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2d_projection_matching

3dcnn.torch

Volumetric CNN for feature extraction and object classification on 3D data.

3dgan-release

3D Generative Adversarial Network

adop

cdbn

Convolutional Deep Belief Networks with 'MATLAB','MEX','CUDA' versions

cdbn_matlab

an implementation of Convolutional Deep Belief Network (CDBN) using Matlab

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

colorization

Automatic colorization using deep neural networks. "Colorful Image Colorization." In European Conference on Computer Vision (ECCV) 2016 (oral presentation).

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

convolutional-lstm-in-tensorflow

An implementation of convolutional lstms in tensorflow. The code is written in the same style as the basiclstmcell function in tensorflow

cs131_hws

My solution to assignments in Stanford CS131 Computer Vision: Foundations and Applications (Fall 2018)

csrankings

A web app for ranking computer science departments according to their research output in selective venues.

dcgan-completion.tensorflow

Image Completion with Deep Learning in TensorFlow

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

dcgan_code

Deep Convolutional Generative Adversarial Networks

deepcontext

Author's implementation of 'Unsupervised Visual Representation Learning by Context Prediction'

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.

draw

TensorFlow Implementation of "DRAW: A Recurrent Neural Network For Image Generation"

drwr

dtueval-python

A fast python implementation of DTU MVS 2014 evaluation

fourier_feature_nets

Supplemental learning materials for "Fourier Feature Networks and Neural Volume Rendering"

generativepredictablevoxels

Code release for ECCV16 paper "Learning a Predictable and Generative Vector Representation for Objects"

google-research

Google Research

groundhog

Library for implementing RNNs with Theano

h312h.github.io

helios

ibrnet

kiss-icp

KISS-ICP: In Defense of Point-to-Point ICP – Simple, Accurate, and Robust Registration If Done in the Right Way https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/vizzo2023ral.pdf

kmcuda

Large scale K-means implementation on NVIDIA GPU / CUDA

lidar-simulator

Virtual Generation of Lidar Data for Autonomous Vehicles