A TensorFlow Probability Implementation of Manifold-Constrained Gaussian Process Inference (MAGI)

SBINN: Systems-biology informed neural network

Code for the paper "Auto differentiable Ensemble Kalman Filters" (https://arxiv.org/abs/2107.07687), accepted for publication in SIAM Journal on Mathematics of Data Science (SIMODS)

Gaussian process learning for nonlinear dynamics

Implementation of FGPGM in python 2.7, based on the paper "Fast Gaussian Process Based Gradient Matching for Parameter Identification in Systems of Nonlinear ODEs" by Philippe Wenk, Alkis Gotovos, …

Code associated with the paper "Ensemble Kalman Filters with Resampling"

A supervised machine learning semantic segmentation approach for detecting artifacts in plethysmography signals from wearables

Matplotlib styles for scientific plotting

Synchrosqueezing, wavelet transforms, and time-frequency analysis in Python

A Python toolbox for conformal prediction research on deep learning models, using PyTorch.

Contrastive Learning of Shared SpatioTemporal EEG Representations across individuals

Improved Deep Metric Learning with Multi-class N-pair Loss Objective

Siamese and triplet networks with online pair/triplet mining in PyTorch

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

Benchmarking LLMs via Uncertainty Quantification

Code for the paper ``Error Bounds for Learning with Vector-Valued Random Features'' (NeurIPS 2023, Spotlight)

Code for the paper "The Random Feature Model for Input-Output Maps between Banach Spaces" (SIREV SIGEST 2024, SISC 2021)

😎 A curated list of awesome practical Metric Learning and its applications

SiamAF: Learning Shared Information from ECG and PPG Signals for Robust Atrial Fibrillation Detection

A very simple implementation of the Extreme Learning Machine Algorithm (Deep Learning implementation)

Pytorch implementation of Extreme Learning Machine

Extreme Learning Machine implemented in Pytorch

Repo for "Fair Conformal Predictors for Applications in Medical Imaging" paper

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

A library to scrap google images