Name: Diallo Boubacar
Type: User
Company: http://www.xlim.fr/recherche/pole-mathematiques-informatique-image/synthese-analyse-dimages
Bio: PhD Student at XLIM Laboratory @CNRS (Poitiers - France)
Subject: Image forensic: from physical model to Deep Learning
Location: 21, rue Jean Richard Bloch 86000 Poitiers France
Diallo Boubacar's Projects
Scripts to use BDD Dataset
Advanced Statistical Computing at Vanderbilt University's Department of Biostatistics
Program implemented using Python for ciphering - encryption or decryption of a raw text file.
A technical report on convolution arithmetic in the context of deep learning
Web site for the Fall 2017 offering of CS 294-131 (Special Topics in Deep Learning).
Sheng's python codes for data manipulation and data mining
Summaries and notes on Deep Learning research papers
The world's simplest facial recognition api for Python and the command line
:books: Freely available programming books
💠 Image Segmentation using K-Means
The Internet of Things
Python implementation of Lloyd's k-means clustering algorithm for image segmentation
k-means clustering of image pixels
Kmeans cluster analysis of images in Python
Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay
Sheng's machine learning codes
Tutorials on Machine Learning with Scikit-Learn
Udacity Self-Driving Car Engineer Nanodegree projects.
Skin cancer classification using Inceptionv3
Python + OpenCV tool to count cars on the road in front of my house.
VIP cheatsheets for Stanford's CS 229 Machine Learning
TensorFlow Tutorial and Examples for Beginners with Latest APIs
TensorFlow Tutorials with YouTube Videos
Tutorial slides for the low-cost LoRa IoT platform
Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).
Uses speech-to-text, natural language processing and the internet to generate visuals for non-visual media (podcasts, music, etc.).