Joe's Projects
ACM/ICPC Code Templates
A reinforcement learning based solver for combinatorial problems
Code-server container for Competitive Programming.
暗号通貨確定申告用 利益(損失)計算スクリプト
NumPy-like API accelerated with CUDA
Python package for graph neural networks in chemistry and biology
A collection of useful .gitignore templates
Solutions of team Girigiri
Joeの競プロ用ライブラリ。自分用すぎるので使用時は注意を
moved from https://sourceforge.net/p/min-caml/code/
Implementation of Lipschitz Margin Training for MNIST
Visualizer for neural network, deep learning, and machine learning models
バグっていないオセロをつくります
Open standard for machine learning interoperability
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
A hyperparameter optimization framework
Exact Treedepth Solver based on Minimal Separator Enumeration
Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]
Primer is a Jekyll theme for GitHub Pages
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Supplementary components to accelerate research and development in PyTorch
https://arxiv.org/pdf/1704.05516.pdf
Solution by team Girigiri (@xuzijian629, @knshnb, @oginging), contest page: https://challenges.reply.com/tamtamy/challenge/code-standard-externals2020/detail
Simplest Implementation of Neural Net without using Deep Learning Libraries