️.
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Practical Machine Learning With PythonMaster the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
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StarnetStarNet
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Awesome GansAwesome Generative Adversarial Networks with tensorflow
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JupytemplateTemplates for jupyter notebooks
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