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saltwater-tensor's Projects

hfopt-matlab icon hfopt-matlab

A parallel, cpu-based matlab implemention of the Hessian Free (HF) optimization (feed forward networks, recurrent neural networks (RNN), multiplicative recurrente neural networks (MRNN)).

hmm-mar icon hmm-mar

Toolbox for segmentation and characterisation of transient connectivity

holoviews icon holoviews

With Holoviews, your data visualizes itself.

hypothesis icon hypothesis

Hypothesis is a powerful, flexible, and easy to use library for property-based testing.

kedro icon kedro

A Python framework for creating reproducible, maintainable and modular data science code.

manim icon manim

A community-maintained Python framework for creating mathematical animations.

manopt icon manopt

Manopt, a Matlab toolbox for optimization on manifolds

mapalign icon mapalign

Diffusion map based embedding and alignment

mljar-supervised icon mljar-supervised

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

mmae icon mmae

Package for Multimodal Autoencoders in TensorFlow / Keras

neuralcde icon neuralcde

Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)

neuralflow icon neuralflow

The framework for inferring Langevin dynamics from spike data

nixtla icon nixtla

Automated time series processing and forecasting.

oi-vae icon oi-vae

Code for "oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis"

optimviz icon optimviz

Visualize optimization algorithms in MATLAB.

phate icon phate

PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.

pot icon pot

POT : Python Optimal Transport

pybind11 icon pybind11

Seamless operability between C++11 and Python

pymanopt icon pymanopt

Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation

pyprobml icon pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

pyriemann icon pyriemann

Python package for covariance matrices manipulation and Biosignal classification with application in Brain Computer interface

pysvihmm icon pysvihmm

Implementation of stochastic variational inference for Bayesian hidden Markov models.

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