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Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).
An optimizer that trains as fast as Adam and as good as SGD.
source code for the ECCV18 paper A Style-Aware Content Loss for Real-time HD Style Transfer
fast image augmentation library and easy to use wrapper around other libraries
Use unsupervised and supervised learning to predict stocks
Pytorch implementation of Animating Landscape
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Applied Computational Genomics Course at UU: Spring 2020
ASCII generator (image to text, image to image, video to video)
Image augmentation library in Python for machine learning.
This is a automated machine learning (AutoML) package based on Keras.
Google Brain AutoML
Here i will gather courses that i passed and think that they give good amount materials in short period of time with good clarification of each step.
A curated list of awesome mathematics resources
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
:surfer: A list of awesome resources I used to study Physics.
Sequential regulatory activity predictions with deep convolutional neural networks.
Convolutional neural network analysis for predicting DNA sequence activity.
Bayesian Data Analysis demos for Python
Toolbox for the analysis of smFISH images.
Image denoising using deep CNN with batch renormalization(Neural Networks,2020)
A simple, extensible library for developing AutoML systems
ISIC 2017: Skin Lesion Analysis Towards Melanoma Detection (Lesion Classification)
CapsLayer: An advanced library for capsule theory
A Tensorflow implementation of CapsNet(Capsules Net) apply on german traffic sign dataset
CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R
Generative Adversarial Network (GAN) that generates cat faces using Google's Quick, Draw! dataset.
Automated 3D cell detection and registration of whole-brain images
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.