Yongtuo Liu (yongtuoliu)

yongtuoliu

Geek Repo

Company:University of Amsterdam

Location:Amsterdam, Netherlands

Home Page:https://yongtuoliu.github.io/

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Yongtuo Liu's repositories

Crowd-Counting-via-Cross-stage-Refinement-Networks

Official code for Crowd Counting via Cross-stage Refinement Networks. TIP 2020

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Graph-Switching-Dynamical-Systems

Official code of the paper "Graph Switching Dynamical Systems" (ICML 2023)

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Agent-Attention

Official repository of Agent Attention

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Amortized-Equation-Discovery-in-Hybrid-Dynamical-Systems

Official code of Amortized Equation Discovery in Hybrid Dynamical Systems in ICML 2024

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BISCUIT

Official code of the paper "BISCUIT: Causal Representation Learning from Binary Interactions" (UAI 2023)

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cs231n.github.io

Public facing notes page

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fourier_neural_operator

Use Fourier transform to learn operators in differential equations.

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hackerrank-algo-implementation

This are the solutions to ALL "implementation" problems in the "algorithms" category hackerrank.com

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live2d-widget

Live2D widget for web platform

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LovelyPlots

Matplotlib style sheets to nicely format figures for scientific papers, thesis and presentations while keeping them fully editable in Adobe Illustrator.

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PRM

Weakly Supervised Instance Segmentation using Class Peak Response, in CVPR 2018 (Spotlight)

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uvadlc_notebooks

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2021

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yongtuoliu.github

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

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llama3-from-scratch

llama3 implementation one matrix multiplication at a time

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llm4regression

Examining how large language models (LLMs) perform across various synthetic regression tasks when given (input, output) examples in their context, without any parameter update

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mamba

Mamba SSM architecture

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Megatron-LM

Ongoing research training transformer models at scale

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Time-LLM

[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

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