LaurentVeyssier
Follow
Stars
🔥Highlighting the top ML papers every week.
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://learn.microsoft.com/python/azure/ or our v…
A very simple framework for state-of-the-art Natural Language Processing (NLP)
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.
Data Science Portfolio containing projects and datasets.
"Anticipez les besoins en consommation électrique de bâtiments"
Financial Sentiment Analysis with BERT
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Notebooks and code for the book "Introduction to Machine Learning with Python"
TensorFlow code and pre-trained models for BERT
Applying NLP (Natural Language Processing) techniques to predict profit warnings using conference call transcripts
TensorFlow Neural Machine Translation Tutorial
Use Deep Learning model to diagnose 14 pathologies on Chest X-Ray and use GradCAM Model Interpretation Method
Deep Neural network using CNN pre-trained model to visually diagnose between 3 types of skin lesions
Building a neural network to classify 43 different types of German traffic sign
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
PyTorch Implementation of Fully Convolutional Networks, for VGG and ResNet backbones.
PyTorch for Semantic Segmentation
A COCO image and masks generator tutorial for semantic segmentation purposes.
Create a Lane Finding pipeline that finds lane lines on the road
Generate caption on images using CNN Encoder- LSTM Decoder structure
Captioning generated by a CNN encoder (ResNet 101) and a decoder using LTSM with attention
PyTorch Tutorial for Deep Learning Researchers
Abstractive Text Summarization using Transformer
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.
ResNet-50 used for object localization on sample images with heatmap
Sentiment analysis web app with SageMaker
Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning