luccauchon Goto Github PK
Name: Luc Cauchon
Type: User
Company: Hydro-Québec
Bio: Researcher at HQ
Name: Luc Cauchon
Type: User
Company: Hydro-Québec
Bio: Researcher at HQ
Tensorflow implementation of Adversarial Autoencoders
accessible AutoML for deep learning.
This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific weather and road conditions.
:metal: awesome-semantic-segmentation
A framework for data augmentation for 2D and 3D image classification and segmentation
Classification models trained on ImageNet. Keras.
Clone of COCO API - Dataset @ http://cocodataset.org/ - with changes to support Windows build and python3
Convolutional Neural Networks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Implementation of Fast-SCNN using Tensorflow 2.0
Fully Convolutional DenseNets for semantic segmentation.
A python multi-variate time series prediction library working with sklearn
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Deep Learning for humans
Keras implementation of RetinaNet object detection.
Code for 15th place in Kaggle Google AI Open Images - Object Detection Track
A Keras implementation of YOLOv3 (Tensorflow backend)
implementation of LinkNet in Keras
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
Code for ECCV2018 paper:Macro-Micro Adversarial Network for Human Parsing
Models and examples built with TensorFlow
Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge
Segmentation models with pretrained backbones. Keras.
SegNet including indices pooling for Semantic Segmentation with tensorflow and keras
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.