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Program for the analysis and visualization of whole-slide images in digital pathology
A curated list of awesome resources related to capsule networks
A curated list of awesome work on causal inference, particularly in machine learning.
A curated list of awesome work on video generation and video representation learning, and related topics.
A curated list of awesome work on machine learning for mental health applications. Includes topics broadly captured by affective computing. Facial expressions, speech analysis, emotion prediction, depression, interactions, psychiatry etc. etc.
Library of contextual bandits algorithms
Python library for Multi-Armed Bandits
Code for my book on Multi-Armed Bandit Algorithms
Caffe: a fast open framework for deep learning.
Caffe models in TensorFlow
CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art
A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error = 0.34%.
A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules
A Capsule Implement with Pure Keras
Pytorch easy-to-follow Capsule Network tutorial
A Tensorflow(v1.4) implementation of Capsule Networks (Dynamic Routing Between Capsules , https://arxiv.org/abs/1710.09829)
A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
A Tensorflow implementation of Capsule Networks
This is the code for "Capsule Networks: An Improvement to Convolutional Networks" by Siraj Raval on Youtube
A tensorflow implementation of Hinton's [matrix capsules with EM routing](https://openreview.net/pdf?id=HJWLfGWRb)
The training set consisted of 25,000 images out of which 5,000 images were taken out as validation data. Separate test data folder consisted of 12,500 images for which the labels were predicted using trained model. My work includes preprocessing for model, Data augmentation to prevent overfitting, callbacks in keras to reduce learning rate timely, various CNN architecture trials with different layers and hyperparameters for best fit and learning curve wrt epochs. I gained a validation accuracy of 87.15 % without using any pretrained imagenet models . VGG-16 gave around 89 % as validation accuracy.
ccf2016 sougou final winner solution
一个可以自己进行训练的中文聊天机器人, 根据自己的语料训练出自己想要的聊天机器人,可以用于智能客服、在线问答、智能聊天等场景。目前包含seq2seq、seqGAN版本、tf2.0版本、pytorch版本。
Generate Chinese hip-pop lyrics using GAN
100+ Chinese Word Vectors 上百种预训练中文词向量
word2vec/glove/swivel binary file on chinese corpus
COCO API - Dataset @ http://cocodataset.org/
CoCoX: Generating Conceptual and Counterfactual Explanations via Fault-Lines
Conditional Sequence Generative Adversarial Network trained with policy gradient, Implementation in Tensorflow
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.