Nwoye Chinedu (nwoyecid)

nwoyecid

Geek Repo

Company:CIDSoft

Location:France

Home Page:https://nwoyecid.github.io

Twitter:@nwoyecid

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Organizations
CAMMA-public
chinedu-nwoye

Nwoye Chinedu's repositories

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cholect45

Laparoscopic video dataset for surgical action triplet recognition

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ConvLSTM-Surgical-Tool-Tracker

This repo contains an implementation code for the weakly supervised surgical tool tracker. In this research, the temporal dependency in surgical video data is modeled using a convolutional LSTM which is trained only on image level labels to detect, localize and track surgical instruments.

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ivtmetrics

A Python evaluation metrics package for surgical action triplet recognition

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Chatbot

My Chat bot codes

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cholectriplet2022

CholecTriplet 2022 challenge on surgical action triplet detection

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nwoyecid.github.io

Research Outlook of Chinedu Nwoye

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rendezvous

A transformer-inspired neural network for surgical action triplet recognition from laparoscopic videos.

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Doccou

A file pages counter

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google-research

Google Research

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Graph-Cut

Graph-cut Image Segmentation ---------------------------- Implements Boykov/Kolmogorov’s Max-Flow/Min-Cut algorithm for computer vision problems. Two gray-scale images have been used to test the system for image segmentation (foreground/background segmentation) problem. Steps: 1. defined the graph structure and unary and pairwise terms. For graph structure, i have used available packages/libraries such as PyMaxflow. 2. likelihood function for background and foreground has been generated. 3. General energy function consisting of unary and pairwise energy functionals have been written. 4. Likelihood maps (intensity map ranging from 0 to 1) for foreground and background have been displayed. 5. Use Boykov/Kolmogorov maxflow / mincut approach for solving the energy minimization problem. 6. Final segmentation have been displayed. Created an image for which the background pixels are red, and the foreground pixels have the color of the input image. Relevant paper can be found here: http://www.csd.uwo.ca/~yuri/Papers/pami04.pdf

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imagen-pytorch

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

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MachineLearningTechniques

Southampton Machine learning lab practices

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MCMOT-ByteTrack

ByteTracker with a multi-class capability

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ML_Algo_Implemented

Bare-bone and simple implementations of few Machine Learning Algorithms

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new_website

a fork of https://jonbarron.info/ for use in jekyll builds with markdown page updates

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option_pricing

Black Scholes, Binomial Lattice of Pricing European and American call and put options

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tensorflow

Computation using data flow graphs for scalable machine learning

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TensorFlow-Tutorials

TensorFlow Tutorials with YouTube Videos

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TrackEval

HOTA (and other) evaluation metrics for Multi-Object Tracking (MOT).

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YOLOV4_MCMOT

Using YOLOV4 as detector for MCMOT.

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