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Growing networks module for pytorch

Optimized tools for semi-discrete optimal transportation (power diagrams, ...)

Exca - Execution and caching tool for python

Python 3.8+ toolbox for submitting jobs to Slurm

COMS W4995 Applied Machine Learning - Spring 20

Operations for CNN on manifolds.

A Prometheus exporter and a REST API server to export metrics of compute units of resource managers like SLURM, Openstack, k8s, _etc_

ChatGPT DAN, Jailbreaks prompt

nannyml: post-deployment data science in python

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Materials for a short course on convex optimization.

Event datasets and transforms.

Analyze how a Git repo grows over time

Application R Shiny conçue pour surveiller la qualité de l'air à la station de métro Châtelet à Paris

Nonlinear measures for dynamical systems (based on one-dimensional time series)

Implementations and experiments for Parallel Transport on Riemannian Manifolds with Schild's and pole ladder.

😈Awful AI is a curated list to track current scary usages of AI - hoping to raise awareness

@CVPR2018: Efficient unrolling iterative matrix square-root normalized ConvNets, implemented by PyTorch (and code of B-CNN,Compact bilinear pooling etc.) for training from scratch & finetuning.

GitHub repository for "A Riemannian Network for SPD Matrix Learning", AAAI 2017.

Code for the paper "Neural Architecture Search of SPD Manifold Networks" IJCAI 2021

Minimal package to manage and reproduce research experiments.

Framework for Information Theoretical analysis of Electrophysiological data and Statistics

C# program to superpose SSVEP and c-VEP flickers on top of other graphical interfaces

BCI datasets and algorithms

A framework for simplying BCI workflow in clinical applications

Awesome Domain Adaptation Python Toolbox