Code for reproducing results in Representation Learning in Sequence to Sequence Tasks: Multi-filter Gaussian Mixture Autoencoder.
-
Updated
Aug 17, 2021 - Python
Code for reproducing results in Representation Learning in Sequence to Sequence Tasks: Multi-filter Gaussian Mixture Autoencoder.
Topics in the Python ecosystem
Tensorflow unsupervised learning to denoise images from the mnist digits dataset
Self-Supervised Bayesian Representation Learning of Acoustic Emissions from Laser Powder Bed Fusion Process for In-situ Monitoring
DL based representation learning of MS imaging data
Repository for my MSc thesis on "Scene Representation and Pre-Tagging for Autonomous Systems"
OhmNet: Representation learning in multi-layer graphs
Source code for EvalNE, a Python library for evaluating Network Embedding methods. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711022000139
PyTorch implementation of Combined Reinforcement Learning via Abstract Representations
Recurrent Detect-Infer-Repeat official repository
A deep convolutional network made of stacked feature extractors
Single Shot Multi-Box Detect Infer & Repeat implementation in PyTorch
Experimenting with deep learning to implicitly represent images
A project to detect drowsiness in drivers representation learning, based on their behavioral features.
This is the official repo of paper: Multi-modal Protein-Drug Interaction Prediction Via Attention-based Network. Code and pretrained model weights are available here.
Learning alternative disentangled representations using weak labels
Marshall: Modality-Agnostic Representation learning by SHAred pre-training of muLtiple modaLities
Bisimulation Critic for Reinforcement Learning
Add a description, image, and links to the representation-learning topic page so that developers can more easily learn about it.
To associate your repository with the representation-learning topic, visit your repo's landing page and select "manage topics."