LaurentVeyssier
Engineer, Finance and Controlling professional, Passionate about AI, deep learning, NLP and computer vision.
Paris, France
Pinned Repositories
Chest-X-Ray-Medical-Diagnosis-with-Deep-Learning
Use Deep Learning model to diagnose 14 pathologies on Chest X-Ray and use GradCAM Model Interpretation Method
Credit-Card-fraud-detection-using-Machine-Learning
Detect Fraudulent Credit Card transactions using different Machine Learning models and compare performances
Finding-Lane-Lines-on-the-Road
Create a Lane Finding pipeline that finds lane lines on the road
Image-Captioning-Project-with-full-Encoder-Decoder-model
Generate caption on images using CNN Encoder- LSTM Decoder structure
Minimize-Energy-consumption-with-Deep-Learning-model
Use Deep Q-Learning model to optimize energy consumption of a data center
Object-localization-using-Global-Average-Pooling-GAP
ResNet-50 used for object localization on sample images with heatmap
Pricing-optimization-Model
Optimize revenues through pricing algorithm in python - Demand with uniform distribution
Route-planner-algorithm
Find the shortest route using A* algorithm and graphs (Route Planner application)
Skin-Cancer-Classifier-Dermatologist-AI
Deep Neural network using CNN pre-trained model to visually diagnose between 3 types of skin lesions
Unsupervised-Text-Summarizer-using-Extractive-method
This module summarizes any text using extractive summarization, an unsupervised technique.
LaurentVeyssier's Repositories
LaurentVeyssier/Chest-X-Ray-Medical-Diagnosis-with-Deep-Learning
Use Deep Learning model to diagnose 14 pathologies on Chest X-Ray and use GradCAM Model Interpretation Method
LaurentVeyssier/Credit-Card-fraud-detection-using-Machine-Learning
Detect Fraudulent Credit Card transactions using different Machine Learning models and compare performances
LaurentVeyssier/Pricing-optimization-Model
Optimize revenues through pricing algorithm in python - Demand with uniform distribution
LaurentVeyssier/Minimize-Energy-consumption-with-Deep-Learning-model
Use Deep Q-Learning model to optimize energy consumption of a data center
LaurentVeyssier/Abstractive-Text-Summarization-model-in-Keras
Abstractive Text Summarization using Transformer model
LaurentVeyssier/Bird_Classifier_Tensorflow_Colab_Notebook
Bird Classifier developped in tensorflow using pre-trained model from Tensorflow Hub and running on Google Colab
LaurentVeyssier/Finding-Lane-Lines-on-the-Road
Create a Lane Finding pipeline that finds lane lines on the road
LaurentVeyssier/Image-Captioning-Project-with-full-Encoder-Decoder-model
Generate caption on images using CNN Encoder- LSTM Decoder structure
LaurentVeyssier/Object-localization-using-Global-Average-Pooling-GAP
ResNet-50 used for object localization on sample images with heatmap
LaurentVeyssier/Abstractive-Summarization-using-colab-and-T5-model
Text summarization using Google T5 (Text to Text Transfer Transformer) engine
LaurentVeyssier/Landmark-detection-and-robot-tracking
Apply Simultaneous Localization And Mapping (SLAM) to derive landmark positions and robot localization from measures made by the robot
LaurentVeyssier/Manipulate-COCO-dataset
Explore COCO dataset and manipulate elements in the context of semantic segmentation
LaurentVeyssier/Automatic-image-Captioning
Captioning generated by a CNN encoder (ResNet 101) and a decoder using LTSM with attention
LaurentVeyssier/CarND-Traffic-Sign-Classifier
Building a neural network to classify 43 different types of German traffic sign
LaurentVeyssier/Detecting-COVID-19-with-chest-X-Ray-using-PyTorch
Deep learning model to classify XRay Scan images between 3 classes and detect COVID19
LaurentVeyssier/Minimizing-Churn-of-subscription-product-through-usage-analysis
Build a model predicting which customers are likely to cancel subscription by analysis of their usage and habbits
LaurentVeyssier/Semantic-Segmentation-with-Fully-Convolution-Network
Use deep learning model to produce a pixel-by-pixel classification of images and identify road for autonomous driving vehicles
LaurentVeyssier/Simple-CNN-classifier-for-FashionMNIST-in-Pytorch
simple CNN achieving 90% accuracy on FashionMNIST dataset
LaurentVeyssier/Unsupervised-Text-Summarizer-using-Extractive-method
This module summarizes any text using extractive summarization, an unsupervised technique.
LaurentVeyssier/App-Directing-customers-to-subscription
Design a predictive model identifying users likely to subcribe or not allowing to focus marketing ressources to increase conversion
LaurentVeyssier/Autonomous-driving-Car-detection
Implement YOLO model to detect objects from images in relation with Autonomous Driving
LaurentVeyssier/Bike-sharing-Usage-Prediction-with-Neural-Network
Use a neural network to predict daily usage and capacity requirement for a bike sharing business
LaurentVeyssier/Coursera-GDrive
This repository is helpful for downloading all enrolled courses in Coursera into Google Drive via Google Colab
LaurentVeyssier/Dog-Identification-App-using-CNN
App taking image as an input and using CNN network to identify dog breed
LaurentVeyssier/Image-Alignment-problems
solve two image alignment problems: channel processing and face alignment
LaurentVeyssier/Keypoints-face-detection
detection of 68 keypoints on face images using Deep CNN
LaurentVeyssier/Mobile-Apps-using-TensorFlow-Lite-and-Android-Studio
Implement two mobile apps on Android phones using Tensorflow Lite
LaurentVeyssier/Predicting-likelyhood-of-commercial-leads-to-complete-subscription-application-process-
Create model predicting whether applicant leads will complete and submit application process
LaurentVeyssier/Style-transfer-with-Deep-Neural-Network
Use pre-trained VGG19 feature extractor section to apply style tranfer to given content image
LaurentVeyssier/Text-generation-using-LSTM
character-level text generation using simple LSTM model