LaurentVeyssier
Engineer, Finance and Controlling professional, Passionate about AI, deep learning, NLP and computer vision.
Paris, France
LaurentVeyssier's Stars
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
google-research/bert
TensorFlow code and pre-trained models for BERT
gto76/python-cheatsheet
Comprehensive Python Cheatsheet
yunjey/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
flairNLP/flair
A very simple framework for state-of-the-art Natural Language Processing (NLP)
dair-ai/ML-Papers-of-the-Week
🔥Highlighting the top ML papers every week.
amueller/introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
tensorflow/nmt
TensorFlow Neural Machine Translation Tutorial
Azure/azure-sdk-for-python
This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.
sgrvinod/a-PyTorch-Tutorial-to-Image-Captioning
Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning
wkentaro/pytorch-fcn
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
zijundeng/pytorch-semantic-segmentation
PyTorch for Semantic Segmentation
ProsusAI/finBERT
Financial Sentiment Analysis with BERT
nabsabraham/focal-tversky-unet
This repo contains the code for our paper "A novel focal Tversky loss function and improved Attention U-Net for lesion segmentation" accepted at IEEE ISBI 2019.
rojagtap/transformer-abstractive-summarization
Abstractive Text Summarization using Transformer
virafpatrawala/COCO-Semantic-Segmentation
A COCO image and masks generator tutorial for semantic segmentation purposes.
kenshiro-o/CarND-Advanced-Lane-Lines
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
affromero/FCN
PyTorch Implementation of Fully Convolutional Networks, for VGG and ResNet backbones.
Carlossn/Py-NLP-applied-to-Event-Driven-Investing-Profit-Warning-Prediction
Applying NLP (Natural Language Processing) techniques to predict profit warnings using conference call transcripts
LaurentVeyssier/Skin-Cancer-Classifier-Dermatologist-AI
Deep Neural network using CNN pre-trained model to visually diagnose between 3 types of skin lesions
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
bhaveshwadhwani/NYC-Taxi-demand-prediction
A Machine Learning Case Study to predict the Demand of Yellow Taxi in New York City at given location and at a given time interval.
AdiNar1106/Data-Science
Data Science Portfolio containing projects and datasets.
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/Sentiment-Analysis-webApp-with-SageMaker
Sentiment analysis web app with SageMaker
vkous/Projet4-Openclassrooms
"Anticipez les besoins en consommation électrique de bâtiments"