A framework for attentive explainable deep learning on tabular data

Last update: Nov 06, 2021

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Overview

🧠 kendrite

A framework for attentive explainable deep learning on tabular data

💨 Quick start

kedro run

🧱 Built upon

Technology	Description	Links
`kedro`	Python framework for creating reproducible, maintainable and modular machine learning pipelines	github docs
`tabnet`	Interpretable `pytorch` deep learning architecture for modeling tabular data	arxiv github
`mlflow`	Platform to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry	github docs
`ray[tune]`	Package for distributed hyper-parameter tuning.	github docs

Owner

Marnix Koops

GitHub Repository

Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation (CVPR 2021)

Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation Input Image Initial CAM Successive Maps with adversar

110 Dec 07, 2022

Using pytorch to implement unet network for liver image segmentation.

1 Dec 17, 2021

Sudoku solver - A sudoku solver with python

sudoku_solver A sudoku solver What is Sudoku? Sudoku (Japanese: 数独, romanized: s

0 May 22, 2022

[ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers

PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers Created by Xumin Yu*, Yongming Rao*, Ziyi Wang, Zuyan Liu, Jiwen Lu, Jie Zhou

317 Dec 26, 2022

A PyTorch implementation of SlowFast based on ICCV 2019 paper "SlowFast Networks for Video Recognition"

SlowFast A PyTorch implementation of SlowFast based on ICCV 2019 paper SlowFast Networks for Video Recognition. Requirements Anaconda PyTorch conda in

8 Dec 23, 2022

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

8.4k Jan 01, 2023

PyTorch Implementation of PortaSpeech: Portable and High-Quality Generative Text-to-Speech

PortaSpeech - PyTorch Implementation PyTorch Implementation of PortaSpeech: Portable and High-Quality Generative Text-to-Speech. Model Size Module Nor

279 Jan 04, 2023

Implementation of Gans

GAN Generative Adverserial Networks are an approach to generative data modelling using Deep learning methods. I have currently implemented : DCGAN on

5 Sep 07, 2021

This repo is customed for VisDrone.

Object Detection for VisDrone(无人机航拍图像目标检测) My environment 1、Windows10 (Linux available) 2、tensorflow = 1.12.0 3、python3.6 (anaconda) 4、cv2 5、ensemble

53 Jul 17, 2022

TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation, CVPR2022

TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation Paper Links: TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentati

253 Dec 21, 2022

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

Class Activation Map methods implemented in Pytorch pip install grad-cam ⭐ Tested on many Common CNN Networks and Vision Transformers. ⭐ Includes smoo

6.6k Jan 06, 2023

Using fully convolutional networks for semantic segmentation with caffe for the cityscapes dataset

Using fully convolutional networks for semantic segmentation (Shelhamer et al.) with caffe for the cityscapes dataset How to get started Download the

27 Jun 06, 2022

State-Relabeling Adversarial Active Learning

State-Relabeling Adversarial Active Learning Code for SRAAL [2020 CVPR Oral] Requirements torch = 1.6.0 numpy = 1.19.1 tqdm = 4.31.1 AL Results The

10 Jul 14, 2022

Official PyTorch implementation of "Improving Face Recognition with Large AgeGaps by Learning to Distinguish Children" (BMVC 2021)

Inter-Prototype (BMVC 2021): Official Project Webpage This repository provides the official PyTorch implementation of the following paper: Improving F

16 Jun 30, 2022

A framework for attentive explainable deep learning on tabular data

Related tags

Overview

🧠 kendrite

💨 Quick start

🧱 Built upon

Owner

Marnix Koops

Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation (CVPR 2021)

Using pytorch to implement unet network for liver image segmentation.

Sudoku solver - A sudoku solver with python

[ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers

A PyTorch implementation of SlowFast based on ICCV 2019 paper "SlowFast Networks for Video Recognition"

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

PyTorch Implementation of PortaSpeech: Portable and High-Quality Generative Text-to-Speech

Implementation of Gans

This repo is customed for VisDrone.

TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation, CVPR2022

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

Using fully convolutional networks for semantic segmentation with caffe for the cityscapes dataset

State-Relabeling Adversarial Active Learning

Official PyTorch implementation of "Improving Face Recognition with Large AgeGaps by Learning to Distinguish Children" (BMVC 2021)

Pytorch implementation of Deep Recursive Residual Network for Super Resolution (DRRN)

Material for my PyConDE & PyData Berlin 2022 Talk "5 Steps to Speed Up Your Data-Analysis on a Single Core"

Additional code for Stable-baselines3 to load and upload models from the Hub.

An implementation of DeepMind's Relational Recurrent Neural Networks in PyTorch.

天勤量化开发包, 期货量化, 实时行情/历史数据/实盘交易

BrainGNN - A deep learning model for data-driven discovery of functional connectivity