nkapila6/skorchflow

reusable sk(t)orch + MLFlow pipeline template to use for projects

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34j/sklearn-utilities

Utilities for scikit-learn. Append prediction to x, append prediction to x single, append x prediction to x, compose var estimator, data frame wrapper, drop by noise prediction, drop missing rows y, dummy regressor var, estimator wrapper base, excluded column transformer pandas, feature union pandas, id transformer, included column transformer pand

Language: Python - Size: 399 KB - Last synced at: 8 days ago - Pushed at: 14 days ago - Stars: 3 - Forks: 1

kostask200/crop-recommendation-neural-network-DL

A neural network-based crop recommendation system leveraging soil and environmental data. Achieved 98% accuracy through hyperparameter tuning and evaluation of two architectures with 2 and 5 hidden layers.

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mehrdaddjavadi/LinearRegresion

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weichi21/PyTorch-Neural-network-median-house-price-prediction

PyTorch application for regression task

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albertobas/bank-microservices

A microservices-based architecture bank application that includes back-end and front-end applications, as well as a binary classification model, smart contracts to store data on-chain and TheGraph subgraphs.

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vinhdq842/MNIST-classification

Train a simple CNN for handwritten digit classification.

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mllite/pytorch2sql

Deep Learning (PyTorch) Models Deployment using SQL databases

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naotoo1/Diabetes-Disease-Classification-using-Pytorch-and-Skorch

ANN implementation for diabetes disease classification case study using Pytorch and Skorch

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lmedeiro/fe_and_pm_for_financial_time_series

Feature Engineering and Predictive Modeling for Financial Time Series Data

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FernandoLpz/SKORCH-PyTorch-Wrapper

This repository shows an example of the usability of SKORCH to train a PyTorch model making use of different capabilities of the scikit-learn framework.

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pavsidhu/aida

Your digital assistant for meeting new people 👬🏼

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sayakpaul/PyTorch-sklearn-with-skorch

Notebook to show the usage of skorch to wrap PyTorch models for making them sklearn compatible.

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