6427 Open source projects that are alternatives of or similar to Pytorch Vae

Protein function prediction using a variational autoencoder

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

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

PyTorch implementation of "Auto-Encoding Variational Bayes"

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Model Compression Based on Geoffery Hinton's Logit Regression Method in Keras applied to MNIST 16x compression over 0.95 percent accuracy.An Implementation of "Distilling the Knowledge in a Neural Network - Geoffery Hinton et. al"

🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

Image Tampering Detection using ELA and CNN

PyTorch tutorial for learners

Tacotron 2 - PyTorch implementation with faster-than-realtime inference modified to enable cross lingual voice cloning.

Detecting cinema shot types using a ResNet-50

implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow

Visualisations for Convolutional Neural Networks in Pytorch

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR10 datasets

Reducing the size of convolutional neural networks

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

Keras implementation of a CNN network for age and gender estimation

Text to Speech with PyTorch (English and Mongolian)

Object classification with CIFAR-10 using transfer learning

Detect and recognize The Simpsons characters using Keras and Faster R-CNN

Hiding Images within other images using Deep Learning

Multi-Person Pose Estimation project for Tensorflow 2.0 with a small and fast model based on MobilenetV3

CNN image classifier implemented in Keras Notebook 🖼️.

Master 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.

Binary Convolution Network for faster real-time processing in ASICs

Google Street View House Number(SVHN) Dataset, and classifying them through CNN

Implementations of some popular Saliency Maps in Keras

Best Practices, code samples, and documentation for Computer Vision.

CNN 1D vs 2D audio classification

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuous transformations groups (ICML 2019). Paper: https://arxiv.org/abs/1901.11399

This toolbox is support material for the book on CNN (http://www.convolution.network).

Breast Cancer Classification using CNN and transfer learning

Generating Captions for images using Deep Learning

Notebooks about Bayesian methods for machine learning

Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.

Code for "MojiTalk: Generating Emotional Responses at Scale" https://arxiv.org/abs/1711.04090

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition

a collection of my notes on deep learning

Understanding normalizing flows

Learned representation for Offline Handwritten Signature Verification. Models and code to extract features from signature images.

Reproduce CheXNet

Tensorflow implementation of conditional variational auto-encoder for MNIST

Assignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.

Important paper implementations for Question Answering using PyTorch

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

A machine learning experiment

Variational Autoencoder for Dimensionality Reduction of Time-Series

A Tensorflow implementation of CapsNet(Capsules Net) apply on german traffic sign dataset

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Code examples for training AlexNet using Keras and Theano

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

A journey into Convolutional Neural Network visualization