https://github.com/dantas-ds/vae-meandering-rivers

Implementation of a Variational Autoencoder (VAE) for meandering river images using PyTorch

deep-learning image-generation machine-learning meandering-rivers pytorch vae variational-autoencoder

Last synced: 19 Apr 2026

https://github.com/legalaspro/modern_ai_foundations

A collection of implementations exploring modern AI architectures and foundational models.

cvae diffusion-models flowmatching vae vae-pytorch vision-transformer visual-language-models vlms

Last synced: 23 Jun 2025

https://github.com/bjam24/agh-machine-learning

This projects were made for the Machine Learning course at the AGH UST in 2024/2025. Obtained maximum grade 5.0.

agh arima arimax arma autoarima autoencoder cvae dbn dlinear ets gan lime linear nlinear rbm sarima sarimax shap vae

Last synced: 20 Jun 2025

https://github.com/frankroeder/dreamduck

World Models Experiments for Duckietown

baselines deep-learning dreaming duckietown ducks gym gym-environment mixture-density-networks ppo2 reinforcement-learning self-driving self-driving-car vae

Last synced: 16 May 2026

https://github.com/matheussoranco/vae-for-molecule-generation

A VAE model for molecules generation

artificial-intelligence deep-learning molecular-modeling molecule-generation vae

Last synced: 17 Oct 2025

https://github.com/suzuki-2001/pytorch-provlae

Pytorch Implementation of proVLAE

3dshapes beta-vae disentangled-representations disentanglement imagenet mnist pytorch vae

Last synced: 22 Jan 2026

https://github.com/cori4nder/vae-meandering-rivers

Implementation of a Variational Autoencoder (VAE) for meandering river images using PyTorch

deep-learning image-generation machine-learning meandering-rivers pytorch vae variational-autoencoder

Last synced: 12 Apr 2025

https://github.com/d-dawg78/mva_asait

Master MVA - Audio Signal Analysis, Indexing, and Transformations Project

audio-signal-analysis vae voice-conversion

Last synced: 04 Apr 2025

https://github.com/alpha-131/fictive-frames

Fictive Frames is text-to-image synthesis model, employing variational autoencoders, transformers, and UNET architecture. By encoding textual descriptions into latent spaces, it generates high-quality images, optimizing parameter efficiency. This innovative approach streamlines content creation, catering to diverse industries.

diffusion-models transformers vae

Last synced: 15 Mar 2026

https://github.com/arianamani/thesethingsdonotexist

A repository for implementations of different Deep Generative Models

deep-learning gan generative-model image-generation implementation keras pytorch tensorflow vae variational-autoencoder

Last synced: 08 May 2026

https://github.com/ophiase/vsc-for-sparse-vae

Work In Progress | 🎇 Presentation of the VSC model, a variant of VAE - 📔 High Dimensional Statistics

dimensionality-reduction high-dimensional-statistics vae vsc

Last synced: 03 Apr 2025

https://github.com/amanpriyanshu/synthesizedaten

A repository for generating synthetic data (images) using various DL/ML models.

dbn dbnet gans gans-models synthetic-data synthetic-dataset-generation vae vae-implementation vae-pytorch

Last synced: 10 Aug 2025

https://github.com/jiagengchang/myevae

MyeVAE. A multi-modal variation autoencoder with sub-task supervised latent subspace. Used for predicting mortality risk in newly diagnosed myeloma patients.

multi-omics-integration pytorch scikit-learn-pipelines survival-regression vae

Last synced: 16 May 2026

https://github.com/kiwi0fruit/talking-regressor

It's a repo for figuring out ways how to get automatic text summaries to Auto-ML models that perform regression (get compressed and factorized latent representation). Ideally it should be even able to answer questions on properties of that model.

beta-tcvae beta-vae disentangled-representations gpt gpt-2 gpt2 language-model vae

Last synced: 05 Mar 2025

https://github.com/klane/playground

Computer vision playground

cnn gan mnist pytorch tensorflow vae

Last synced: 10 Apr 2026

https://github.com/vidursatija/vq-vae

PyTorch implementation for Neural Discrete Representation Learning https://arxiv.org/abs/1711.00937

pytorch vae vq-vae

Last synced: 17 May 2026

https://github.com/mehdijamalkhah/deep-learning-course-homeworks-s2024

Deep Learning course, Spring 2024, Sharif University of Technology, Dr. Soleymani

bert-fine-tuning cnn diffusion-models dino gan gpt itransformer pytorch rnn stable-diffusion unet vae yolo

Last synced: 09 May 2026

https://github.com/hekmon/comfyui-checkpoint-extract

Extract CLIP and VAE models from a loaded checkpoint in ComfyUI

clip comfyui comfyui-manager comfyui-nodes comfyui-workflow extraction tensorrt vae

Last synced: 30 Jun 2025

https://github.com/addo561/stable-diffusion

A from-scratch PyTorch implementation of Stable Diffusion focused on understanding the mathematics, architecture, and engineering behind latent diffusion models. Built by manually implementing the UNet, attention mechanisms, schedulers, CFG, and latent denoising pipeline while supporting pretrained weight injection.

clip cross-attention sampling unet vae

Last synced: 02 Jun 2026

https://github.com/mehassanhmood/computervision

Image generation using Variation Autoencoders and Genrative adversarial Networks.

computer-vision deep-learning gans genrative-ai vae

Last synced: 27 Mar 2025

https://github.com/jersongb22/vae-tensorflow-pytorch

plotly python pytorch tensorflow vae

Last synced: 17 Apr 2026

https://github.com/enhuiz/food-gen

A collection of generative models for fake foods.

fake-foods gan pytorch torchzq vae

Last synced: 18 Apr 2026

https://github.com/jersongb22/generativedeeplearning

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.

autoencoder cnn cyclegan gan generative-deep-learning neural-style-transfer pix2pix plotly python pytorch tensorflow u-net vae vgg-19

Last synced: 19 Apr 2026

https://github.com/amber-abuah/lstm-vae-procedural-animation-generation

3D procedural animation generation using a LSTM-VAE.

blender-python bpy lstm lstm-vae python pytorch vae vae-pytorch

Last synced: 19 Apr 2026

https://github.com/mahshid1378/parallel-tacotron2

PyTorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling

duration english fastspeech neural-tts non-autoregressive parallel-tacotron parallel-tacotron2 pythorch self-attention speech-synthesis tts txt-to-speech vae

Last synced: 30 Jul 2025

https://github.com/kredde/background-masked-generative-models

Improving OoD performance of generative models by focusing on the semantic information

pixelcnn pytorch-lightning vae

Last synced: 24 Jul 2025

https://github.com/sathya-ml/multimodal-vrnn-vae

A PyTorch implementation of multimodal VRNN and VAE.

conditional-generation generative-model multimodal multimodal-deep-learning multimodal-learning vae vae-implementation vae-pytorch variational-autoencoder vrnn

Last synced: 24 Feb 2025

https://github.com/muhammadsaadx/variational-autoencoder-generating-fake-signatures

This repository implements a Variational Autoencoder (VAE) using PyTorch to generate synthetic signatures. The model encodes real signatures into a latent space, samples using the reparameterization trick, and reconstructs them via a decoder. Training optimizes reconstruction loss and KL divergence for smooth latent representations.

generative-ai synthetic-image-generation vae variational-autoencoder

Last synced: 12 Mar 2025

https://github.com/parshakova/apsn

latent-variable-models policy-gradient pytorch question-answering semi-supervised-learning vae

Last synced: 20 Apr 2026

https://github.com/pearisli/visgen

Provide easy-to-understand implementations of classic/popular generative models in computer vision

animeface computer-vision diffusion gan generative pytorch vae

Last synced: 20 Apr 2026

https://github.com/kirili4ik/deep-generative-models

Deep Generative Models that I have implemented, trained and experimented with.

gan generative-models glow pix2pix pytorch stargan vae

Last synced: 18 Oct 2025

https://github.com/epigos/learning-pytorch

Implementation of deep learning models using Pytorch

autoencoder cnn computer-vision deep-learning gan generative-adversarial-network lstm mlp pytorch transfer-learning vae variational-autoencoder

Last synced: 19 May 2026

https://github.com/jinia2801/mrd-detection-flow

Unsupervised MRD detection in flow cytometry data using Variational AutoEncoder (VAE) and Gaussian Mixture Model (GMM).

cancer-detection gmm mrd pytorch sklearn vae

Last synced: 22 Apr 2026

https://github.com/yus314/vae-toolkit

Stable Diffusion VAE toolkit image processing and model loading utilities

python stable-diffusion tool vae

Last synced: 16 May 2026

https://github.com/yuanx749/vae-mixin-pytorch

Variational autoencoders as mixins.

project pytorch vae

Last synced: 15 May 2026

https://github.com/dhruvsrikanth/model-pipelines

Model Pipelines for GNNs, VAEs, Neural Style Transfer, and other kinds of models!

deep-learning graph-neural-networks machine-learning neural-network neural-networks python skip-connections style-transfer tensorflow transfer-learning vae variational-autoencoder

Last synced: 13 Apr 2026

https://github.com/mmcenta/discrete-embeddings

Diverse VAE experiments and implementations in TensorFlow.

vae vq-vae

Last synced: 13 Sep 2025

https://github.com/ku-gen-ai-2567/vae-demo

generative-ai tensorflow vae

Last synced: 06 May 2026

https://github.com/adrianyuu/qualification-deep-learning

A qualification project for teaching as an assistant at SLC in the COMP6826001 Deep Learning course.

dcnn ssl vae

Last synced: 02 Apr 2025

https://github.com/prasunroy/mcma

:fire: Exploring Mutual Cross-Modal Attention for Context-Aware Human Affordance Generation (official code).

affordance-generation cross-attention human-pose vae

Last synced: 09 Sep 2025

https://github.com/lmizner/ece239_signalsandsystems

Course work from UCLA's ECE239 - Special Topics in Signals and Systems

conditional-ddpm deep-q-network denoising-diffusion-probabilistic-models dqn gans generative-adversarial-network generative-ai minigpt vae variational-autoencoder

Last synced: 02 Apr 2025

https://github.com/louis-alexandre-laguet/variational_auto_encoder

This repository presents Autoencoders (AE) and Variational Autoencoders (VAE) on the Fashion MNIST and CelebA datasets. It delves into concepts of image compression, reconstruction, and the generation of new images via probabilistic models.

ai autoencoder celeba deep-learning fashion-mnist generative-models image-reconstruction vae

Last synced: 02 Aug 2025

https://github.com/ardeleanrichard/zero-inflated-time-series-generation

Zero Inflated Time Series (also known as sparse or intermittent) Generation with Neural Networks

gan generative-adversarial-network neural-networks time-series time-series-generation vae variational-autoencoder zero-inflated-data zero-inflated-generation zero-inflated-time-series zits-gan zits-vae

Last synced: 07 Apr 2026