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Name: Nkiruka Uzuegbunam
Type: User
Company: NUELuno
Bio: PhD, Computer Vision/Image Processing
Location: in the stars, right now
Blog: nikky4D.github.io
Name: Nkiruka Uzuegbunam
Type: User
Company: NUELuno
Bio: PhD, Computer Vision/Image Processing
Location: in the stars, right now
Blog: nikky4D.github.io
Solving UCF-101 with fastai2
A curated list of deep learning resources for computer vision
This repository contains a publicly available version of CFCM: segmentation via Coarse to Fine Context Memory, a paper accepted at MICCAI 2018 for presentation.
A new technique to increase receptive field in convolutional neural networks without losing so much information.
The Contextual Loss
This repository contains the reference implementation for our proposed Convolutional CRFs.
Matlab and Octave GPU Accelerated Deep Learning Toolbox
Testbed for re/learning Git and Github with variety of sources
Materials for a short course on convex optimization.
Assignments from the Data Scientist's toolbox course on Coursera
The Leek group guide to data sharing
Densely Connected Pyramid Dehazing Network (CVPR'2018)
Implementation codes of ECCV 2018 paper "Decouple Learning for Parameterized Image Operators"
Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189
Instance Segmentation by Deep Coloring
Summaries and notes on Deep Learning research papers
Implementation of some deep learning models
A PyTorch Implementation for Densely Connected Convolutional Networks (DenseNets)
density_estimation
Official implementation for the paper "Deep ViT Features as Dense Visual Descriptors".
Dilated Residual Networks
Style transfer, deep learning, feature transform
code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".
FgSegNet: Foreground Segmentation Network, Foreground Segmentation Using a Triplet Convolutional Neural Network for Multiscale Feature Encoding
Fast computation of Gauss transforms in multiple dimensions; enables efficient Kernel Density Estimation (KDE) with Gaussian kernels.
C++ \ Matlab library for finding face landmarks and bounding boxes in video\image sequences.
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Matlab toolbox for Geometry Processing.
MATLAB wrapper to the max-flow/min-cut algorithm by Boykov and Kolmogorov: interface with dynamic cuts
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.