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

Unofficial implementation of Perceiver IO: A General Architecture for Structured Inputs & Outputs

Perceiver IO Unofficial implementation of Perceiver IO: A General Architecture for Structured Inputs & Outputs Usage import torch from src.perceiver.

111 Nov 15, 2022

Music Source Separation; Train & Eval & Inference piplines and pretrained models we used for 2021 ISMIR MDX Challenge.

Music Source Separation with Channel-wise Subband Phase Aware ResUnet (CWS-PResUNet) Introduction This repo contains the pretrained Music Source Separ

100 Dec 25, 2022

Answer a series of contextually-dependent questions like they may occur in natural human-to-human conversations.

SCAI-QReCC-21 [leaderboards] [registration] [forum] [contact] [SCAI] Answer a series of contextually-dependent questions like they may occur in natura

19 Sep 28, 2022

Learning to Initialize Neural Networks for Stable and Efficient Training

GradInit This repository hosts the code for experiments in the paper, GradInit: Learning to Initialize Neural Networks for Stable and Efficient Traini

124 Dec 30, 2022

Code for the paper "Functional Regularization for Reinforcement Learning via Learned Fourier Features"

Reinforcement Learning with Learned Fourier Features State-space Soft Actor-Critic Experiments Move to the state-SAC-LFF repository. cd state-SAC-LFF

10 Nov 11, 2022

Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.

Monk - A computer vision toolkit for everyone Why use Monk Issue: Want to begin learning computer vision Solution: Start with Monk's hands-on study ro

507 Dec 04, 2022

Scalable Graph Neural Networks for Heterogeneous Graphs

Neighbor Averaging over Relation Subgraphs (NARS) NARS is an algorithm for node classification on heterogeneous graphs, based on scalable neighbor ave

67 Dec 03, 2022

ShuttleNet: Position-aware Fusion of Rally Progress and Player Styles for Stroke Forecasting in Badminton (AAAI 2022)

ShuttleNet: Position-aware Rally Progress and Player Styles Fusion for Stroke Forecasting in Badminton (AAAI 2022) Official code of the paper ShuttleN

11 Nov 30, 2022

The AugNet Python module contains functions for the fast computation of image similarity.

AugNet AugNet: End-to-End Unsupervised Visual Representation Learning with Image Augmentation arxiv link In our work, we propose AugNet, a new deep le

74 Dec 28, 2022

Selective Wavelet Attention Learning for Single Image Deraining

SWAL Code for Paper "Selective Wavelet Attention Learning for Single Image Deraining" Prerequisites Python 3 PyTorch Models We provide the models trai

9 Jun 17, 2022

This is a classifier which basically predicts whether there is a gun law in a state or not, depending on various things like murder rates etc.

Gun-Laws-Classifier This is a classifier which basically predicts whether there is a gun law in a state or not, depending on various things like murde

1 Jan 20, 2022

A framework for attentive explainable deep learning on tabular data

Related tags

Overview

🧠 kendrite

💨 Quick start

🧱 Built upon

Owner

Marnix Koops

Unofficial implementation of Perceiver IO: A General Architecture for Structured Inputs & Outputs

Music Source Separation; Train & Eval & Inference piplines and pretrained models we used for 2021 ISMIR MDX Challenge.

Answer a series of contextually-dependent questions like they may occur in natural human-to-human conversations.

Learning to Initialize Neural Networks for Stable and Efficient Training

Code for the paper "Functional Regularization for Reinforcement Learning via Learned Fourier Features"

Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.

Scalable Graph Neural Networks for Heterogeneous Graphs

ShuttleNet: Position-aware Fusion of Rally Progress and Player Styles for Stroke Forecasting in Badminton (AAAI 2022)

The AugNet Python module contains functions for the fast computation of image similarity.

Selective Wavelet Attention Learning for Single Image Deraining

This is a classifier which basically predicts whether there is a gun law in a state or not, depending on various things like murder rates etc.

Pytorch implementation for "Implicit Semantic Response Alignment for Partial Domain Adaptation"

Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs

GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition

A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env

BC3407-Group-5-Project - BC3407 Group Project With Python

SporeAgent: Reinforced Scene-level Plausibility for Object Pose Refinement

It is the assignment for COMP 576 in Rice University

TDN: Temporal Difference Networks for Efficient Action Recognition

Code for the paper: Adversarial Training Against Location-Optimized Adversarial Patches. ECCV-W 2020.