The first public PyTorch implementation of Attentive Recurrent Comparators

Last update: Oct 14, 2022

Overview

arc-pytorch

PyTorch implementation of Attentive Recurrent Comparators by Shyam et al.

A blog explaining Attentive Recurrent Comparators

Visualizing Attention

On Same characters

On Different Characters

How to run?

Download data

python download_data.py

A one-time 52MB download. Shouldn't take more than a few minutes.

Train

python train.py --cuda

Let it train until the accuracy rises to at least 80%. Early stopping is not implemented yet. You will have to manually kill the process.

Visualize

python viz.py --cuda --load 0.13591022789478302 --same

Run with exactly the same parameters as train.py and specify the model to load. Specify "--same" if you want to generate a sample with same characters in both images. The script dumps images to a directory in visualization. The name of directory is taken from --name parameter if specified, else name is a function of the parameters of network.

Owner

Sanyam Agarwal

Visiting Research Scholar-- Machine Learning Perception Lab at Georgia Institute of Technology

GitHub Repository

Implementation of the method described in the Speech Resynthesis from Discrete Disentangled Self-Supervised Representations.

Speech Resynthesis from Discrete Disentangled Self-Supervised Representations Implementation of the method described in the Speech Resynthesis from Di

4 Mar 11, 2022

The first public PyTorch implementation of Attentive Recurrent Comparators

Related tags

Overview

arc-pytorch

Visualizing Attention

On Same characters

On Different Characters

How to run?

Download data

Train

Visualize

Owner

Sanyam Agarwal

Implementation of the method described in the Speech Resynthesis from Discrete Disentangled Self-Supervised Representations.

Materials for my scikit-learn tutorial

The Dual Memory is build from a simple CNN for the deep memory and Linear Regression fro the fast Memory

JAX bindings to the Flatiron Institute Non-uniform Fast Fourier Transform (FINUFFT) library

Semantic similarity computation with different state-of-the-art metrics

Reproduced Code for Image Forgery Detection papers.

Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR)

Repository for "Improving evidential deep learning via multi-task learning," published in AAAI2022

CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).

A Pytorch implementation of MoveNet from Google. Include training code and pre-train model.

Implementation of "Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification"

Boundary-aware Transformers for Skin Lesion Segmentation

Multi-scale discriminator feature-wise loss function

ParaGen is a PyTorch deep learning framework for parallel sequence generation

Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.

Price-Prediction-For-a-Dream-Home - A machine learning based linear regression trained model for house price prediction.

MIMIC Code Repository: Code shared by the research community for the MIMIC-III database

OREO: Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning (NeurIPS 2021)

A lightweight tool to get an AI Infrastructure Stack up in minutes not days.

Save-restricted-v-3 - Save restricted content Bot For telegram