Fast and flexible AutoML with learning guarantees.
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Updated
Nov 30, 2023 - Jupyter Notebook
Fast and flexible AutoML with learning guarantees.
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
NLP in Python with Deep Learning
We 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 ensembl…
ML-Ensemble – high performance ensemble learning
Video Face Manipulation Detection Through Ensemble of CNNs
A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
Python package for stacking (machine learning technique)
Stacked Generalization (Ensemble Learning)
An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn
[ICDE'20] ⚖️ A general, efficient ensemble framework for imbalanced classification. | 泛用,高效,鲁棒的类别不平衡学习框架
🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库
Deep Neural Network Ensembles for Time Series Classification
Deep Learning ❤️ PyTorch
numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
Snapshot Ensembles in Torch (Snapshot Ensembles: Train 1, Get M for Free)
Merlin Systems provides tools for combining recommendation models with other elements of production recommender systems (like feature stores, nearest neighbor search, and exploration strategies) into end-to-end recommendation pipelines that can be served with Triton Inference Server.
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