2,166 skills found · Page 1 of 73
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.
ekzhu / DatasketchMinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW
ZFTurbo / Weighted Boxes FusionSet of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.
MLWave / Kaggle Ensemble GuideCode for the Kaggle Ensembling Guide Article on MLWave
dfm / EmceeThe Python ensemble sampling toolkit for affine-invariant MCMC
reiinakano / XcessivA web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
TorchEnsemble-Community / Ensemble PytorchA unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
yandex-research / Tabm(ICLR 2025) TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling
XGenerationLab / XiYan SQLA MULTI-GENERATOR ENSEMBLE FRAMEWORK FOR NATURAL LANGUAGE TO SQL
yuchenlin / LLM Blender[ACL2023] We introduce LLM-Blender, an innovative ensembling framework to attain consistently superior performance by leveraging the diverse strengths of multiple open-source LLMs. LLM-Blender cut the weaknesses through ranking and integrate the strengths through fusing generation to enhance the capability of LLMs.
FORTH-ModelBasedTracker / MocapNETWe present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the Human 3.6 Million (H3.6M) dataset compared to the baseline method (MocapNET) while maintaining real-time performance
sberbank-ai-lab / LightAutoMLLAMA - automatic model creation framework
shubhomoydas / Ad ExamplesA collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
flennerhag / MlensML-Ensemble – high performance ensemble learning
microsoft / BioemuInference code for scalable emulation of protein equilibrium ensembles with generative deep learning
ryanbressler / CloudForestEnsembles of decision trees in go/golang.
fra31 / Auto AttackCode relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
Vegeta2020 / SE SSDSE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud, CVPR 2021.
vecxoz / VecstackPython package for stacking (machine learning technique)
pySTEPS / PystepsPython framework for short-term ensemble prediction systems.
