tranhungnghiep Goto Github PK
Name: THN
Type: User
Company: National Institute of Informatics
Bio: ML Researcher @ NII, Tokyo, Japan
Location: Tokyo, Japan
Name: THN
Type: User
Company: National Institute of Informatics
Bio: ML Researcher @ NII, Tokyo, Japan
Location: Tokyo, Japan
Extensive acceptance rates and information of main AI conferences
Analyzing knowledge graph embedding methods, including TransE, DistMult, CP, SimplE, ComplEx, Quaternion
A curated list of awesome open problems and datasets calling for research using machine learning tools
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
A list-like type with better asymptotic performance and similar performance on small lists
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Citation Analysis on the Microsoft Academic Graph Dataset
Stanford CoreNLP: A Java suite of core NLP tools.
Stanford Core NLP API usage examples
COVID-19 Inspection
Computer science scholarly data crawler
Source code for the "Practical Data Science in Python" tutorial
Hands-on tutorial on deep learning with a special focus on Natural Language Processing (NLP)
Library for fast text representation and classification.
Topic Modelling for Humans
Jekyll theme: Hyde sidebar + Pixyll clean style.
Example coding interview problems found through online resources, Cracking the Code book, mentors and colleagues. An additional robust resource for example interview questions and solutions is at https://github.com/mmihaljevic/algortihms_challenges.
A collection of useful utilities for machine learning and text mining in Java
A Scholarly Knowledge Graph Benchmark Dataset
High-performance implementations of W2V, DistMult, CP, SimplE, ComplEx, RotatE, Quaternion, and MEI. Paper: Multi-Partition Embedding Interaction with Block Term Format for Knowledge Graph Completion (ECAI 2020).
Including W2V, DistMult, CP, SimplE, ComplEx, RotatE, Quaternion, MEI, MEIM. Paper: MEIM: Multi-partition Embedding Interaction Beyond Block Term Format for Efficient and Expressive Link Prediction (IJCAI 2022).
Code accompanying the book "Machine Learning for Hackers"
Models built with TensorFlow
An Open-Source Package for Knowledge Embedding (KE)
Scientific Paper Recommender Systems.
Efficient Parallel Time-aware Topic Modeling on Multi-core CPU.
PhD thesis template for Sokendai students
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
scikit-learn: machine learning in Python
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.