Taichi TAKAYAMA's repositories
Satellite_Image_classification
DL classification for patch of satellite images with TF and Keras
lightning-hydra-template
PyTorch Lightning + Hydra. A very general, feature-rich template for rapid and scalable ML experimentation with best practices. ⚡🔥⚡
38f2d3a5-038d-458c-993b-65f35b0ed1b7
Datta Able Django - Generated Seed Project | AppSeed
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
GeoVision_trial
This repository is dedicated for setting up tutorial page in UT
keras-yolo3
A Keras implementation of YOLOv3 (Tensorflow backend)
ml-design-patterns
Source code accompanying O'Reilly book: Machine Learning Design Patterns
ORB_SLAM2_OSX
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
Patch-classification-for-sat
Patch classification for satellite images
pykale
Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem
python-tdd
『テスト駆動開発』の日本語版ソースサンプルを、Pythonで記述しています。
pytorch-adapt
Domain adaptation made easy. Fully featured, modular, and customizable.
raster-vision
An open source framework for deep learning on satellite and aerial imagery.
Sat_Image_Classification
Satellite image classification with deep learning
satellite-image-deep-learning
Resources for performing deep learning on satellite imagery
segmentation_unet
Semantic segmentation using U-NET
Siamese-Networks-for-One-Shot-Learning
Implementation of Siamese Neural Networks for One-shot Image Recognition