francoislegac Goto Github PK
Name: François LE GAC
Type: User
Bio: I am a double degree student (Applied Maths at Paris 7 and Business at EDHEC) currently learning machine learning and deep learning.
Location: Paris
Name: François LE GAC
Type: User
Bio: I am a double degree student (Applied Maths at Paris 7 and Business at EDHEC) currently learning machine learning and deep learning.
Location: Paris
algorithm_exercices_leet_code
Classification of MRI scan to define if an image contains a brain tumor or not.
We try to discriminate healthy scans from patients suffering from brain tumor. We then detect the tumors using U-Net, the semantic segmentation model .
Test parallele processing using ICM clusters
Data Wrangling exercises using pandas
This repository contains two projects of supervised classification. The first one is a credit scoring prediction problem for a bank. The second one is a customer satisfaction score prediction
Exercises from the course cs231n : visual recognition from Stanford. Implementation of FC NN and CNN (~from scratch using numpy) and using TensorFlow
Kaggle Competition : digit recognition (https://www.kaggle.com/c/digit-recognizer)
A quick training working with dummy log data
Implementation of EfficientNet model. Keras and TensorFlow Keras.
Creation of a web app using Flask
MM'21 Main-Track paper
An example of a practical session about Gaussian Mixture in python
GPT-2 User Interface based on HuggingFace's Pytorch Implementation
Take home test to join us :)
A presentation of the KNN algorithm coded from scratch. The goal was to reduce the complexity of the algorithm, compare the different distances and choose the best number of neighbours using cross validation
Practical sessions from the course Data Mining (PCA, Linear Reg, KMeans, Gaussian Mixture, Logistic Reg, Bagging, Boosting, RF, NN ...)
Implementation of the game 'Connect 4' (Puissance 4) and parallelisation of the MCTS algorithm in C#
Implementation of a FC Neural Network using numpy on CIFAR-10 ds
Process mining tutorial
technical test for quantmetry
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.