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Name: Guy Kabiri
Type: User
Bio: Deep Learning / Computer Vision
Name: Guy Kabiri
Type: User
Bio: Deep Learning / Computer Vision
Final project in C++ course (without using STL and templates).
Final project in C++ course (with STL and templates).
Labs and assignments of `Computer Vision` course.
The Shearsort algorithm is implemented using Odd-Even sorting. In this implementation, C is used along with MPI.
A lab as part of the 'Embedded Systems' course. Using switches to control LEDs and generate sound.
A continue lab to 'Lab1' as part of the 'Embedded Systems' course. Using switches to control LEDs and generate sound, and controlling the LCD.
A lab as part of the 'Embedded Systems' course. Program a new characters into the RAM and display it on the LCD.
Object detection exercise for the Neural Networks for Computer Vision course. Using stratified KFold for data with multiple labels and instances, and self-implementation of mAP with multiple configurations.
Four-in-a-Row game for a university course. Written in Python, using Tkinter and pyGame. Includes client-server communication over sockets and a multi-process logger with a listener.
An Exercise as a part of the `Operation Systems` course. Calculate the gcd of pairs of numbers using processes and pipes in C.
An Exercise as a part of the `Operation Systems` course. Calculate the gcd of pairs of numbers using threads and mutex lock in C.
Exercise on captioning images in the Neural Networks for Computer Vision course. Using the Flickr8K dataset, and simple encoder-decoder architecture. Evaluation based on Cross-Entropy loss and 4-gram Bleu score.
Keras implementations of three language models: character-level RNN, word-level RNN and Sentence VAE (Bowman, Vilnis et al 2016).
Parallel sequence alignment program that finds the optimal mutation in one sequence of the other. Parallelizes CPU and GPU using OpenMP and CUDA, and communicates with multiple computers using MPI.
Kaggle's plant disease image classification competition. Finetuning pre-trained CNN models, loss functions, and optimizers in order to achieve better results.
Video classification exercise using UCF101 data for training an early-fusion and SlowFast architecture model, both using the PyTorch Lightning framework.
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.