gk0701

gk0701's Stars

• jwasham/coding-interview-university

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

  305k8.8k46876.6k

• ShusenTang/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。

  Language:Jupyter Notebook18.2k3871495.4k

• shenweichen/DeepCTR-Torch

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

  Language:Python3k46135702

• dreamquark-ai/tabnet

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

  Language:Python2.6k38311484

• benedekrozemberczki/awesome-decision-tree-papers

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

  Language:Python2.4k1310334

• ZhiningLiu1998/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

  1.4k446224

• manujosephv/pytorch_tabular

  A standard framework for modelling Deep Learning Models for tabular data

  Language:Python1.3k21150135

• benedekrozemberczki/awesome-gradient-boosting-papers

  A curated list of gradient boosting research papers with implementations.

  Language:Python997493155

• DataCanvasIO/DeepTables

  DeepTables: Deep-learning Toolkit for Tabular data

  Language:Python6632558118

• alvinwan/neural-backed-decision-trees

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

  Language:Python6051826130

• huangjunheng/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

  Language:Python53147117

• Qwicen/node

  Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data

  Language:Jupyter Notebook47315362

• serengil/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

  Language:Python4531850101

• ZhiningLiu1998/imbalanced-ensemble

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

  Language:Python32482651

• kimhc6028/soft-decision-tree

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

  Language:Python283101759

• Prayforhanluo/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）

  Language:Jupyter Notebook2344747

• shichence/AutoInt

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

  Language:Python1996648

• baosenguo/Kaggle-MoA-2nd-Place-Solution

  Language:Jupyter Notebook1672034

• wOOL/DNDT

  Deep Neural Decision Trees

  Language:Jupyter Notebook1567255

• stavskal/ADASYN

  Adaptive Synthetic Sampling Approach for Imbalanced Learning

  Language:Python1277127

• dd1github/DeepSMOTE

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

  Language:Python10331030

• 12wang3/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"

  Language:Python9641525

• xuyxu/Soft-Decision-Tree

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

  Language:Python9541019

• archon159/SELOR

  Language:Python40246

• CVxTz/DeepTabular

  Language:Python373111

• recommendation-algorithm/FiBiNet

  Language:Python32105

• pedrosbmartins/tiny-ba-trees

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

  Language:Python5100

• PL97/DeepSMOTE

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

  Language:Python5110

• 96imranahmed/Born-Again-Tree-Ensembles

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

  Language:Python3201

• modulai/node_classifier

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

  Language:Python2300