Machine learning, in numpy
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Updated
Oct 29, 2023 - Python
Machine learning, in numpy
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络(GAN,Generative Adversarial Network)图像生成的理论与实践研究。
A Collection of Variational Autoencoders (VAE) in PyTorch.
Advanced Deep Learning with Keras, published by Packt
Collection of generative models in Tensorflow
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
Tensorflow implementation of variational auto-encoder for MNIST
A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349
Experiments for understanding disentanglement in VAE latent representations
Vector Quantized VAEs - PyTorch Implementation
Pytorch implementation of β-VAE
Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)
Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.
Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
PyTorch implementation of VQ-VAE by Aäron van den Oord et al.
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