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Location: Minga
juampamuc's Projects
pml2-book
Probabilistic Machine Learning: Advanced Topics
post--deconv-checkerboard
Deconvolution and Checkerboard Artifacts
postprocessing
A post processing library that provides the means to implement image filter effects for three.js.
pr-slides
This repository contains the slides of the FAU lecture Pattern Recognition
practical-deep-learning-for-coders-2.0
Notebooks for the "A walk with fastai2" Study Group and Lecture Series
presentations
Presentation slides from conferences
profile_stats306b
Ipython profile for stats306b
proxy-anchor-cvpr2020
Official PyTorch Implementation of Proxy Anchor Loss for Deep Metric Learning, CVPR 2020
py-findpeaks
Overview of the peaks dectection algorithms available in Python
py_d3
D3 block magic for Jupyter notebook.
pymarchingcubes
Marching cubes with and without color interpolation, and edge subsampling.
pymorton
A lightweight and efficient Python Morton encoder with support for geo-hashing
pythonbooks
Directory of free Python ebooks
pythondatasciencehandbook
Python Data Science Handbook: full text in Jupyter Notebooks
pytorch-backprojection
This code accompanies "Differentiable probabilistic models of scientific imaging with the Fourier slice theorem", UAI 2019
pytorch-custom-cuda-tutorial
Tutorial for building a custom CUDA function for Pytorch
pytorch-segmentation
Pytorch for Segmentation
pytorch_memonger
Experimental ground for optimizing memory of pytorch models
pytorchviz
A small package to create visualizations of PyTorch execution graphs
quadtree-neighbor-finding
Code to find neighbor nodes in a Quadtree
raytracing-from-scratch
Building a simple raytracer: step-by-step from scratch; zero dependencies; 100% pure C++
raytracing.github.io
Main Repo / Main Web Site
receptivefield
Gradient based receptive field estimation for Convolutional Neural Networks
responsive-tools
Make responsive design less annoying
s2cnn
Spherical CNNs
scipy-2017-sklearn
Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller
self-supervised-fewshot-medical-image-segmentation
[ECCV'20] Self-supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation (code&data-processing pipeline)
self-validation
Self-Validation: Early Stopping for Single-Instance Deep Generative Priors
shadernavigator
Arbitrary slicing (aka. obliques) of large multiresolution voxel dataset, using shaders on GPU, webGL and octree data structure. Also able to load meshes. Work in progress.
sharevol
Lightweight volume slicing and rendering in WebGL
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