6021 Open source projects that are alternatives of or similar to Joint Vae

PyTorch implementation of VQ-VAE by Aäron van den Oord et al.

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Protein function prediction using a variational autoencoder

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A Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

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A collection of demos showcasing automated feature engineering and machine learning in diverse use cases

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Facenet implementation by Keras2

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🎨 数学公式识别增强版：中英文手写印刷公式、支持初级符号推导（数据结构基于 LaTeX 抽象语法树）

[NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.

VERIS Community Database

Ephemera and other documentation associated with the 1337list project.

Interactive plotting for Python.

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Making carbon footprint data available to everyone.

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A workshop for scientific computing in Python. ( December 2017 )

Vector Quantized VAEs - PyTorch Implementation

Repo for Udacity's Secure & Private AI course

Named Tensor implementation for Torch

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Renderers and renderer extensions for JupyterLab

Machine learning course materials.

Experiments for understanding disentanglement in VAE latent representations

Production Data Science: a workflow for collaborative data science aimed at production

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Methods to get the probability of a changepoint in a time series.

Slides and exercises for the Deep Learning Summer School 2015 programming tutorials

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Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.

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Reference code for "Motion-supervised Co-Part Segmentation" paper

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