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22 search results found

Machine Learning With Python ⭐ 2,980

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Awesome Community Detection ⭐ 2,232

A curated list of community detection research papers with implementations.

Text_classification ⭐ 1,621

Text Classification Algorithms: A Survey

Machine Learning Notebooks ⭐ 241

Machine Learning notebooks for refreshing concepts.

Pytorch_cpp ⭐ 215

Deep Learning sample programs using PyTorch in C++

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

Selfsne ⭐ 147

Self-Supervised Noise Embeddings (Self-SNE) for dimensionality reduction and clustering

Walklets ⭐ 96

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).

A library for dimensionality reduction on spatial-temporal PDE

Hippyflow ⭐ 32

Dimension reduced surrogate construction for parametric PDE maps

Keras Temporal Autoencoder ⭐ 23

Keras framework for autocovariance-based dimensionality reduction of time series data with deep neural networks.

Machine_learning ⭐ 21

A repository of resources for understanding the concepts of machine learning/deep learning.

Machine_learning_a Z_all_codes_and_templates ⭐ 20

All codes, both created and optimized for best results from the SuperDataScience Course

Pod Dl Rom ⭐ 17

Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition. Available on doi.org/10.1016/j.cma.2021.114181.

Data Science ⭐ 17

Utilizing Kaggle Data and Real-World Data for Data Science and Prediction in Python, R, Excel, Power BI, and Tableau.

Quickselection ⭐ 15

[Machine Learning Journal (ECML-PKDD 2022 journal track)] Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders

Geometry Regularized Autoencoders (GRAE) for large-scale visualization and manifold learning

Exploitcnn Rnn ⭐ 11

Exploiting Multi-Layer Features Using a CNN-RNN Approach for RGB-D Object Recognition

Ml Algorithms On Scikit And Keras ⭐ 8

Implementation scripts of Machine Learning algorithms on Scikit-learn and Keras for complete novice..

A simple library for t-SNE animation and a zoom-in feature to apply t-SNE in that region

Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning

Tensorflow2.0_notebooks ⭐ 6

Implementation of a series of Neural Network architectures in TensorFow 2.0

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