Name: spacemanidol
Type: User
Company: Neural Magic
Bio: CS PHD at UIUC working on IE, IR, and NLP. Researcher at Neural magic working on efficient NLP. Former PM Bing.
Twitter: spacemanidol
Location: Urbana, Illinois
Blog: https://spacemanidol.github.io/
spacemanidol's Projects
Transfer Learning
Labs for AFIRM 2019
Repo for Lab and Lectures for Deep Learning in Search from AFIRM 2020
Group A for LING 575: Analyzing Neural Language Models [Win '20]
Anserini is a Lucene toolkit for reproducible information retrieval research
The Azure Artifacts Credential Provider enables dotnet, NuGet.exe, and MSBuild to interactively acquire credentials for Azure Artifacts feeds.
a
Introduction to Computational Linguistics
LING 550: Introduction to Linguistic Phonetics aka LING 550: Introduction to Linguistic Phonetics
Homeworks and Finals for 566. Note I didn't do too well so use at your own risk
LING 570: Shallow Processing Techniques for Natural Language Processing aka https://www.compling.uw.edu/academic-experience/courses/descriptions/#570
LING 571: Deep Processing Techniques for Natural Language Processing aka https://www.compling.uw.edu/academic-experience/courses/descriptions/#571
LING 572: Advanced Statistical Methods in Natural Language Processing aka https://www.compling.uw.edu/academic-experience/courses/descriptions/#572
Seminar in Computational Linguistics focused on text representations taught by Dr. Yan Song
Seminar in Computational Linguistics taught by Prof. Shane Steinert-Threlkeld
get your augmentation on.
Everything revolving my work/experience in UIUC's CS510 Advanced Information Retrieval Spring 2021
Everything related to UIUC's CS512 Advanced Data Mining Taken Spring 20201
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Scripts to train a bidirectional LSTM with knowledge distillation from BERT
Dense Passage Retriever - is a set of tools and models for open domain Q&A task.
Website and Repo for TREC Product Search
Experiments in Pruning using Game Theoretic Approaches
An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.