ensemble
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ML-Ensemble – high performance ensemble learning
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Feb 25, 2020 - Python
Python package for stacking (machine learning technique)
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Aug 19, 2020 - Python
It will be nice to have Exploratory Data Analysis (EDA) similar that is in https://mljar.com

The EDA can be saved in a separate Markdown file and have link to it from the main AutoML readme.
A minimal Automatic Machine Learning (AutoML) solution for tabular datasets based on PyTorch
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Aug 10, 2020 - Python
Snapshot Ensembles in Torch (Snapshot Ensembles: Train 1, Get M for Free)
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May 16, 2017 - Lua
Stacked Generalization (Ensemble Learning)
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Dec 21, 2017 - Python
An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn
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Jan 23, 2018 - Python
We present MocapNET, an ensemble of SNN encoders that estimates the 3D human body pose based on 2D joint estimations extracted from monocular RGB images. MocapNET provides BVH file output which can be rendered in real-time or imported without any additional processing in most popular 3D animation software. The proposed architecture achieves 3D human pose estimations at state of the art rates of 400Hz using only CPU processing.
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Aug 13, 2020 - C++
Deep Neural Network Ensembles for Time Series Classification
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Jul 10, 2019 - Python
An innovative technique that constructs an ensemble of decision trees and converts this ensemble into a single, interpretable decision tree with an enhanced predictive performance
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Nov 20, 2017 - Scilab
A collection of codes for 'how far can we go with MNIST' challenge
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May 7, 2017
Keras callback function for stochastic weight averaging
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Aug 14, 2019 - Python
Neutron: A pytorch based implementation of Transformer and its variants.
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Jun 17, 2020 - Python
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Mar 22, 2017 - Jupyter Notebook
Simple sklearn based python implementation of Positive-Unlabeled (PU) classification using bagging based ensembles
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Jan 3, 2017 - Jupyter Notebook
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
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Dec 6, 2019 - Python
subsemble R package for ensemble learning on subsets of data
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Aug 1, 2017 - R
A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python
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Apr 13, 2016 - Python
Machine learning toolkits with Python
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Oct 7, 2017 - Jupyter Notebook
An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine.
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Aug 7, 2020 - PHP
R package - Dynamic Ensembles for Time Series Forecasting
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Dec 9, 2019 - R
NLP学习笔记的Notebook,包含经典模型的理解与相关实践。
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Apr 6, 2020 - Jupyter Notebook
Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04
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Oct 18, 2017 - Java
BNote - Open Source Ensemble Management
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Aug 9, 2020 - PHP
Ensemble code for Resnet in Tensorflow slim
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Nov 16, 2016 - Python
In depth machine learning resources
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Dec 4, 2018 - Jupyter Notebook
hi ,I have run animate.py but I think it is only for forecasiting, how can we catch buy and sell signal
I am not so good about python language ,can u help me please
I think we shoulld use train and eval.py for that right? or is there anyway to do this on animate.py
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We would like to forward a particular 'key' column which is part of the features to appear alongside the predictions - this is to be able to identify to which set of features a particular prediction belongs to. Here is an example of predictions output using the tensorflow.contrib.estimator.multi_class_head: