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cluster_based_control

cluster_power

Code and data for a simulation project aimed at computing statistical power for various dimensionality reduction and clustering algorithms

clustering-benchmarks

A framework for benchmarking clustering algorithms

clustering.jl

A Julia package for data clustering

clustering_distance

Distance between clustering assignments. Non-trivial measure weighting L0 and L1 Jaccard norms.

clustering_paper

Working paper and notebook for unsupervised document clustering

clustering_softmax_predictions

Python implementations of clustering algorithms applied on the probability simplex domain (e.g. clustering of softmax predictions from Black-Box source models).

clusterr

Gaussian mixture models, k-means, mini-batch-kmeans and k-medoids clustering

clusters-features

The Clusters-Features package allows data science users to compute high-level linear algebra operations on any type of data set. It computes approximatively 40 internal evaluation scores such as Davies-Bouldin Index, C Index, Dunn and its Generalized Indexes and many more ! Other features are also available to evaluate the clustering quality.

clustershapley

Explaining dimensionality results using SHAP values

clustviz

Visualization of many Clustering Algorithms, via Notebook or GUI

cmake-catch2-example

A simple hello world example CMake C++ project that uses Catch2 test framework.

cnm

cnmem

A simple memory manager for CUDA designed to help Deep Learning frameworks manage memory

cnn-benchmarks

Benchmarks for popular CNN models

cnn-for-airfoil

CNN for airfoil lift-to-drag-ratio prediction

cnn-sindy-mlrom

Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.

cnn-surrogate

Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification

cnnforcfd

This folder contains a sample code for the use of convolutional neural network for fluid force prediction of bluff body flows.

cnngenetic

Training convolutional neural networks using the genetic algorithm.

co3

coarseair

Fortran 2008 Code for State-to-State and Coarse-Grained Quasi-Classical Trajectory (QCT) Method

cob

Convolutional Oriented Boundaries

code_saturne

code_saturne public mirror

codes_for_articles

codex_py2cpp

Converts python code into c++ by using OpenAI CODEX.

coherentstructures

Bayesian Optimization to identfy coherent structures in Turbulent boundary layers

collectionview

a script to create an organized tableau from an image collection using unsupervised learning

combml_tutorials

Basic tutorials of supervised, unsupervised, and reinforcement learning

compilednn

A JIT Compiler for Neural Network Inference