Name: Seid Muhie Yimam
Type: User
Company: Universität Hamburg, Hub of Computing and Data Science
Bio: I am Seid, a Technical Lead at the Hub of Computing and Data Science (HCDS) and a Research Associate at LT Group, Universität Hamburg, Germany.
Twitter: seyyaw
Location: Germany
Blog: https://seyyaw.github.io/
Seid Muhie Yimam's Projects
A collection of 700+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML)
Automatically exported from code.google.com/p/adjectivalscales
The personal website/portfolio template by Hashir Shoaib. Built using React and Bootstrap.
Automatically exported from code.google.com/p/amharicnewsclassification
Automatically exported from code.google.com/p/amharicquestionanswering
Automatically exported from code.google.com/p/amharictweetextraction
Code samples for YouTube APIs, including the YouTube Data API, YouTube Analytics API, and YouTube Live Streaming API. The repo contains language-specific directories that contain the samples.
Automatically exported from code.google.com/p/berkeleylm
Accompanying code for the Medium article
Complete open source web conferencing system.
brat rapid annotation tool (brat) - for all your textual annotation needs
Build a Data Science Web App with Streamlit and Python
Machine learning components for Apache UIMA
Wicketstuff-core projects are bundled user contributions for use with Apache Wicket. They are released in step with Wicket releases to make them easy to use.
Deeplearning4j, ND4J, DataVec and more - deep learning & linear algebra for Java/Scala with GPUs + Spark - From Skymind
Efficient Sequence Labeling
This is a started/demo code for Zero-Shot-Learning via implementation of Embarrassingly simple ZSL (ICML 2015)
Notebooks to share
a simple Python library for EUR-Lex
Example Python package to demonstrate how to publish packages on PyPI
Automatically exported from code.google.com/p/exhibit2rdf
Automatically exported from code.google.com/p/exhibit2rdf2
Automatically exported from code.google.com/p/facebookcomentextractor
FFilter - tool for screening open data for private/sensitive information before publication
A very simple framework for state-of-the-art Natural Language Processing (NLP)
https://youtu.be/wDWoD1AaLu8
Simple transformer implementation from scratch in pytorch.