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Search results for deep learning regression models
deep-learning
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regression-models
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15 search results found
Hyperlearn
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1,387
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
100daysofmlcode
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302
My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings 👍
Machine Learning Notebooks
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241
Machine Learning notebooks for refreshing concepts.
Ml Dl Scripts
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106
The repository provides usefull python scripts for ML and data analysis
Notebooks
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101
Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers.
Appendices
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25
Complement the article 'Differential Machine Learning' (Huge & Savine, 2020), including mathematical proofs and important implementation details for production
Btc_data
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23
This repository contains the code and datasets for creating the machine learning models in the research paper titled "Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach"
Tf 1d 2d Resnetv1 2 Seresnet Resnext Seresnext
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18
Models supported: ResNet, ResNetV2, SE-ResNet, ResNeXt, SE-ResNeXt [layers: 18, 34, 50, 101, 152] (1D and 2D versions with DEMO for Classification and Regression).
Deep Learning Workshop
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14
The repository contains python codes, which I have developed as the facilitator of the two consecutive Deep Learning Workshops (I and II) for the master's students of computer science, University of Windsor.
Intro_to_dl_tutorial
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11
Material for introduction to Deep Learning Tutorials, Summer '20, '21
Deep Learning Pytorch Course Materials
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9
This Repository contains Python Notebooks to learn PyTorch starting from the very basics of implementing gradient descent algorithm in Python and Numpy and slowly moving up the ladder to Deep Learning using PyTorch
Udemy Self Driving Car
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8
🚗[src] + [personal notes] for the "Self-Driving Car" course on UDEMY
Regression Error Characteristic Curve
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8
Regression Error Characteristic (REC) Curves in Python
Time Series Forecasting Using Machine Learning Algorithm
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7
Sensor data of a renowned power plant has given by a reliable source to forecast some feature. Initially the work has done with KNIME software. Now the goal is to do the prediction/forecasting with machine learning. The idea is to check the result of forecast with univariate and multivariate time series data. Regression method, Statistical method.
Pinnev
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5
Partially-Interpretable Neural Networks for Extreme Value modelling
Machine Learning
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5
My Implementation of Machine Learning models
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