yoshitomo-matsubara Goto Github PK

aclrollingreview

ACL Rolling Review website

allennlp

An open-source NLP research library, built on PyTorch.

boto-examples

bottlefit-split_computing

[IEEE WoWMoM 2022] "BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing"

dslib

Data science library for private use

guess-blind-entities

[JCDL WOSP 2020] "Citations Beyond Self Citations: Identifying Authors, Affiliations, and Nationalities in Scientific Papers"

hadoop-example

Run example codes on your computer to understand how Hadoop works

head-network-distillation

[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"

hnd-ghnd-object-detectors

[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"

kdkit

libsvm-analyzer

Private project for further analysis of output from libsvm

mastermind-ai

Mastermind AI project

myutils

My python utils package for private use

nlp-oss

Democratizing NLP!

playground

a repository for learning purposes

re3qa

Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension

roi-selector

My private Maven project for GUI-based program to visually select region of interest (ROI) in training samples for OpenCV 2.x.

sc2-benchmark

[TMLR] "SC2 Benchmark: Supervised Compression for Split Computing"

section-categorization

Automated Section Categorization in Scientific Papers

spark-example

Run example codes on your computer to understand how Spark works

split-beam

[ICDCS 2023] SplitBeam: Effective and Efficient Beamforming in Wi-Fi Networks Through Split Computing

srbench

A living benchmark framework for symbolic regression

supervised-compression

[WACV 2022] "Supervised Compression for Resource-Constrained Edge Computing Systems"

torchdistill

A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

uci-cs273a-project

Basic Support for Final Projects in UCI CS 273A: Machine Learning

uci-statnlp

Code for the StatNLP course homework.

vision

Datasets, Transforms and Models specific to Computer Vision

yoshitomo-matsubara.github.io