Intel / AMD CPU Internals

Real time monaural source separation base on fully convolutional neural network operates on Time-frequency domain.

A uniform library wrapper for input from V4L2,Freenect,OpenNI,OpenNI2,DepthSense,Intel Realsense,OpenGL simulations and other types of video and depth input..

Stemmer for German

RawHash can accurately and efficiently map raw nanopore signals to reference genomes of varying sizes (e.g., from viral to a human genomes) in real-time without basecalling. Described by Firtina et al. (published at https://academic.oup.com/bioinformatics/article/39/Supplement_1/i297/7210440).

Manipulate run-length encoded image masks

3D and 2D Image processing algorithms in Python for tissues

Larix - a collection of image processing tools

Image segmentation with Explicit mesh

My operating system codes for summer semester 2017.

💎 Genome mining tool-- Identifies regions of atypicality

A Machine Learning project for georeferencing and digitizing maps of Havana from the RDOH. Label processing, CNN training, segmentation, vectorization, polygon matching.

Monolithic kernel written in C and x86 assembly.

Computer Vision small MATLAB exercises, ETH Zurich

Samples for Computer Vision, Machine Learning, Curve Fitting, Image Segmentation and Stitching, Clustering

A C library with Python bindings for efficient stratified random sampling from binary buffers or files.

Model of memory manager featuring memory segmentation and cache memory

The project aims to segment images into rover, background, and shadow. It starts with initial segmentation using SLIC and adaptive SLIC, followed by applying a Region Adjacency Graph (RAG). To address over-segmentation, Hierarchical Merging and Normalized Cuts are used.

This is a simulation program that demonstrates the principles of paging and segmentation memory management techniques used in modern operating systems.

OCR : School Project of my second year at EPITA