gk0701

awesome-imbalanced-learning

😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库

imbalanced-ensemble

🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库

ADASYN

Adaptive Synthetic Sampling Approach for Imbalanced Learning

DeepTables

DeepTables: Deep-learning Toolkit for Tabular data

pytorch_tabular

A standard framework for modelling Deep Learning Models for tabular data

Kaggle-MoA-2nd-Place-Solution

Soft-Decision-Tree

PyTorch Implementation of "Distilling a Neural Network Into a Soft Decision Tree." Nicholas Frosst, Geoffrey Hinton., 2017.

Born-Again-Tree-Ensembles

A reimplementation of Vidal et al.'s Born-Again Tree Ensembles paper (https://arxiv.org/pdf/2003.11132.pdf)

tiny-ba-trees

A simplistic, unoptimized Python implementation of Born-Again Tree Ensembles for learning purposes

DeepCTR-Torch

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

FiBiNet

recommendation_model

练习下用pytorch来复现下经典的推荐系统模型, 如MF, FM, DeepConn, MMOE, PLE, DeepFM, NFM, DCN, AFM, AutoInt, ONN, FiBiNET, DCN-v2, AFN, DCAP等

CTR_Algorithm

一些经典的CTR算法的复现; LR, FM, FFM, AFM, DeepFM, xDeepFM, PNN, DCN, DCNv2, DIFM, AutoInt, FiBiNet,AFN,ONN,DIN, DIEN ... （pytorch, tf2.0）

DeepSMOTE

pytorch unofficial implementation of "DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data"

DeepSMOTE

Pytorch implementation of "DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data".

node_classifier

Pytorch Lightning and Optuna code for training Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data

node

Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data

soft-decision-tree

pytorch implementation of "Distilling a Neural Network Into a Soft Decision Tree"

DNDT

Deep Neural Decision Trees

SELOR

AutoInt

Implementation of AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks

tabnet

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

DeepTabular

neural-backed-decision-trees

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

rrl

The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning Interpretable Rules for Scalable Data Representation and Classification"

chefboost

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical features support for Python

awesome-gradient-boosting-papers

A curated list of gradient boosting research papers with implementations.

awesome-decision-tree-papers

A collection of research papers on decision, classification and regression trees with implementations.

Dive-into-DL-PyTorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

coding-interview-university

A complete computer science study plan to become a software engineer.