nwoyecid Goto Github PK
Name: Nwoye Chinedu
Type: User
Company: CIDSoft
Bio: Data scientist | ML Engineer
Twitter: nwoyecid
Location: France
Name: Nwoye Chinedu
Type: User
Company: CIDSoft
Bio: Data scientist | ML Engineer
Twitter: nwoyecid
Location: France
My Chat bot codes
Laparoscopic video dataset for surgical action triplet recognition
CholecTriplet 2022 challenge on surgical action triplet detection
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.
A file pages counter
Google Research
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
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
A Python evaluation metrics package for surgical action triplet recognition
Southampton Machine learning lab practices
ByteTracker with a multi-class capability
Bare-bone and simple implementations of few Machine Learning Algorithms
a fork of https://jonbarron.info/ for use in jekyll builds with markdown page updates
Research Outlook of Chinedu Nwoye
Black Scholes, Binomial Lattice of Pricing European and American call and put options
A transformer-inspired neural network for surgical action triplet recognition from laparoscopic videos.
Computation using data flow graphs for scalable machine learning
TensorFlow Tutorials with YouTube Videos
HOTA (and other) evaluation metrics for Multi-Object Tracking (MOT).
Using YOLOV4 as detector for MCMOT.
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.