1D and 2D Segmentation Models with options such as Deep Supervision, Guided Attention, BiConvLSTM, Autoencoder, etc.
-
Updated
Jun 9, 2024 - Python
1D and 2D Segmentation Models with options such as Deep Supervision, Guided Attention, BiConvLSTM, Autoencoder, etc.
A simple transformer-based autoencoder model
Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.
I produced my own photo with my autoencoder model, which I used as the training data set in the kaggle
An autoencoder model to extract features from images and obtain their compressed vector representation, inspired by the convolutional VVG16 architecture
MACE = Machine-learning Approach to Chemistry Emulation
Artificial Intelligence
[WIP] RL agent for the SuperTuxKart game.
The project aims to reduce noise from audio files using signal processing and deep learning techniques.
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
Image Debanding using Inversion by Direct Iteration
This repository offers a TensorFlow-based anomaly detection system for cell images using adversarial autoencoders, capable of identifying anomalies even in contaminated datasets. Check out our code, pretrained models, and papers for more details.
A set of Python scripts to develop and experiment with CC-based and CC-independent techniques combining PM-based feature extraction and dimensionality reduction
Exploring advanced autoencoder architectures for efficient data compression on EMNIST dataset, focusing on high-fidelity image reconstruction with minimal information loss. This project tests various encoder-decoder configurations to optimize performance metrics like MSE, SSIM, and PSNR, aiming to achieve near-lossless data compression.
Comparing latent space representations using autoencoders and vision transformers using fMRI data.
VA-AM (Various Advanced - Analogue Methods) is a Python package based on the deep learning enhancement of the classical statistical Analogue Method. It provides several tools to analyse climatological extreme events, particularly heat waves.
Contains Deep Learning Content and Algorithm. ANN_CNN_RNN(LSTM-GRU)_AUTOENCODER
LOFAR System Health Management
Short text clustering methods through differents approaches
Add a description, image, and links to the autoencoder topic page so that developers can more easily learn about it.
To associate your repository with the autoencoder topic, visit your repo's landing page and select "manage topics."