GitHub topics: autoencoder-model
shobrook/sequitur
Library of autoencoders for sequential data
Language: Python - Size: 1.94 MB - Last synced at: 15 days ago - Pushed at: over 1 year ago - Stars: 441 - Forks: 56

itailang/geometric_adv
Geometric Adversarial Attacks and Defenses on 3D Point Clouds (3DV 2021)
Language: Python - Size: 12 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 22 - Forks: 0

storieswithsiva/CNN-AutoEncoder-DeepLearning
βπLet's build the Simplest Possible Autoencoder . βοΈπ·We'll start Simple, with a Single fully-connected Neural Layer as Encoder and as Decoder. π¨π»βπ»πAn Autoencoder is a type of Artificial Neural Network used to Learn Efficient Data Codings in an unsupervised mannerππ
Language: Jupyter Notebook - Size: 45.5 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 1

StolikTomer/SAGA
SAGA: Spectral Adversarial Geometric Attack on 3D Meshes (ICCV 2023)
Language: Python - Size: 135 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 10 - Forks: 1

KacperWiniarski/CelebFaces
CelebFaces is my computer vision gym, where I solve different tasks, test different approaches and learn a lot.
Language: Jupyter Notebook - Size: 14.7 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Djmcflush/RaveFussion
A text to audio pipeline using Riffusion (a finetuned stablediffusion model) and using RAVE a audio to audio AutoEncoder.
Language: Python - Size: 8.98 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 3

Goodsea/Richter-s-Eye
Richter's Predictor: Modeling Earthquake Damage Challenge 0.7521 Scored Solution
Language: Jupyter Notebook - Size: 33.4 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 4

kaledhoshme123/Colorize-Images-of-city-streets
Proposing a structure for a convolutional neural network capable of coloring grayscale images. The study focused on images of streets within cities. The generative neural network was trained on as many street images as possible.
Language: Jupyter Notebook - Size: 2.87 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
