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2014_fall_astr599

Content for my Astronomy 599 / Applied Math 500 Course: Intro to scientific computing in Python

3dmm

3D Morphable Model software (https://www.cs.cmu.edu/~efros/courses/AP06/Papers/Blanz-siggraph-99.pdf)

anytime_recognition

arctic-captions

brain-synthesis-lesion-segmentation

Code for the paper "Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks" and NVIDIA DLI workshop on GAN for Medical Imaging

caffo-coursera

A repository of my Coursera latex code and notes

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

clarifai-api-java

Clarifai API Java Client

clarifai_nodejs

Clarifai API Node.js Client

clarifai_py

Clarifai API Python Client

cmvs-pmvs

This software (CMVS) takes the output of a structure-from-motion (SfM) software as input, then decomposes the input images into a set of image clusters of managable size. An MVS software can be used to process each cluster independently and in parallel, where the union of reconstructions from all the clusters should not miss any details that can be otherwise obtained from the whole image set. CMVS should be used in conjunction with an SfM software Bundler and an MVS software PMVS2 (PMVS version 2).

convnet

Convolutional Neural Networks for Matlab. Has versions for GPU and CPU, written on CUDA, C++ and Matlab. All versions work identically. The GPU version uses kernels from Alex Krizhevsky's library 'cuda-convnet2'.

convnet-1

A GPU implementation of Convolutional Neural Nets in C++

crfasrnn

This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/

cs420jhu

Source code for students in Parallel Programming

deep-recursive

Implementation of a deep recursive net over binary parse trees (code for NIPS2014 paper)

deeplab_v3

Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

deepmat

Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders

deeprotator

This is the code for NIPS15 paper "Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis"

dense-optical-flow

The goal is to calculate dense optical flow for a video

detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

docs

Clarifai API documentation for developers

dsn

Deeply-supervised Nets

dvo_slam

Dense Visual Odometry and SLAM

eos

A lightweight 3D Morphable Face Model fitting library in modern C++11/14

google-research

Google Research

gp-structure-search

gpss-research

Kernel structure discovery research code - likely to be unstable

hrnet-semantic-segmentation

High-resolution representation learning (HRNets) for Semantic Segmentation