H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Blockchain dark forest selfguard handbook. Master these, master the security of your cryptocurrency.

一个简单漂亮的SSM(Spring+SpringMVC+Mybatis)博客系统

MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW

AutoJs6-based ant forest energy auto-collect script (基于 AutoJs6 的蚂蚁森林能量自动收取脚本)

Install Forest Admin in minutes.

A high-level and lightweight declarative HTTP client framework for Java. it makes sending HTTP requests in Java easier.

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

基于AutoJS的蚂蚁森林收能量脚本

A Python library for quantum programming using Quil.

A Fast Key-Value Storage Engine Based on Hierarchical B+-Tree Trie

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

Random Forest - a curated list of resources regarding random forest

👾 notes and resources on blockchain's maximal extractable value (MEV): on the hope of non-predatory free markets in the metaweb

Generalized Random Forests

Flight code for MIT CSAIL Robot Locomotion Group flying-through-forests project

An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)

forest(森林)——一款现代化的知识社区后台项目，使用 SpringBoot + Shiro + MyBatis + JWT + Redis 实现

Universal model exchange and serialization format for decision tree forests

A Fast Implementation of Random Forests

Ensembles of decision trees in go/golang.

Python Package for Airborne RGB machine learning

ThunderGBM: Fast GBDTs and Random Forests on GPUs

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.

🌲 Rust Filecoin Node Implementation

A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.

Code to compute permutation and drop-column importances in Python scikit-learn models

A multi-syntax functional programming language that compiles to WebAssembly.

文本分类资源汇总，包括深度学习文本分类模型，如SpanBERT、ALBERT、RoBerta、Xlnet、MT-DNN、BERT、TextGCN、MGAN、TextCapsule、SGNN、SGM、LEAM、ULMFiT、DGCNN、ELMo、RAM、DeepMoji、IAN、DPCNN、TopicRNN、LSTMN 、Multi-Task、HAN、CharCNN、Tree-LSTM、DAN、TextRCNN、Paragraph-Vec、TextCNN、DCNN、RNTN、MV-RNN、RAE等，浅层学习模型，如LightGBM 、SVM、XGboost、Random Forest、C4.5、CART、KNN、NB、HMM等。介绍文本分类数据集，如MR、SST、MPQA、IMDB、Yelp、20NG、AG、R8、DBpedia、Ohsumed、SQuAD、SNLI、MNLI、MSRP、MRDA、RCV1、AAPD，评价指标，如accuracy、Precision、Recall、F1、EM、MRR、HL、Micro-F1、Macro-F1、P@K，和技术挑战，包括多标签文本分类。

Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)