Kentaro Yoshioka's Projects
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Deep learning from zero
DNNアクセラレータに関し情報まとめ
Lets do anomaly detection with keras!
Enjoy reading with your favorite style.
EE272 Homework 1
fork of effdet
:neckbeard:Unofficial implementation of EfficientDet
A PyTorch implementation of EfficientNet
https://iskrlab.github.io/elec-circuit-docs/
audio classification by pytorch.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking
A faster pytorch implementation of faster r-cnn
Pytorch Pretrained Resnet18, 34, 50 backbone of faster-rcnn
:collision:Faster R-CNN from scratch written with Keras
studying gans
laTex source of the paper: "Time-Based Current Source: A Highly Digital Robust Current Generator for Switched Capacitor Circuits"
study kaggle book :)
Solution of team tara: Public 7th, Private 13th (The renewed pipeline scores 8th place)
1st place solution for the Kaggle PANDA Challenge
Global Wheat Detection Codes. Private 80th silver.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
about me
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes