927 Repositories
Python attention-alignment-visualization Libraries
UNAVOIDS: Unsupervised and Nonparametric Approach for Visualizing Outliers and Invariant Detection Scoring
UNAVOIDS: Unsupervised and Nonparametric Approach for Visualizing Outliers and Invariant Detection Scoring Code Summary aggregate.py: this script aggr
Codebase for "ProtoAttend: Attention-Based Prototypical Learning."
Codebase for "ProtoAttend: Attention-Based Prototypical Learning." Authors: Sercan O. Arik and Tomas Pfister Paper: Sercan O. Arik and Tomas Pfister,
Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
HiddenLayer A lightweight library for neural network graphs and training metrics for PyTorch, Tensorflow, and Keras. HiddenLayer is simple, easy to ex
Source code and notebooks to reproduce experiments and benchmarks on Bias Faces in the Wild (BFW).
Face Recognition: Too Bias, or Not Too Bias? Robinson, Joseph P., Gennady Livitz, Yann Henon, Can Qin, Yun Fu, and Samson Timoner. "Face recognition:
Lingtrain Alignment Studio is an ML based app for texts alignment on different languages.
Lingtrain Alignment Studio Intro Lingtrain Alignment Studio is the ML based app for accurate texts alignment on different languages. Extracts parallel
A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
faceswap-GAN Adding Adversarial loss and perceptual loss (VGGface) to deepfakes'(reddit user) auto-encoder architecture. Updates Date Update 2018-08-2
nlp-tutorial is a tutorial for who is studying NLP(Natural Language Processing) using Pytorch
nlp-tutorial is a tutorial for who is studying NLP(Natural Language Processing) using Pytorch. Most of the models in NLP were implemented with less than 100 lines of code.(except comments or blank lines)
Biterm Topic Model (BTM): modeling topics in short texts
Biterm Topic Model Bitermplus implements Biterm topic model for short texts introduced by Xiaohui Yan, Jiafeng Guo, Yanyan Lan, and Xueqi Cheng. Actua
PyExplainer: A Local Rule-Based Model-Agnostic Technique (Explainable AI)
PyExplainer PyExplainer is a local rule-based model-agnostic technique for generating explanations (i.e., why a commit is predicted as defective) of J
An interactive dashboard for visualisation, integration and classification of data using Active Learning.
AstronomicAL An interactive dashboard for visualisation, integration and classification of data using Active Learning. AstronomicAL is a human-in-the-
Neurons Dataset API - The official dataloader and visualization tools for Neurons Datasets.
Neurons Dataset API - The official dataloader and visualization tools for Neurons Datasets. Introduction We propose our dataloader API for loading and
PyTorch implementation of Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network
hierarchical-multi-label-text-classification-pytorch Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach This
Cryptocurrency Centralized Exchange Visualization
This is a simple one that uses Grafina to visualize cryptocurrency from the Bitkub exchange. This service will make a request to the Bitkub API from your wallet and save the response to Postgresql. Grafina will retrieve data from Postgresql and display the graph.
Visualization of numerical optimization algorithms
Visualization of numerical optimization algorithms
You Only Sample (Almost) Once: Linear Cost Self-Attention Via Bernoulli Sampling
You Only Sample (Almost) Once: Linear Cost Self-Attention Via Bernoulli Sampling Transformer-based models are widely used in natural language processi
RAANet: Range-Aware Attention Network for LiDAR-based 3D Object Detection with Auxiliary Density Level Estimation
RAANet: Range-Aware Attention Network for LiDAR-based 3D Object Detection with Auxiliary Density Level Estimation Anonymous submission Abstract 3D obj
The implementation of DeBERTa
DeBERTa: Decoding-enhanced BERT with Disentangled Attention This repository is the official implementation of DeBERTa: Decoding-enhanced BERT with Dis
Self-attentive task GAN for space domain awareness data augmentation.
SATGAN TODO: update the article URL once published. Article about this implemention The self-attentive task generative adversarial network (SATGAN) le
A multi-platform GUI for bit-based analysis, processing, and visualization
A multi-platform GUI for bit-based analysis, processing, and visualization
Render tokei's output to interactive sunburst chart.
Render tokei's output to interactive sunburst chart.
A PyTorch implementation of "CoAtNet: Marrying Convolution and Attention for All Data Sizes".
CoAtNet Overview This is a PyTorch implementation of CoAtNet specified in "CoAtNet: Marrying Convolution and Attention for All Data Sizes", arXiv 2021
Sky attention heatmap of submissions to astrometry.net
astroheat Installation Requires Python 3.6+, Tested with Python 3.9.5 Install library dependencies pip install -r requirements.txt The program require
Pebble is a stat's visualization tool, this will provide a skeleton to develop a monitoring tool.
Pebble is a stat's visualization tool, this will provide a skeleton to develop a monitoring tool.
Local Multi-Head Channel Self-Attention for FER2013
LHC-Net Local Multi-Head Channel Self-Attention This repository is intended to provide a quick implementation of the LHC-Net and to replicate the resu
Summary of related papers on visual attention
This repo is built for paper: Attention Mechanisms in Computer Vision: A Survey paper Vision-Attention-Papers Channel attention Spatial attention Temp
Official code for: A Probabilistic Hard Attention Model For Sequentially Observed Scenes
"A Probabilistic Hard Attention Model For Sequentially Observed Scenes" Authors: Samrudhdhi Rangrej, James Clark Accepted to: BMVC'21 A recurrent atte
Portfolio analytics for quants, written in Python
QuantStats: Portfolio analytics for quants QuantStats Python library that performs portfolio profiling, allowing quants and portfolio managers to unde
Python package to visualize and cluster partial dependence.
partial_dependence A python library for plotting partial dependence patterns of machine learning classifiers. The technique is a black box approach to
moDel Agnostic Language for Exploration and eXplanation
moDel Agnostic Language for Exploration and eXplanation Overview Unverified black box model is the path to the failure. Opaqueness leads to distrust.
Implementation of Uniformer, a simple attention and 3d convolutional net that achieved SOTA in a number of video classification tasks
Uniformer - Pytorch Implementation of Uniformer, a simple attention and 3d convolutional net that achieved SOTA in a number of video classification ta
Scientific Visualization: Python + Matplotlib
An open access book on scientific visualization using python and matplotlib
Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"
Medical Image Segmentation with Guided Attention This repository contains the code of our paper: "'Multi-scale self-guided attention for medical image
PSANet: Point-wise Spatial Attention Network for Scene Parsing, ECCV2018.
PSANet: Point-wise Spatial Attention Network for Scene Parsing (in construction) by Hengshuang Zhao*, Yi Zhang*, Shu Liu, Jianping Shi, Chen Change Lo
CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).
CCNet: Criss-Cross Attention for Semantic Segmentation Paper Links: Our most recent TPAMI version with improvements and extensions (Earlier ICCV versi
Dual Attention Network for Scene Segmentation (CVPR2019)
Dual Attention Network for Scene Segmentation(CVPR2019) Jun Fu, Jing Liu, Haijie Tian, Yong Li, Yongjun Bao, Zhiwei Fang,and Hanqing Lu Introduction W
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
Attention Gated Networks (Image Classification & Segmentation) Pytorch implementation of attention gates used in U-Net and VGG-16 models. The framewor
Segmentation-Aware Convolutional Networks Using Local Attention Masks
Segmentation-Aware Convolutional Networks Using Local Attention Masks [Project Page] [Paper] Segmentation-aware convolution filters are invariant to b
Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.
pytorch Implementation of U-Net, R2U-Net, Attention U-Net, Attention R2U-Net U-Net: Convolutional Networks for Biomedical Image Segmentation https://a
Models Supported: AlbUNet [18, 34, 50, 101, 152] (1D and 2D versions for Single and Multiclass Segmentation, Feature Extraction with supports for Deep Supervision and Guided Attention)
AlbUNet-1D-2D-Tensorflow-Keras This repository contains 1D and 2D Signal Segmentation Model Builder for AlbUNet and several of its variants developed
Interactive convnet features visualization for Keras
Quiver Interactive convnet features visualization for Keras The quiver workflow Video Demo Build your model in keras model = Model(...) Launch the vis
VizTracer is a low-overhead logging/debugging/profiling tool that can trace and visualize your python code execution.
VizTracer is a low-overhead logging/debugging/profiling tool that can trace and visualize your python code execution.
A paper using optimal transport to solve the graph matching problem.
GOAT A paper using optimal transport to solve the graph matching problem. https://arxiv.org/abs/2111.05366 Repo structure .github: Files specifying ho
Code for the paper "Attention Approximates Sparse Distributed Memory"
Attention Approximates Sparse Distributed Memory - Codebase This is all of the code used to run analyses in the paper "Attention Approximates Sparse D
Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning using 🤗 transformers
hierarchical-transformer-1d Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning using 🤗 transformers In Progress!! 2021.
This repo. is an implementation of ACFFNet, which is accepted for in Image and Vision Computing.
Attention-Guided-Contextual-Feature-Fusion-Network-for-Salient-Object-Detection This repo. is an implementation of ACFFNet, which is accepted for in I
Pytools is an open source library containing general machine learning and visualisation utilities for reuse
pytools is an open source library containing general machine learning and visualisation utilities for reuse, including: Basic tools for API developmen
Image Segmentation using U-Net, U-Net with skip connections and M-Net architectures
Brain-Image-Segmentation Segmentation of brain tissues in MRI image has a number of applications in diagnosis, surgical planning, and treatment of bra
Contextual Attention Localization for Offline Handwritten Text Recognition
CALText This repository contains the source code for CALText model introduced in "CALText: Contextual Attention Localization for Offline Handwritten T
Global-Local Attention for Emotion Recognition
Global-Local Attention for Emotion Recognition Requirements Python 3 Install tensorflow (or tensorflow-gpu) = 2.0.0 Install some other packages pip i
An implementation of Equivariant e2 convolutional kernals into a convolutional self attention network, applied to radio astronomy data.
EquivariantSelfAttention An implementation of Equivariant e2 convolutional kernals into a convolutional self attention network, applied to radio astro
Daily social mapping project in November 2021. Maps made using PyGMT whenever possible.
Daily social mapping project in November 2021. Maps made using PyGMT whenever possible.
Python Package for CanvasXpress JS Visualization Tools
CanvasXpress Python Library About CanvasXpress for Python CanvasXpress was developed as the core visualization component for bioinformatics and system
This repo holds codes of the ICCV21 paper: Visual Alignment Constraint for Continuous Sign Language Recognition.
VAC_CSLR This repo holds codes of the paper: Visual Alignment Constraint for Continuous Sign Language Recognition.(ICCV 2021) [paper] Prerequisites Th
[ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image Prediction
FaPN: Feature-aligned Pyramid Network for Dense Image Prediction [arXiv] [Project Page] @inproceedings{ huang2021fapn, title={{FaPN}: Feature-alig
CNN+Attention+Seq2Seq
Attention_OCR CNN+Attention+Seq2Seq The model and its tensor transformation are shown in the figure below It is necessary ch_ train and ch_ test the p
A simple project on Data Visualization for CSCI-40 course.
Simple-Data-Visualization A simple project on Data Visualization for CSCI-40 course - the instructions can be found here SAT results in New York in 20
Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis
Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis, including human motion imitation, appearance transfer, and novel view synthesis. Currently the paper is under review of IEEE TPAMI. It is an extension of our previous ICCV project impersonator, and it has a more powerful ability in generalization and produces higher-resolution results (512 x 512, 1024 x 1024) than the previous ICCV version.
ecoglib: visualization and statistics for high density microecog signals
ecoglib: visualization and statistics for high density microecog signals This library contains high-level analysis tools for "topos" and "chronos" asp
It's a implement of this paper:Relation extraction via Multi-Level attention CNNs
Relation Classification via Multi-Level Attention CNNs It's a implement of this paper:Relation Classification via Multi-Level Attention CNNs. Training
Exploratory analysis and data visualization of aircraft accidents and incidents in Brazil.
Exploring aircraft accidents in Brazil Occurrencies with aircraft in Brazil are investigated by the Center for Investigation and Prevention of Aircraf
A Python package to facilitate research on building and evaluating automated scoring models.
Rater Scoring Modeling Tool Introduction Automated scoring of written and spoken test responses is a growing field in educational natural language pro
cLoops2: full stack analysis tool for chromatin interactions
cLoops2: full stack analysis tool for chromatin interactions Introduction cLoops2 is an extension of our previous work, cLoops. From loop-calling base
edaSQL is a library to link SQL to Exploratory Data Analysis and further more in the Data Engineering.
edaSQL is a python library to bridge the SQL with Exploratory Data Analysis where you can connect to the Database and insert the queries. The query results can be passed to the EDA tool which can give greater insights to the user.
Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method (NeurIPS 2021)
Skyformer This repository is the official implementation of Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr"om Method (NeurIPS 2021).
Convolutional neural network visualization techniques implemented in PyTorch.
This repository contains a number of convolutional neural network visualization techniques implemented in PyTorch.
Measuring if attention is explanation with ROAR
NLP ROAR Interpretability Official code for: Evaluating the Faithfulness of Importance Measures in NLP by Recursively Masking Allegedly Important Toke
Manifold Alignment for Semantically Aligned Style Transfer
Manifold Alignment for Semantically Aligned Style Transfer [Paper] Getting Started MAST has been tested on CentOS 7.6 with python = 3.6. It supports
A diff tool for language models
LMdiff Qualitative comparison of large language models. Demo & Paper: http://lmdiff.net LMdiff is a MIT-IBM Watson AI Lab collaboration between: Hendr
A CROSS-MODAL FUSION NETWORK BASED ON SELF-ATTENTION AND RESIDUAL STRUCTURE FOR MULTIMODAL EMOTION RECOGNITION
CFN-SR A CROSS-MODAL FUSION NETWORK BASED ON SELF-ATTENTION AND RESIDUAL STRUCTURE FOR MULTIMODAL EMOTION RECOGNITION The audio-video based multimodal
Official implementation of "Multi-Glimpse Network: A Robust and Efficient Classification Architecture based on Recurrent Downsampled Attention" (BMVC 2021).
Multi-Glimpse Network Multi-Glimpse Network: A Robust and Efficient Classification Architecture based on Recurrent Downsampled Attention arXiv Require
Unofficial pytorch implementation of the paper "Dynamic High-Pass Filtering and Multi-Spectral Attention for Image Super-Resolution"
DFSA Unofficial pytorch implementation of the ICCV 2021 paper "Dynamic High-Pass Filtering and Multi-Spectral Attention for Image Super-Resolution" (p
MPL Plotter is a Matplotlib based Python plotting library built with the goal of delivering publication-quality plots concisely.
MPL Plotter is a Matplotlib based Python plotting library built with the goal of delivering publication-quality plots concisely.
A python module for scientific analysis of 3D objects based on VTK and Numpy
A lightweight and powerful python module for scientific analysis and visualization of 3d objects.
Visualization Data Drug in thailand during 2014 to 2020
Visualization Data Drug in thailand during 2014 to 2020 Data sorce from ข้อมูลเปิดภาครัฐ สำนักงาน ป.ป.ส Inttroducing program Using tkinter module for
The Metabolomics Integrator (MINT) is a post-processing tool for liquid chromatography-mass spectrometry (LCMS) based metabolomics.
MINT (Metabolomics Integrator) The Metabolomics Integrator (MINT) is a post-processing tool for liquid chromatography-mass spectrometry (LCMS) based m
Data science, Data manipulation and Machine learning package.
duality Data science, Data manipulation and Machine learning package. Use permitted according to the terms of use and conditions set by the attached l
Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method (NeurIPS 2021)
Skyformer This repository is the official implementation of Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr"om Method (NeurIPS 2021).
The source code for CATSETMAT: Cross Attention for Set Matching in Bipartite Hypergraphs
catsetmat The source code for CATSETMAT: Cross Attention for Set Matching in Bipartite Hypergraphs To be able to run it, add catsetmat to PYTHONPATH H
Structure Information is the Key: Self-Attention RoI Feature Extractor in 3D Object Detection
Structure Information is the Key: Self-Attention RoI Feature Extractor in 3D Object Detection abstract:Unlike 2D object detection where all RoI featur
Code for a seq2seq architecture with Bahdanau attention designed to map stereotactic EEG data from human brains to spectrograms, using the PyTorch Lightning.
stereoEEG2speech We provide code for a seq2seq architecture with Bahdanau attention designed to map stereotactic EEG data from human brains to spectro
This repo includes the CUB-GHA (Gaze-based Human Attention) dataset and code of the paper "Human Attention in Fine-grained Classification".
HA-in-Fine-Grained-Classification This repo includes the CUB-GHA (Gaze-based Human Attention) dataset and code of the paper "Human Attention in Fine-g
This is an auto-ML tool specialized in detecting of outliers
Auto-ML tool specialized in detecting of outliers Description This tool will allows you, with a Dash visualization, to compare 10 models of machine le
Decision Border Visualizer for Classification Algorithms
dbv Decision Border Visualizer for Classification Algorithms Project description A python package for Machine Learning Engineers who want to visualize
A command line tool for visualizing CSV/spreadsheet-like data
PerfPlotter Read data from CSV files using pandas and generate interactive plots using bokeh, which can then be embedded into HTML pages and served by
Face Detection and Alignment using Multi-task Cascaded Convolutional Networks (MTCNN)
Face-Detection-with-MTCNN Face detection is a computer vision problem that involves finding faces in photos. It is a trivial problem for humans to sol
Pytorch Implementation of "Diagonal Attention and Style-based GAN for Content-Style disentanglement in image generation and translation" (ICCV 2021)
DiagonalGAN Official Pytorch Implementation of "Diagonal Attention and Style-based GAN for Content-Style Disentanglement in Image Generation and Trans
Open source single image super-resolution toolbox containing various functionality for training a diverse number of state-of-the-art super-resolution models. Also acts as the companion code for the IEEE signal processing letters paper titled 'Improving Super-Resolution Performance using Meta-Attention Layers’.
Deep-FIR Codebase - Super Resolution Meta Attention Networks About This repository contains the main coding framework accompanying our work on meta-at
An example of Scatterbrain implementation (combining local attention and Performer)
An example of Scatterbrain implementation (combining local attention and Performer)
Data visualization electromagnetic spectrum
Datenvisualisierung-Elektromagnetischen-Spektrum Anhand des Moduls matplotlib sollen die Daten des elektromagnetischen Spektrums dargestellt werden. D
Unofficial pytorch implementation of the paper "Context Reasoning Attention Network for Image Super-Resolution (ICCV 2021)"
CRAN Unofficial pytorch implementation of the paper "Context Reasoning Attention Network for Image Super-Resolution (ICCV 2021)" This code doesn't exa
The PyTorch based implementation of continuous integrate-and-fire (CIF) module.
CIF-PyTorch This is a PyTorch based implementation of continuous integrate-and-fire (CIF) module for end-to-end (E2E) automatic speech recognition (AS
Homework 2: Matplotlib and Data Visualization
Homework 2: Matplotlib and Data Visualization Overview These data visualizations were created for my introductory computer science course using Python
Can we visualize a large scientific data set with a surrogate model? We're building a GAN for the Earth's Mantle Convection data set to see if we can!
EarthGAN - Earth Mantle Surrogate Modeling Can a surrogate model of the Earth’s Mantle Convection data set be built such that it can be readily run in
Unified Instance and Knowledge Alignment Pretraining for Aspect-based Sentiment Analysis
Unified Instance and Knowledge Alignment Pretraining for Aspect-based Sentiment Analysis Requirements python 3.7 pytorch-gpu 1.7 numpy 1.19.4 pytorch_
Official implementation of NeurIPS 2021 paper "Contextual Similarity Aggregation with Self-attention for Visual Re-ranking"
CSA: Contextual Similarity Aggregation with Self-attention for Visual Re-ranking PyTorch training code for CSA (Contextual Similarity Aggregation). We
Data visualization using matplotlib
Data visualization using matplotlib project instructions Top 5 Most Common Coffee Origins In this visualization I used data from Ankur Chavda on Kaggl
Rick and Morty Data Visualization with python
Rick and Morty Data Visualization For this project I looked at data for the TV show Rick and Morty Number of Episodes at a Certain Location Here is th
Create a visualization for Trump's Tweeted Words Using Python
Data Trump's Tweeted Words This plot illustrates twitter word occurences. We already did the coding I needed for this plot, so I was very inspired to
China and India Population and GDP Visualization
China and India Population and GDP Visualization Historical Population Comparison between India and China This graph shows the population data of Indi