yoshitomo-matsubara Goto Github PK
Name: Yoshitomo Matsubara
Type: User
Company: @spiffy-ai
Bio: Founding Research Engineer at Spiffy AI, Ph.D. in Computer Science
Twitter: yoshitomo_cs
Location: Washington, United States
Name: Yoshitomo Matsubara
Type: User
Company: @spiffy-ai
Bio: Founding Research Engineer at Spiffy AI, Ph.D. in Computer Science
Twitter: yoshitomo_cs
Location: Washington, United States
ACL Rolling Review website
An open-source NLP research library, built on PyTorch.
[IEEE WoWMoM 2022] "BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing"
Data science library for private use
[JCDL WOSP 2020] "Citations Beyond Self Citations: Identifying Authors, Affiliations, and Nationalities in Scientific Papers"
Run example codes on your computer to understand how Hadoop works
[IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and [ACM MobiCom HotEdgeVideo 2019] "Distilled Split Deep Neural Networks for Edge-assisted Real-time Systems"
[ICPR 2020] "Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged Networks" and [ACM MobiCom EMDL 2020] "Split Computing for Complex Object Detectors: Challenges and Preliminary Results"
Private project for further analysis of output from libsvm
Mastermind AI project
My python utils package for private use
Democratizing NLP!
a repository for learning purposes
Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension
My private Maven project for GUI-based program to visually select region of interest (ROI) in training samples for OpenCV 2.x.
[TMLR] "SC2 Benchmark: Supervised Compression for Split Computing"
Automated Section Categorization in Scientific Papers
Run example codes on your computer to understand how Spark works
[ICDCS 2023] SplitBeam: Effective and Efficient Beamforming in Wi-Fi Networks Through Split Computing
A living benchmark framework for symbolic regression
[WACV 2022] "Supervised Compression for Resource-Constrained Edge Computing Systems"
A coding-free framework built on PyTorch for reproducible deep learning studies. ๐25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. ๐ Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
๐คTransformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
Basic Support for Final Projects in UCI CS 273A: Machine Learning
Code for the StatNLP course homework.
Datasets, Transforms and Models specific to Computer Vision
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ 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. ๐๐๐
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 โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.