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Name: Laurent VEYSSIER
Type: User
Bio: Engineer, Finance and Controlling professional, Passionate about AI, deep learning, NLP and computer vision.
Location: Paris, France
Name: Laurent VEYSSIER
Type: User
Bio: Engineer, Finance and Controlling professional, Passionate about AI, deep learning, NLP and computer vision.
Location: Paris, France
Text summarization using Google T5 (Text to Text Transfer Transformer) engine
Abstractive Text Summarization using Transformer model
Resolve a set of problems using appropriate design and most efficient algorithms
Blogpost project for Udacity's Data Scientist Nanodegree
Design a predictive model identifying users likely to subcribe or not allowing to focus marketing ressources to increase conversion
Captioning generated by a CNN encoder (ResNet 101) and a decoder using LTSM with attention
Build end-to-end Deep Neural Network to translate speech to text (ASR model)
Implement YOLO model to detect objects from images in relation with Autonomous Driving
udacity project
Use pretrained BERT model for sentiment analysis
Use a neural network to predict daily usage and capacity requirement for a bike sharing business
Bird Classifier developped in tensorflow using pre-trained model from Tensorflow Hub and running on Google Colab
Project #2 of Udacity's ML DevOps engineer Nanodegree
Building a neural network to classify 43 different types of German traffic sign
This repo contains the notebooks and code for The Data Science Process lesson in Introduction to Data Science course
final project of UDACITY Adversarial Search module #4 - Artificial Intellignece Nanodegree
Diagnose and fix problems in a production deployed code.
Monitoring machine learning models in production using Evidently.
Use Deep Learning model to diagnose 14 pathologies on Chest X-Ray and use GradCAM Model Interpretation Method
Course Files for Complete Python 3 Bootcamp Course on Udemy
This repository is helpful for downloading all enrolled courses in Coursera into Google Drive via Google Colab
Decipher encrypted strings with various simple recurrent neural networks
Detect Fraudulent Credit Card transactions using different Machine Learning models and compare performances
Use unsupervised machine learning tools to segment credit card customers
Dash app pulling various financial-related information based on an input ticker code
data wrangling using csv files, pandasql and pandas methods and dates
Contains files related to content and project of DSND Term 2
Use ResNet50 deep learning model to predict defects in steel and visually localize the defect using Res-UNET model class
Deep learning model to classify XRay Scan images between 3 classes and detect COVID19
Use topic modeling and hotel reviews to determine most important criteria for hotel customers
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.