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

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A framework for attentive explainable deep learning on tabular data

Related tags

Overview

🧠 kendrite

💨 Quick start

🧱 Built upon

Owner

Marnix Koops

Adapter-BERT: Parameter-Efficient Transfer Learning for NLP.

Learning to Stylize Novel Views

Combining Diverse Feature Priors

Probabilistic Tensor Decomposition of Neural Population Spiking Activity

Hand-distance-measurement-game - Hand Distance Measurement Game

WRENCH: Weak supeRvision bENCHmark

Official repository of IMPROVING DEEP IMAGE MATTING VIA LOCAL SMOOTHNESS ASSUMPTION.

PyTorch reimplementation of the paper Involution: Inverting the Inherence of Convolution for Visual Recognition [CVPR 2021].

这是一个yolo3-tf2的源码，可以用于训练自己的模型。

Nicely is a real-time Feedback and Intervention Program Depression is a prevalent issue across all age groups, socioeconomic classes, and cultural identities.

Official implementation of "GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators" (NeurIPS 2020)

General-purpose program synthesiser

[ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang

A simple consistency training framework for semi-supervised image semantic segmentation

Code for the paper "SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness" (NeurIPS 2021)

I created My own Virtual Artificial Intelligence named genesis, He can assist with my Tasks and also perform some analysis,,

PyTorch implementation for Convolutional Networks with Adaptive Inference Graphs

This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".

Experiments and examples converting Transformers to ONNX

Hierarchical Memory Matching Network for Video Object Segmentation (ICCV 2021)