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image-and-video-processing--from-mars-to-hollywood-with-a-stop-at-the-hospital--duke-university

Contains Study Material of the Course

image-to-3d-bbox

Build a CNN network to predict 3D bounding box of car from 2D image.

index.html

Sruti Bhattacharjee

lasagne

Lightweight library to build and train neural networks in Theano

learn-python

While learning python I am creating this project to get more useful suggestions from other programmers

low-shot-shrink-hallucinate

Presenting Low-shot Visual Recognition by Shrinking and Hallucinating Features

machine-learning

magenta

Magenta: Music and Art Generation with Machine Intelligence

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

matconvnet

MatConvNet: CNNs for MATLAB

minicourse

coding and sharing examples for the SST group minicourses

mlproof

New code for machine learning-based proofreading.

models

Models and examples built with TensorFlow

multipathnet

A Torch implementation of the object detection network from "A MultiPath Network for Object Detection" (https://arxiv.org/abs/1604.02135)

nehe-tutorials-using-glfw

NeHe Tutorials using GLFW for windowing.

neural-storyteller

A recurrent neural network for generating little stories about images

neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

opencv_contrib

Repository for OpenCV's extra modules

painregression

Transferring Face Verification Nets To Pain and Expression Regression

papers

Summaries of machine learning papers

parallel_unet

2D parallel arms of 3D unet for malis.

playground

Play with neural networks!

pnp-ga

pong

Atari's 1972 classic, implemented in Lua with LÖVE

portfolio

resnext

Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks

segmpred

Predicting Deeper into the Future of Semantic Segmentation

sfml

Simple and Fast Multimedia Library

skip-thoughts

Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"

sparseconvnet

Submanifold sparse convolutional networks