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

harmonic-percussive-residual separation algorithm wrapped as a VST3 plugin (iPlug2)

50-days-of-Statistics-for-Data-Science - This repository consist of a 50-day program

Measuring and Improving Consistency in Pretrained Language Models

给yolov5加个gui界面，使用pyqt5，yolov5是5.0版本

Code accompanying the paper "How Tight Can PAC-Bayes be in the Small Data Regime?"

🔥 Cannlytics-powered artificial intelligence 🤖

Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one written in C++, along with various language-specific wrappers.

RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection

GrabGpu_py: a scripts for grab gpu when gpu is free

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Official codebase used to develop Vision Transformer, MLP-Mixer, LiT and more.

Language Used: Python . Made in Jupyter(Anaconda) notebook.

In this work, we will implement some basic but important algorithm of machine learning step by step.

A Broader Picture of Random-walk Based Graph Embedding

Tensorflow implementation for Self-supervised Graph Learning for Recommendation

NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference in production.

RoboDesk A Multi-Task Reinforcement Learning Benchmark

Leibniz is a python package which provide facilities to express learnable partial differential equations with PyTorch

An implementation of Geoffrey Hinton's paper "How to represent part-whole hierarchies in a neural network" in Pytorch.