Yuquan Wang (yuq-1s)

yuq-1s

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Company:Tsinghua University

Location:Beijing

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Yuquan Wang's starred repositories

tranX

A general-purpose neural semantic parser for mapping natural language queries into machine executable code

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naacl18tutorial

NAACL 2018 Tutorial: Modelling Natural Language, Programs, and their Intersection

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baum-welch

An implementation of the Baum-Welch algorithm for Matlab

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simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

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gtos

Code for AAAI2020 paper "Graph Transformer for Graph-to-Sequence Learning"

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stog

AMR Parsing as Sequence-to-Graph Transduction

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Research

novel deep learning research works with PaddlePaddle

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pyro

Deep universal probabilistic programming with Python and PyTorch

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BaiduNetdiskPlugin-macOS

For macOS.百度网盘 破解SVIP、下载速度限制~

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TinyGoogle

A search web app built by Flask and Google CSE

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cln2inv

Open source release from our ICLR 2020 paper, CLN2INV: Learning Loop Invariants with Continuous Logic Networks.

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ludwig

Low-code framework for building custom LLMs, neural networks, and other AI models

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coms4995-finalproj

coms4995 Final Project Poker AI

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Hanabi_SPARTA

Research code implementing the search AI agent for Hanabi, as well as a web server so people can play against it

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AIWolfServer

Server Applications for aiwolf.org

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awesome-causality-algorithms

An index of algorithms for learning causality with data

License:MITStargazers:2876Issues:0Issues:0

CompGCN

ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks

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rezero

Official PyTorch Repo for "ReZero is All You Need: Fast Convergence at Large Depth"

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joeynmt

Minimalist NMT for educational purposes

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weighted_lstar

implementation for "learning weighted deterministic automata from queries and counterexamples", neurips 2019

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GANLatentDiscovery

The authors official implementation of Unsupervised Discovery of Interpretable Directions in the GAN Latent Space

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futhark

:boom::computer::boom: A data-parallel functional programming language

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dfa-sat

Learning DFAs from examples using SAT

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Compositional_Deep_Learning

Deep learning via category theory and functional programming

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milewski-ctfp-pdf

Bartosz Milewski's 'Category Theory for Programmers' unofficial PDF and LaTeX source

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tikzcd-editor

A simple visual editor for creating commutative diagrams.

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ripser.py

A Lean Persistent Homology Library for Python

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neural-tangents

Fast and Easy Infinite Neural Networks in Python

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