brotherofken

caffe_configuration_helpers

Wrapper around caffe.pycaffe for less-error-prone writing of network configurations

lyx_layouts

ESKDX and GOST 7.32 layouts for LYX.

no_fuss_dml

coldet

kaggle_rsna

Public baseline for RSNA Pneumonia Detection Challenge using TF Object Detection API

national_data_science_bowl_2

OpenDataScience team solution for second national data science bowl

bokehrendering

Automatically exported from code.google.com/p/bokehrendering

google-research

Google AI Research

ppmp_exercises

Exercises that I've been doing while reading Programming Massively Parallel Processors book.

accidental_try_in_nlp

arogozhnikov.github.io

Sources of 'brilliantly wrong'

Atomic

denis bider's Atomic library (C++, for Windows)

brotherofken.github.io

caffe

Caffe: a fast open framework for deep learning.

chan_vese

Scientific Computing course project

ChanVese

Code implementing the Chan-Vese segmentation algorithm in C++ and Matlab.

ffcc

Fast Fourier Color Constancy: an auto white balance solution with machine learning in Fourier space

fssr

Floating Scale Surface Reconstruction

guided_filtering

Guided Filter implementation

Halide

a language for fast, portable data-parallel computation

hdr-plus

HDR+ Implementation

hdrnet

An implementation of 'Deep Bilateral Learning for Real-Time Image Enhancement', SIGGRAPH 2017

Joint_Bayesian

According to the paper "Bayesian Face Revisited: A Joint Formulation", the repository realizes the algorithm of Joint Beyesian with Matlab and achieve the same result as the paper

mve

Multi-View Environment

mvs-texturing

Algorithm to texture 3D reconstructions from multi-view stereo images

OpenFace

OpenFace – a state-of-the art open source tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.

raw2dng

Linux utility for converting raw photo files into DNG, TIFF or JPEG format

rl_playground

Bunch of scripts for solving environments from gym.openai.com.

SparseConvNet

Spatially-sparse convolutional networks. Allows processing of sparse 2, 3 and 4 dimensional data.Build CNNs on the square/cubic/hypercubic or triangular/tetrahedral/hyper-tetrahedral lattices.

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow