m-niemeyer/m-niemeyer.github.io

A lightweight and responsive website template that automatically crawls papers and talks from bibtex files

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m-niemeyer/regnerf

Project page for RegNeRF

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m-niemeyer/handwritten-digit-recognition-random-forest

This is an example for how handwritten digits can be learnt with random forests

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m-niemeyer/handwritten-digits-with-topic-modelling

This work shows an example of how handwritten digits can be learnt purely from data with the topic modelling concept

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m-niemeyer/mipnerf Fork of google/mipnerf

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m-niemeyer/homepage3

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m-niemeyer/Soft-K-Means

An implementation of the soft-k-means algorithm in Matlab

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m-niemeyer/Traffic-Sign-Classification

A CNN model to classify German traffic signs

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m-niemeyer/google-research Fork of google-research/google-research

Google Research

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m-niemeyer/DSNeRF Fork of dunbar12138/DSNeRF

Code release for DS-NeRF (Depth-supervised Neural Radiance Fields)

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m-niemeyer/generative-adversarial-networks-tutorial

A tutorial about generative adversarial networks with the example of generating handwritten digits

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m-niemeyer/GAN-Metrics Fork of xuqiantong/GAN-Metrics

An empirical study on evaluation metrics of generative adversarial networks.

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m-niemeyer/pytorch_introduction

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m-niemeyer/Simple_Neural_Network

A simple neural network with 2 input, 2 hidden, and 2 output neurons

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m-niemeyer/image_denoising_graphical_model

This is an example implementation of a graphical model in the domain of image denoising

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m-niemeyer/Inference_Gaussian_Mixture_EM_Algorithm

This script illustrates the use of the EM Algorithm in a Gaussian mixture model

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m-niemeyer/Single_Input_Two_Neurons_NN

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m-niemeyer/MNIST_Classification

A neural network (one input, three hidden, one output layer) to classify the MNIST handwritten digits

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m-niemeyer/MNIST_Classification_CPP

A simple neural network to classify the handwritten digits from the MNIST data set

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m-niemeyer/Convolutional_Network

A simple convolutional network to classify handwritten digits

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m-niemeyer/arxiv-latex-cleaner Fork of google-research/arxiv-latex-cleaner

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

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