Projects with this topic
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This project provides several implementations that can be used to analyze Hessians associated with synthetic and empirical loss functions.
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Extract video representations (semantic, geometric, deep features) for the frames of any video.
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Lightweight C library for creating, training, and evaluating simple neural networks
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This is an implementation of a very simple neural network from scratch.
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Automated pipeline for decensoring of doujinshis, using HentAI and DeepCreamPy. Supply an Imgur album link, nhentai link or nhentai id, wait 15-30 minutes, and download significantly decensored images.
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Custom Neural Network written in C++, test app written using gtkmm4, CPU only.
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Splits text into chunks for quick lookup, chunks stored on disk encrypted.
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This is a project that implements a simple neural network.
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Neural Network for MicroPython
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An example of tabular data regression (parameter estimates) using TabNet
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An n-dimensional convolutional neural network (CNN), written from scratch in Julia.
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Supplementary material associated with the book: "Probabilistic Spiking Neuronal Nets -- Data, Models and Theorems" by Antonio Galves, Eva Löcherbach and Christophe Pouzat.
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Internet marketing executive, internet service connection provider, publishing corporation, Digital adults publishing, Digital marketing and advertising industry, Digital media podcast broadcasting streaming games development business developer business Ownership Digital analytics program, IPV6 IPV4, LOCAL NET, INTERNET MARKETING FIR, SEPTEMBER, SEO AGENCY, SERP MASTER, SOCIAL MEDIA NETWORK, SOFTWARE DEVELOPMENT
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A simple multilayer perceptron (MLP), also known as a fully connected feedforward artificial neural network, written from scratch in Julia.
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