zxsted's starred repositories

bi

Bi: Symbolic system based on binary vector architecture

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UDepLambda

A framework to convert Universal Dependencies to Logical Forms

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awesome-AR

A curated list of awesome AR (Augmented Reality) resources

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r2sql

:hot_pepper: R²SQL: "Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing." (AAAI 2021)

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SPARQA

SPARQA: Skeleton-based Semantic Parsing for Complex Questions over Knowledge Bases (AAAI 2020)

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TabularSemanticParsing

Translating natural language questions to a structured query language

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toyccg

toy ccg parser

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taggerflow

Training code for LSTM CCG Parsing

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ccg2lambda

Provide Semantic Parsing solutions and Natural Language Inferences for multiple languages following the idea of the syntax-semantics interface.

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acl2018-semantic-parsing-tutorial

Materials from the ACL 2018 tutorial on neural semantic parsing

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TabularSemanticParsing

Translating natural language questions to a structured query language

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ml-system-design-pattern

System design patterns for machine learning

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animal-ai

Animal-AI 3

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AI4Animation

Bringing Characters to Life with Computer Brains in Unity

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Reflection_Summary

算法理论基础知识应知应会

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keras-mmoe

A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)

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FirstOrderLogic

HCMUS's "Artificial Intelligence" - 2nd Project

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tianchi_nl2sql

追一科技首届中文NL2SQL挑战赛决赛第3名方案+代码

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logpy

Logic Programming in Python

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pytorch_neural_symbolic_machines

A PyTorch Implementation of Neural Symbolic Machines by Liang et al. (2018)

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pyactr

Python package for ACT-R cognitive models

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ai-game-python

Python code for << AI Techniques for Game Programming>> which is written by Mat Buckland

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logicamente

A first-order logic theorem prover with SLD resolution.

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MIT_6.034_2015

Here is my solution for labs in 6.034 which is artificial intelligence courese of MIT OCW (Don't copy :) 请勿抄袭,仅做技术交流参考)

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Logic

Forward chaining, Backward Chaining and Resolution in First-Order Logic

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expert-system-shell

This is a rule-based logic system that uses forward- and backward-chaining algorithms to do two things: 1.) learn new rules and variable values based on those previously learned by the system, and 2.) explain its reasoning back to the user.

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