2,903 skills found · Page 1 of 97
h2oai / H2o 3H2O 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.
slowmist / Blockchain Dark Forest Selfguard HandbookBlockchain dark forest selfguard handbook. Master these, master the security of your cryptocurrency.
ekzhu / DatasketchMinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW
SuperMonster003 / Ant ForestAutoJs6-based ant forest energy auto-collect script (基于 AutoJs6 的蚂蚁森林能量自动收取脚本)
ForestAdmin / LumberInstall Forest Admin in minutes.
szilard / Benchm MlA 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.).
kingfengji / GcForestThis is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
kjw0612 / Awesome Random ForestRandom Forest - a curated list of resources regarding random forest
grf-labs / GrfGeneralized Random Forests
andybarry / FlightFlight code for MIT CSAIL Robot Locomotion Group flying-through-forests project
LAMDA-NJU / Deep ForestAn Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)
dmlc / TreeliteUniversal model exchange and serialization format for decision tree forests
rymcu / Forestforest(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
imbs-hl / RangerA Fast Implementation of Random Forests
Xtra-Computing / ThundergbmThunderGBM: Fast GBDTs and Random Forests on GPUs
tensorflow / Decision ForestsA collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
google / Yggdrasil Decision ForestsA library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
liqian-bio / Text Classification Surveys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。
Western-OC2-Lab / Intrusion Detection System Using Machine LearningCode for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
ptyadana / Data Science And Machine Learning Projects Dojocollections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boosting, etc
