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24 search results found

Tensorflow Generative Model Collections ⭐ 3,570

Collection of generative models in Tensorflow

Repo 2017 ⭐ 1,146

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

Intro_dgm ⭐ 758

An Introduction to Deep Generative Modeling: Examples

Focal Frequency Loss ⭐ 407

[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis

Pytorch Rl ⭐ 356

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Deep Generative Models For Natural Language Processing ⭐ 330

DGMs for NLP. A roadmap.

Generative_models_tutorial_with_demo ⭐ 268

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

Video_prediction ⭐ 199

Stochastic Adversarial Video Prediction

Unsupervised_anomaly_detection_brain_mri ⭐ 123

Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study

Rectorch ⭐ 104

rectorch is a pytorch-based framework for state-of-the-art top-N recommendation

An implementation of VAEGAN (variational autoencoder + generative adversarial network).

Unsuperviseddeeplearning Pytorch ⭐ 63

This repository tries to provide unsupervised deep learning models with Pytorch

Awesome Denovo Papers ⭐ 53

Awesome De novo drugs design papers

Artificialintelligenceengines ⭐ 48

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

Precision Recall Distributions ⭐ 38

Assessing Generative Models via Precision and Recall (official repository)

Tt Vae Gan ⭐ 34

Timbre transfer with variational autoencoding and cycle-consistent adversarial networks. Able to transfer the timbre of an audio source to that of another.

Generative_continual_learning ⭐ 33

Numpy Nn Model ⭐ 32

Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.

Cifarvae ⭐ 30

Variational Auto Encoder

Ntire22_inpainting ⭐ 24

NTIRE 2022 - Image Inpainting Challenge

Generator loss to reduce mode-collapse and to improve the generated samples quality.

Pdetraversal ⭐ 17

ICML23 "Latent Traversals in Generative Models as Potential Flows"

Alphagan ⭐ 17

A PyTorch implementation of alpha-GAN

Variationalautoencoders ⭐ 17

Comparison of Variational Autoencoders with Bayesian Neural Networks. Accuracy, Latent space, Reconstruction and White Noise filtering.

Awesome Generative Modeling Under Data Constraints ⭐ 16

A Comprehensive List of Works for Generative Modeling with Limited Data, Few Shots, and Zero Shot

Probaforms ⭐ 16

Conditional normalizing flows (NFs), conditional GANs, and conditional variational autoencoders (CVAEs) with sklearn-like interface

Deep Blueberry ⭐ 14

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

Generative Models ⭐ 7

Tutorial on deep generative models with experiments on MNIST

Image Compression ⭐ 7

Image compression using Variational Autoencoder and Generative Adversarial Networks.

Machine Learning Portfolio ⭐ 7

Assorted machine learning implementations for medical data

Generative Deep Learning ⭐ 6

Road towards diffusion models.

Tensorflow Advanced Techniques Solutions ⭐ 6

This repository contains my solutions for the Coursera course TensorFlow: Advanced Techniques Specialization. Expand your knowledge of the Functional API and build exotic non-sequential model types. Learn how to optimize training in different environments with multiple processors and chip types and get introduced to advanced computer vision scenarios such as object detection, image segmentation, and interpreting convolutions. Explore generative deep learning including the ways AIs can create new

Randomcode ⭐ 6

Rannnnnnnnndoooooooommmmm Code

Hiding Images Using Vae Genarative Adversarial Networks ⭐ 5

Variational Autoencoder-Generative Adversarial Network (VAE-GAN) to hide data inside images

Generative Models ⭐ 5

Repository for self-teaching of Generative Models and its applications.

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