Name: Masahiro Sakai
Type: User
Company: Preferred Networks, Inc. (@pfnet)
Bio: Computer science researcher.
Interests: Functional Programming, SAT/SMT Solvers, Machine Learning, Logic, Category Theory, Mathematical Optimization.
Location: Kawasaki, Japan
Blog: https://twitter.com/masahiro_sakai
Masahiro Sakai's Projects
Scripts and instructions for using Travis-CI with multiple GHC configurations
Parallel t-SNE implementation with Python and Torch wrappers.
Optional static typing for Python
Visualizer for neural network, deep learning and machine learning models
NeuroCore: Guiding CDCL with Unsat-Core Predictions
NeuroSAT: Learning a SAT Solver from Single-Bit Supervision
Submission to Kaggle NIPS'17 competition on adversarial examples (non-targeted adversarial attack track)
NN Optimization IR
Various iterative algorithms for optimization of nonlinear functions.
Several Haskell packages for numerical optimizations.
Open Neural Network Exchange
Add-on package for ONNX format support in Chainer
Tutorials for using ONNX
OpenAPI Generator allows generation of API client libraries (SDK generation), server stubs, documentation and configuration automatically given an OpenAPI Spec (v2, v3)
Haskell high-level wrapper for OpenCL
Real-time Web Dashboard for Optuna.
Alloy is a language for describing structures and a tool for exploring them. It has been used in a wide range of applications from finding holes in security mechanisms to designing telephone switching networks. This repository contains the code for the tool.
A simple command line tool and library to auto generate API documentation for Python libraries.
IO library to access various filesystems with unified API
PLANET: a Piece-wise LineAr feed-forward NEural network verification Tool
Parallel algorithm for closed itemsetmining
Automatically exported from code.google.com/p/plcscan
A ML-like programming language with type-based probabilistic behavior specification, developed as part of PFN summer internship 2018.
Python dependency management and packaging made easy.
Personal mirror of http://www.math.kobe-u.ac.jp/~kodama/tips-RubyPoly.html