François LE GAC's repositories
dummy_process_mining
A quick training working with dummy log data
tuto_pandas_json_normalize
Tutorial of the various uses of the pandas function : json_normalize()
process_mining_101
Process mining tutorial
cluster-icm
Test parallele processing using ICM clusters
deep_learning
Exercises from the course cs231n : visual recognition from Stanford. Implementation of FC NN and CNN (~from scratch using numpy) and using TensorFlow
FoodSeg103-Benchmark-v1
MM'21 Main-Track paper
flaskapp_tuto
Creation of a web app using Flask
kanedama
Take home test to join us :)
gpt-2xy
GPT-2 User Interface based on HuggingFace's Pytorch Implementation
brain_tumor_classification_segmentation
We try to discriminate healthy scans from patients suffering from brain tumor. We then detect the tumors using U-Net, the semantic segmentation model .
data_wrangling
Data Wrangling exercises using pandas
algorithms
algorithm_exercices_leet_code
brain_tumor_classif
Classification of MRI scan to define if an image contains a brain tumor or not.
KNN_project_M1
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
svm_functional_data
Use of SVM for functional data : spectrometric samples of octane. Based on the following paper : https://hal.archives-ouvertes.fr/hal-00144141/document
datascience_projects
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
efficientnet
Implementation of EfficientNet model. Keras and TensorFlow Keras.
neural_network_project
Implementation of a FC Neural Network using numpy on CIFAR-10 ds