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MobileNetV2 for fastaiV1 (pretrained and with [optional] batchnorm fusion)
Genetic feature selection module for scikit-learn
Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].
A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features
Docker based Jupyter Notebook with some extra packages for geospatial work
A Google Earth Engine tool for identifying satellite radar interference.
Python package for missing-data imputation with deep learning
PyTorch implementation of "MIDA: Multiple Imputation using Denoising Autoencoders"
A game theoretic approach to explain the output of any machine learning model.
Original transformer paper: Implementation of Vaswani, Ashish, et al. "Attention is all you need." Advances in neural information processing systems. 2017.
LSTM, GRU cell implementation from scratch in tensorflow
Minimal RNN classifier with self-attention in Pytorch
A collection of modern/faster/saner alternatives to common unix commands.
Ready-to-run Docker images containing Jupyter applications
A python program to increase YouTube video views. Can also be used for running multiple instances of a website using different proxies.
Official Julia Docker image + Miniconda3 + JupyterLab from conda-forge
Configuración de Hyperfido U2F Securiry Key en Linux Mint
Higuchi Fractal Dimension (HFD) for 1D(time) series
A tour in the wonderland of math with python.
Building and training artificial neural networks (regression or classification) using the genetic algorithm.
One cycle policy learning rate scheduler in PyTorch
Pytorch notebook with One Cycle Policy implementation (https://arxiv.org/abs/1803.09820)
Several examples of anomaly detection algorithms for time series data.
Pynamical is a Python package for modeling and visualizing discrete nonlinear dynamical systems, chaos, and fractals.