Diallo Boubacar (Boubacar-Diallo)

Boubacar-Diallo

Geek Repo

Company:http://www.xlim.fr/recherche/pole-mathematiques-informatique-image/synthese-analyse-dimages

Location:21, rue Jean Richard Bloch 86000 Poitiers France

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Diallo Boubacar's repositories

bdd-data

Scripts to use BDD Dataset

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Bios8366

Advanced Statistical Computing at Vanderbilt University's Department of Biostatistics

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caesar-cipher

Program implemented using Python for ciphering - encryption or decryption of a raw text file.

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conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

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cs294-131-f17

Web site for the Fall 2017 offering of CS 294-131 (Special Topics in Deep Learning).

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Data-Mining-Python

Sheng's python codes for data manipulation and data mining

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deeplearning-papernotes

Summaries and notes on Deep Learning research papers

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Machine-learning

Sheng's machine learning codes

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TensorFlow-Tutorials

TensorFlow Tutorials with YouTube Videos

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face_recognition

The world's simplest facial recognition api for Python and the command line

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free-programming-books

:books: Freely available programming books

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ImageSeg-KMeans

đź’  Image Segmentation using K-Means

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iot

The Internet of Things

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k-means.py

Python implementation of Lloyd's k-means clustering algorithm for image segmentation

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k-meanz

k-means clustering of image pixels

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kmeans-image

Kmeans cluster analysis of images in Python

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lectures-labs

Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay

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ml-sklearn

Tutorials on Machine Learning with Scikit-Learn

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self-driving-car

Udacity Self-Driving Car Engineer Nanodegree projects.

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Skin-cancer-image-classification

Skin cancer classification using Inceptionv3

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speedtrack

Python + OpenCV tool to count cars on the road in front of my house.

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stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

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TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

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tutorials

Tutorial slides for the low-cost LoRa IoT platform

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vehicle-detection

Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).

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Visual

Uses speech-to-text, natural language processing and the internet to generate visuals for non-visual media (podcasts, music, etc.).

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