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Organ segmentation demo at MICCAI19 Bayesian Deep Learning for Medical Imaging tutorial
Plant Disease Detection is one of the mind-boggling issues when we talk about using Technology in Agriculture. Although researches have been done to detect whether a plant is healthy or diseased using Deep Learning and with the help of Neural Network, new techniques are still being discovered. For Fewer Data Classical Machine Learning Models are s
Performing Leaf Image classification for Recognition of Plant Diseases using various types of CNN Architecture, For detection of Diseased Leaf and thus helping the increase in crop yield.
Evolutionary multi-objective optimization platform
Latex code for making neural networks diagrams
pMOEA/D Project
Probabilistic reasoning and statistical analysis in TensorFlow
Python code for "Machine learning: a probabilistic perspective"
PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.
95.16% on CIFAR10 with PyTorch
pytorch 包教不包会
PyTorch Introduction to Active Learning
PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST
Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Re-implement Kaiming He's deep residual networks in tensorflow. Can be trained with cifar10.
A Morphological Hessian Based Approach for Retinal Blood Vessels Segmentation and Denoising Using Region-Based Otsu Thresholding
Retinal vessel segmentation using U-NET, Res-UNET, Attention U-NET, and Residual Attention U-NET (RA-UNET)
Improving Adversarial Robustness for Few Shot Segmentation with Regularized Neural-ODEs
Skin lesion classification demo at MICCAI19 Bayesian Deep Learning for Medical Imaging tutorial
A crash course in six episodes for software developers who want to become machine learning practitioners.
Example to get uncertainty intervals from Deep Learning models
Uncertainty quantification using Bayesian neural networks in classification
Lists of resources useful for my PhD in computer vision
:heart:**科学技术大学计算机学院课程资源(https://mbinary.xyz/ustc-cs/)
PyTorch implementation of "Auto-Encoding Variational Bayes"
Retinal vessel segmentation toolkit based on pytorch
my blog
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.