Some code towards anomaly detection
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Updated
Apr 9, 2018 - Python
Some code towards anomaly detection
The Pytorch implementation of the NIPS 2018 paper
Use generative models to do some art from existing images or videos.
a VAE trained on the image representation of midi files. 💾
Handwritten Digit Generation with VAE and GAN are applied.
Implementation of generative models for the design of small molecules
MPCC: Matching Priors and Conditional for Clustering. Official implementation
Workspace used for the course Machine Learning for Graphs and Sequential Data
Implementation of Variational Memory Addressing for generative few-shot learning in PyTorch
PyTorch re-implementation of "Generating Sentences from a Continuous Space" by Bowman et al. (2015), using BART encoder and GRU decoder with beam search.
Links to my works, where a variety of generative models are implemented using TensorFlow and PyTorch. Among the implemented models are Autoencoder, VAE, GAN, Pix2Pix, among others.
A Tensorflow-layer API Implementation of Deep Generative Models (MNIST Examples)
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