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a-multi-dimensional-multi-grained-residual-forest

a machine learning method improved by deep forest

araf

augdf

code for the article 'Improve Deep Forest with Learnable Layerwise Augmentation Policy Schedules' submitted to ICASSP 2024

chatgpt-next-web

One-Click to deploy well-designed ChatGPT web UI on Vercel. 一键拥有你自己的 ChatGPT 网页服务。

condf

cost_sensitive_deep_forest

Cost-sensitive deep forest for price prediction

cric

Find the meaningful main and interaction effects by random intersection

cs-book

计算机类常用电子书整理，并且附带下载链接，包括Java，Python，Linux，Go，C，C++，数据结构与算法，人工智能，计算机基础，面试，设计模式，数据库，前端等书籍

datascience

deep-forest

An implementation of Deep Forest 2021.2.1.

deep-iforest

implementation of deep isolation forest for anomaly detection

dte

dts-shop

聚惠星商城 DTS-SHOP，基于 微信小程序 + springboot + vue 技术构建 ，支持单店铺，多店铺入驻的商城平台。项目包含 微信小程序，管理后台。基于java后台语言，已功能闭环，且达到商用标准的一套项目体系。

encoder-forest

eForest: Reversible mapping between high-dimensional data and path rule identifiers using trees embedding

ensemble_of_oblique_decision_trees

fpenn

Implementation of FPENN - Forest path encoding for neural networks

gcforest

Python implementation of deep forest method : gcForest

gcforest-master-feature

Add feature score for gcForest(only use xboost and rf)

graph-based-deepforest

Graph based gcForest for master thesis,ongoing project

igtd

Image Generator for Tabular Data (IGTD): Converting Tabular Data to Images for Deep Learning Using Convolutional Neural Networks

irf

iterative random forest

jlu_featureselection

A Feature Selection Homework for JLU AI Classes.

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

multichannel-gcforest

在pylablanche实现的基础上加上多通道

oric

pdf

编程电子书下载，电子书下载，包括C，C#，Docker，Elasticsearch，Git，Hadoop，HeadFirst，Java，Javascript，jvm，Kafka，Linux，Maven，MongoDB，MyBatis，MySQL，Netty，Nginx，Python，RabbitMQ，Redis，Scala，Solr，Spark，Spring，SpringBoot，SpringCloud，TCPIP，Tomcat，Zookeeper，人工智能，大数据类，并发编程，数据库类，数据挖掘，新面试题，架构设计，算法系列，计算机类，设计模式，软件测试，重构优化，等更多分类

sh_pytorch

Source code for paper "Spectral Hashing" on NIPS-2009

skoltech-ml-2020-autoencoder-by-forest

Comparison of the performance of the autoencoder (AE) forest algorithm with MLP & CNN AEs.

skope-rules

machine learning with logical rules in Python

software-defect-prediction-model-based-on-improved-deep-forest-and-autoencoder-by-forest

Built a Software Defect Prediction Model using an improved Deep Forest algorithm and Autoencoder by Forest. The original input features are transformed by data augmentation method to enhance the ability of feature extraction, and the autoencoder by forest performs data dimensionality reduction on the features