Nakano Shuhei's repositories
atcoder_practice
AtCoder practice repository
C-Plus-Plus
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
Carrier-Owl
arxiv--> DeepL --> Slack
chariot
Deliver the ready-to-train data to your NLP model.
docker-python
Kaggle Python docker image
gokart
A wrapper of the data pipeline library "luigi"
GraphSTONE
An implementation of "Graph Structural-topic Neural Network"
hops
Code and Data for HOPS: Probabilistic Subtree Mining for Small and Large Graphs
kaggle-trends-assessment-prediction
20th place solution in "TReNDS Neuroimaging"
Metric-Learning-via-Penalized-Optimization
Codes for Metric Learning via Penalized Optimization
ml-engineer-roadmap
WIP: Roadmap to becoming a machine learning engineer in 2020
ML-YouTube-Courses
A repository to index and organize the latest machine learning courses found on YouTube.
multiml
A prototype framework for developing multi-step machine learnings.
nanay-home
The personal website/portfolio template by Hashir Shoaib. Built using React and Bootstrap.
powerful-benchmarker
A library for ML benchmarking. It's powerful.
python-vimrc
VIM Configuration for Python / Cython / C Development
pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
redash-hands-on
Redash study materials for beginners 📊
ReVIEW-Template
TechBoosterで利用しているRe:VIEWのテンプレート（B5/A5/電子書籍）を公開しています
Survey_of_Deep_Metric_Learning
A comprehensive survey of deep metric learning and related works
xfeat
Flexible Feature Engineering & Exploration Library using GPUs and Optuna.