sanjeeku Goto Github PK
Type: User
Type: User
Cython implementation of jenks breaks
A dialogue bot for information access
Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE
A Keras model that addresses the Quora Question Pairs dyadic prediction task.
Simple Keras model that tackles the Stanford Natural Language Inference (SNLI) corpus using summation and/or recurrent neural networks
General code to convert a trained keras model into an inference tensorflow model
Python 3 package to generate the most important key-phrase (or key-words) from a document
Code for generating key phrase from training corpus and finding similarity with testing corpus
LA-PDFText has been developed by members of the Biomedical Knowledge Engineering group @ the Information Sciences Institute. It is intended for use both scientists and NLP engineers interested in getting access to text within specific sections of research articles. The system is open-source and provides a simple baseline function for extracting text from primary research articles using rules that developers can customize. This means that the system works quite well for most applications (and might occasionally make mistakes and extract the wrong text), but it is always possible to 'hack' your own rules and improve performance.
Systems to drive the development of rule files for LA-PDFText
High-level build project for all LAPDF-Text submodules
Learning to Learn in TensorFlow
Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM)
Log-based Problem Identification (FSE 2018 accepted paper)
Learning to Log: A framework for determining optimal logging points
Dataset collected in our ASE paper (Characterizing the Natural Language Descriptions in Software Logging Statements)
A collection of system log datasets for massive log analysis
A log analysis toolkit for automated anomaly detection
A toolkit for automated log parsing
LSTM language model with CNN over characters
End-To-End Memory Networks for Question Answering on Tables
"End-To-End Memory Networks" in Tensorflow
Tools for iterative knowledge base development with DeepDive
Models built with TensorFlow
Contains approaches introduced in the MovieQA benchmark dataset paper
A Multi-Sense Word2Vec Implement
Modularizing Unsupervised Sense Embedding
An open-source tool for sequence learning in NLP built on 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.