juampamuc Goto Github PK

sharevol

Lightweight volume slicing and rendering in WebGL

simpleuv

Automatic UV Unwrapping Library for Dust3D

slides-scipyconf-2018

A repository for public storage of slides given at the 17th Python in Science Conferences (2018)

sparse-octree

A sparse octree data structure.

sparse-voxel-octrees

CPU Sparse Voxel Octree Implementation

spearmint

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

splitbrainauto

Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.

srf

Random Fourier Features

stackedit

In-browser Markdown editor

stackedit.js

Add StackEdit to any website

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

stanford-cs231

Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).

stats-lecture-notes

Statistics lecture notes

stats385.github.io

Stats 385 course website

talks

💥 Browser-based slides or PDFs of our talks and presentations

ternausnetv2

TernausNetV2: Fully Convolutional Network for Instance Segmentation

the-art-of-linear-algebra

Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"

the-complete-guide-to-modern-javascript-from-es2015-to-es2018

A short, easy-to-follow ebook to learn about all the new features introduced from 2015 to 2018. Read more on my blog https://www.inspiredwebdev.com or buy it hre https://leanpub.com/thecompleteguidetomodernjavascript

thebookofshaders

Step-by-step guide through the abstract and complex universe of Fragment Shaders.

three-ply-loader

timebudget

Stupidly-simple speed measurements for Python.

trading_bot

tsimd

Fundamental C++ SIMD types for Intel CPUs (sse, avx, avx2, avx512)

tutorial_bayesiancompressionfordl

A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).

unified-focal-loss

unsupervised-medical-image-segmentation

Code for "Contrastive Registration for Unsupervised Medical Image Segmentation".

vibi

Explaining a black-box using Deep Variational Information Bottleneck Approach

vitalab.github.io

Website of the Vitalab :

vnet