hkrsnd

Python and TensorFlow implementation of the paper "Learning Explanatory Rules from Noisy Data." Evans Richard and Edward Grefenstette. Journal of Artificial Intelligence Research 61 (2018): 1-64.

Language:Jupyter Notebook000

folpy

An implementation of first-order logic in Python.

Language:PythonMIT020

folrs

First-order Logic in Rust

MIT010

HandMotion

Language:C++020

hikarushindo.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

Language:JavaScriptMIT010

LOA

Logical Optimal Action (LOA), a novel RL with Logical Neural Network (LNN) on text-based games

Language:PythonMIT000

neural-astar

Language:Jupyter NotebookNOASSERTION000

NLIL

Neural Logic Inductive Learning

Language:PythonMIT000

notes

020

online-cv

A minimal Jekyll Theme to host your resume (CV)

Language:CSSMIT010

photorealistic-blocksworld

Dataset generator for the realistic blocksworld environment

Language:PythonApache-2.0000

Popper

Popper is an inductive logic programming (ILP) system.

Language:PythonMIT000

pytorch_scatter

PyTorch Extension Library of Optimized Scatter Operations

Language:PythonMIT000

reasonable-embeddings

A novel approach to learning concept embeddings and approximate reasoning in ALC knowledge bases with deep neural networks

Language:Jupyter Notebook000

symnet

Language:Python000

tensorflow

An Open Source Machine Learning Framework for Everyone

Language:C++Apache-2.0020

TensorLog

Language:PythonApache-2.0020

Waka

Language:Scala020

yolov5

YOLOv5 in PyTorch > ONNX > CoreML > TFLite

Language:PythonGPL-3.0010

YoutubeDNN

Impementation paper "Deep Neural Networks for YouTube Recommendations"

Language:Python010