mrgloom

:metal: awesome-semantic-segmentation

A curated list of semantic segmentation research papers, code implementations, and datasets, organized by method type and domain to help researchers and engineers find proven approaches to pixel-level image labeling.

Face swapping, Image morphing, Image warping.

Face landmarks(fiducial points) detection benchmark

Network acceleration methods

List of Kaggle competitions in the field of Computer Vision

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Kaggle dogs vs cats solution in Caffe

Example of semantic segmentation in Keras

Simple pixelwise skin detection using classification tree.

Just a MNIST dataset in different formats

Deep learning on EC2 AWS

CNN detector evaluation

tags: transfer learning, domain adaptation, finetuning, one-shot learning, zero-shot learning.

Kaggle Facial Keypoints Detection Solutions

NOAA Fisheries Steller Sea Lion Population Count

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Messing around hamming distance.

Large Scale Linear Classification Methods Evaluation

FDDB Dataset Evaluation

Just a github copy of http://vis-www.cs.umass.edu/code/congealingcomplex/

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Tensorflow related examples, tutorials, projects list.

End-to-end char sequence recognition in Keras

C++ tips tricks and idioms

Implementation of linear SVM and HOG

Deep learning tutorials (2nd ed.)

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Evaluation of Labeled Faces in the Wild (LFW Face Database).

A curated list of resources dedicated to Natural Language Processing

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Convolutional Neural Network benchmark

List of finished projects and long term ongoing projects.

Caffe .prototxt, logs, code snippets for pursonal usage only, nothing intersting.

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PCA and SVD Evaluation

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A curated list of awesome computer vision resources

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

Evaluation of different method for face normalization

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Example of CNN for blob counting

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Code for ICCV 2015 paper "Context-aware CNNs for person head detection"

Morph faces with Python OpenCV, Numpy, Scipy

Neural net to compare human faces.

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

Texture Classification Evaluation

Local Binary Pattern and Local Binary Test features related materials.

Semantic Segmentation for Aerial Imagery using Convolutional Neural Network

Gradient Descent Algorithms Benchmark

Evaluation functions for music/audio information retrieval/signal processing algorithms.

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Unofficial repository for the Barnes-Hut version of t-SNE by Laurens van der Maaten

a matlab independent implementation based on Ben Pryke's TLD

CVXOPT -- Python Software for Convex Optimization

PyTables is a package for managing hierarchical datasets and designed to efficiently and easily cope with extremely large amounts of data. This a git-svn clone of the Pro version recently released under a BSD-flavored license by Francesc Alted!

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Toy example of position and radius estimation

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Movie plots by genre tutorial at PyData Berlin 2016

Visual Attention based OCR

papers on large-scale machine learning and systems

A complete daily plan for studying to become a machine learning engineer.

多标签分类,端到端的中文车牌识别基于mxnet, End-to-End Chinese plate recognition base on mxnet

SSD-based plate detection

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

Summaries of machine learning papers

Source code for object detection with And-Or Graphs

Source code for our ECCV16 paper, Face Detection with End-to-End Integration of a ConvNet and a 3D Model

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Auto-tuning Data Science Pipelines

Rect Tool

A tool using OpenCV to annotate images for image classification, optical character reading, ...

Image Registration Evaluation

TI-pooling: transformation-invariant pooling for feature learning in Convolutional Neural Networks

Bing streetside feature detector

A curated list of awesome awesomeness

:mortar_board: Path to a free self-taught education in Computer Science!

The goal of this Fourier analysis exercise is to understand the Fourier analysis itself alongside some applications mainly focused on magnitude and phase. Two main exercises will be discussed in this report, first the template matching using Symmetric Phase Only Matched Filters (SPOMF) and Image Registration with Fourier-Mellin Invariant (FMI) – SPOMF. The goal of this Fourier analysis exercise is to understand the Fourier analysis itself alongside some applications mainly focused on magnitude and phase. Two main exercises will be discussed in this report, first the template matching using Symmetric Phase Only Matched Filters (SPOMF) and Image Registration with Fourier-Mellin Invariant (FMI) – SPOMF. The goal of this Fourier analysis exercise is to understand the Fourier analysis itself alongside some applications mainly focused on magnitude and phase. Two main exercises will be discussed in this report, first the template matching using Symmetric Phase Only Matched Filters (SPOMF) and Image Registration with Fourier-Mellin Invariant (FMI) – SPOMF. The goal of this Fourier analysis exercise is to understand the Fourier analysis itself alongside some applications mainly focused on magnitude and phase.Two main exercises will be discussed in this report, first the template matching using Symmetric Phase Only Matched Filters (SPOMF) and Image Registration with Fourier-Mellin Invariant (FMI) – SPOMF.

A list of recent papers regarding deep reinforcement learning

Warps an image by a few control points.

Fiji module for image transformation and related algorithms

age and gender estimation using caffe network

A curated list of awesome SLAM tutorials, projects and communities.

Bayesian Optimization List

Learning Modern 3D Graphics Programming

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Advanced Scikit-learn training session

This project implements a CUDA based implementation of a standard rasterized graphics pipeline, similar to the OpenGL pipeline. This includes CUDA based vertex shading, primitive assembly, perspective transformation, rasterization, fragment shading, and writing of the resulting fragments to a framebuffer.

Enabling journalists, citizen scientists, humanitarian workers and others to detect “patterns of interest” in satellite imagery.

https://github.com/JoeyDeVries/LearnOpenGL

L-BFGS-B implementation in C++11 using Eigen

95.8% and 80% on CIFAR-10 and CIFAR-100

Replace faces in any video with your own! Made for Terrible Hacks

Compact CNN cascade for face detection

common data analysis and machine learning tasks using python

A list of awesome Robotics resources

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Numerical Analysis Implementations in Various Languages

A distributed torch framework for heterogeneous systems

Public facing notes page

machine learning and deep learning tutorials, articles and other resources

The code for Recombinator Networks paper.

Python Reinforcement Learning Algorithms for the Arcade Learning Environment

Component Analysis using Torch7 (PCA, Whitened PCA, LDA, LPP, NPP, FastICA)

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Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.

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The original code from the DeepMind article + my tweaks

A tutorial series for learning OpenCL

Code for the Kaggle Ensembling Guide Article on MLWave

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

Real-time 3D face tracking and reconstruction from 2D video

Practise of DeepID for Face Classification

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

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

Image and mesh annotation web application

A machine learning model that predicts facial attractiveness from images

"Py"thon program for "Poi"sson Image Editing

Source code for the LabelMe annotation tool.

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Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders

http://www.cbsr.ia.ac.cn/users/scliao/projects/npdface/

Matlab implementing the sketching part of Shai Bagon, Or Brostovsky, Meirav Galun and Michal Irani's Detecting and Sketching the Common (CVPR 2010).

Winter Study of CVLAB@SNU in Preparation for ECCV 2016

Generate cat images with neural networks

using c++ code to show the example of machine learning

GUI for cropping a large amount of images quickly.

Winning solution for the Galaxy Challenge on Kaggle (http://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge)

Material for ODSCON San Francisco 2015

Evaluation of Deep Learning Frameworks

Plate recognition for russian numbers

The "Python Machine Learning" book code repository and info resource

3D Face Reconstruction from a Single Image (3rd version)

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Training Deep Neural Networks with binary weights during propagations

Evaluation of k-means algorithms

General Assembly's Data Science course in Washington, DC

ER - Modified C++ implementation of the Zhu face detection algorithm

Source code for the LabelMe annotation tool.

Multi-view Face Detection Using Deep Convolutional Neural Networks

Python module to perform under sampling and over sampling with various techniques.

Face recognition with Google's FaceNet deep neural network.

Using stochastic gradient descent (SGD) with explicit and implicit updates to fit large-scale statistical models.

Music Composing using different methods

A curated list of awesome Torch tutorials, projects and communities

Darwin: A Framework for Machine Learning Research and Development

Texton boost implementation in C++ by Philipp Kraehenbuehl

Code for Kaggle-CIFAR10 competition. 5th place.

A series of machine learning tutorials for Torch7

OpenCL optimized SVM library

Implementation of the CVPR 2015 paper: Learning to propose objects

Javascript image annotation tool based on image segmentation.

Pascal VOC Evaluation

Detect bounding boxes of objects in images

Learning Rich Features from RGB-D Images for Object Detection and Segmentation

A simple implementation of convolutional networks in Matlab

v1s eval for MIT 6.870 (2009)

Code used in "How far can you get with a modern face recognition test set using only simple features? - Pinto N, DiCarlo JJ, Cox DD (CVPR 2009)"

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/

Survey of hyperparameter optimization use in NIPS2014

Code for "Mondrian Forests: Efficient Online Random Forests"

The implementation of some machine learning algorithms

Full version (training+testing) of implementation of Shizhan Zhu et al.'s CVPR-15 work Face Alignment by Coarse-to-Fine Shape Searching

Face crawler

ArrayFire: a general purpose GPU library.

ML library with emphasis on the sparse linear model.

Joint Cascade Face Detection and Alignment

k-means + a linear model = good results

K-means feature learning on CIFAR-10 translated to Torch

Various configurations of two layer networks.

script for RBM training (based on github.com/cudamat)

Javascript library for precise tracking of facial features via Constrained Local Models

UFLDL tutorial exercises written in C++ using libLBFGS, Eigen3 and OpenCV libraries.

trying out new things in FaceRecognition

A computer vision project to infer people's gender, age, and personality traits from Facebook profile photos.

ICML 2013 experiments for "Consistency of Online Random Forests" using rftk

Sample applications built using Amazon Machine Learning.

A lightweight and user friendly C++ library for deep and convolutional neural network with GPU acceleration

Flattened convolutional neural networks (1D convolution modules for Torch nn)

Code samples for my book "Neural Networks and Deep Learning"

The Deep Learning training framework on Spark

rewrite the matlab code of pcanet into c++

books that I read

FastHOG library that has been fixed to work with CUDA 5.x on Ubuntu 12.04

gSLICr: Real-time super-pixel segmentation

Code for Deformation Dictionaries CVPR 2014 paper

Code for the ICCV 2011 paper"Semantic contours from inverse detectors"

Code for SDS

This is an open-source implementation of Xiao's image colour transfer algorithm published in 2006. MATLAB/Octave code is provided.

Faster R-CNN

I implement RBM, DBN, Multi-modal DBN with Python and the majority of matrix operations are executed on GPU. In this project I employ Cudamat and Numpy python libs.

Bayesian Data Analysis demos for Matlab/Octave

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