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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
Experiment sentiment analysis using regular classifiers and deep neural networks then compare the performance
Sentiment analysis web app with SageMaker
Solve six programming tasks using advanced data structures (linked list, queues, recursive functions...)
Use Trax Siamese deep Neural LSTM Network to predict pair of similar question (duplicates)
simple CNN achieving 90% accuracy on FashionMNIST dataset
Solve a series of simple computer science problems
Deep Neural network using CNN pre-trained model to visually diagnose between 3 types of skin lesions
Use pre-trained VGG19 feature extractor section to apply style tranfer to given content image
Use Key NLP techniques to classify news articles into categories: Bag_of_Words (tf-Idf), word embeddings and BERT language model
character-level text generation using simple LSTM model
Use Facebook Prophet model to forecast Sales including seasonality patterns
Explore various classifier to predict which employee is likely to quit
Categorize documents per topics inferred by LDA algorithm
simple tutorials to familiarize with TRAX library
Use Trax and Transformer architecture for generative summarizer deep learning model
Use Encoder Decoder architecture with LSTM for English->German translation network
Define and train a Recurrent Neural Network using attention to generate TV script of variable size
udacity project Nanodegree
Use embeddings to classify text based on categories defined with keywords
This module summarizes any text using extractive summarization, an unsupervised technique.
Usage of BERT models for text clustering techniques using sentence embeddings
full app using Dash and tweepy
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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.