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Scripts for working with NSIDC data in polar stereographic projections.
CO2SYS software for MATLAB (or GNU Octave) to calculate marine CO2 system variables and propagate uncertainties. This software accepts traditional CO2SYS input parameters, as well as carbonate spec…
Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)
Linear Regression, Logistic Regression, and MLP Neural Networks in a tiny educational package.
Calculation of air-sea fluxes - for now only CO2
Deep neural networks without the learning cliff! Classifiers and regressors compatible with scikit-learn.
Using Support Vector regression algorithm to predict horse racing results
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
Objective: Predicting whether the customer will return or not in the next month. Techniques used: XGBoost, logistic regression, attention based LSTM neural network, self attention based transformer…
Kaggle's PetFinder Competition where we create a CNN- and transformer-based regression model that takes an image and a boolean array as inputs.
This is an 'Attention is all you need' network application on non_nlp data.
Regression Transformer (2023; Nature Machine Intelligence)
Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.
Zotero extension to retrieve and validate DOIs and shortDOIs
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
NAS-guided Lightweight Multiscale Attention Fusion Network for Hyperspectral Image Classification
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)
Vision Transformer (ViT) in PyTorch
Pytorch version of Vision Transformer (ViT) with pretrained models. This is part of CASL (https://casl-project.github.io/) and ASYML project.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch