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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)
machine-learning
ensemble
ensemble-learning
stacking
bagging
blending
stacked-generalization
explain-stacking
stacking-tutorial
ensembling
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Aug 19, 2020 - Python
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pplonski
commented
Jul 18, 2020
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
python
data-science
machine-learning
algorithm
deep-learning
numpy
tabular-data
pytorch
ensemble
automl
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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.
demo
real-time
computer-vision
neural-network
tensorflow
ensemble
mocap
bvh
webcam
gesture-recognition
pose-estimation
3d-animation
3d-pose-estimation
2d-to-3d
bvh-format
rgb-images
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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
competition
convnet
mnist
vgg
rnn
mnist-classification
ensemble
resnet
highway-network
data-augmentation
mnist-model
tf-kr
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May 7, 2017
Keras callback function for stochastic weight averaging
deep-learning
keras
callback
ensemble
weights
callback-functions
keras-callback
keras-implementations
stochasticweightaveraging
weightaveraging
stochastic-weight-averaging
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Aug 14, 2019 - Python
Neutron: A pytorch based implementation of Transformer and its variants.
natural-language-processing
python3
pytorch
transformer
seq2seq
ensemble
beam-search
neural-machine-translation
multi-gpu
attention-is-all-you-need
average-attention-network
deep-representation
dynamic-sentence-sampling
robust-neural-machine-translation
average-models
optimizers
sentential-context
context-aware-nmt
relative-position
dynamic-batch-size
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Jun 17, 2020 - Python
convnet
ensemble
ensemble-learning
convolutional-neural-networks
blood-vessels
diabetic
retinopathy
angiography
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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
machine-learning
clustering
numpy
svm
regression
python3
classification
gbdt
ensemble
decision-tree
dimension-reduction
boosting
lr
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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
python
machine-learning
r
h2o
prediction
artificial-intelligence
hyperparameters
forecasting
gbm
ensemble
satellite-imagery
modis
drought
ensemble-model
landuse
vegetation-health
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Apr 13, 2016 - Python
Machine learning toolkits with Python
python
bootstrap
machine-learning
metrics
scikit-learn
evaluation
cross-validation
ensemble
ensemble-learning
roc
grid-search
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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.
php
data-science
machine-learning
regression
kaggle
kaggle-competition
housing-prices
gradient-boosting-machine
ensemble
rubix
gradient-descent
gradient-boosting
predicting-housing-prices
php-ml
gradient-boosting-regressor
gradient-boosted-trees
machine-learning-tutorial
rubix-ml
gradient-boost
php-machine-learning
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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
machine-learning
svm
probability
cross-validation
regression
cnn
kaggle
gan
rnn
ensemble
logistic-regression
preprocessing
decision-trees
boosting-algorithms
stacking
linear-discriminant-analysis
boosting
perceptron-learning-algorithm
transpose-convolution
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Dec 4, 2018 - Jupyter Notebook
nexaas
commented
May 24, 2020
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: