shimafoolad Goto Github PK
Name: ShF
Type: User
Bio: Ph.D student in AI
Name: ShF
Type: User
Bio: Ph.D student in AI
Curated list of awesome papers for electronic health records(EHR) mining, machine learning, and deep learning.
The bAbI question-answering dataset ported into T2T.
TensorFlow code and pre-trained models for BERT
RNN example (step by step): Minimal character-level language model with a Vanilla Recurrent Neural Network
Convolutional 2D Knowledge Graph Embeddings resources
The Natural Language Decathlon: A Multitask Challenge for NLP
Implementations from the free course Deep Reinforcement Learning with Tensorflow
Code for the paper "Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning" http://arxiv.org/abs/1603.07954
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Dynamic Memory Networks (https://arxiv.org/abs/1603.01417) in Tensorflow
Dynamic Coattention Network Plus (DCN+) TensorFlow implementation. Question answering using Deep NLP.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)
Market share prediction using Linear Regression and Random Forest Regression
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
Programming Assignments and Lectures for Stanford's CS 224: Natural Language Processing with Deep Learning
Collection of tools, utilities, datasets and approaches towards realising natural language interfaces for the Web of Data.
🤖 Neural SPARQL Machines translate natural language into SPARQL queries.
Machine comprehension using Bidirectional attention flow implemented on Keras with tensorflow backend
Python implementation of Socher et al, EMNLP2013,(Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank)
Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks
Demo notebook to show how to work with stanford corenlp openie(Open Information Extraction) annotator from python code
TensorFlow Reinforcement Learning
Single-document unsupervised keyword extraction
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.