Muyang Li (lmxyy)

lmxyy

Geek Repo

Company:Massachusetts Institute of Technology

Location:Cambridge

Home Page:https://lmxyy.me/

Twitter:@lmxyy1999

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Muyang Li's repositories

sige

[NeurIPS 2022, T-PAMI 2023] Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models

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CS391-Assignment

CS391 of SJTU Computer Networking Assignment

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pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

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2s-AGCN-For-Daily-Living

2s-AGCN on Smarthome (dataset for daily living)

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clean-fid

PyTorch - FID calculation with proper image resizing and quantization steps

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6.5930_final_project

Final project for MIT 6.5930 Course

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content-debiased-fvd

[CVPR 2024] On the Content Bias in Fréchet Video Distance

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diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

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imaginaire

NVIDIA PyTorch GAN library with distributed and mixed precision support

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once-for-all

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

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OS-Kernel

An OS Kernel from scrach

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pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

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SDEdit

PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations

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SPADE

Semantic Image Synthesis with SPADE

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tacotron

A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)

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temporal-shift-module

[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding

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Tengine

Tengine is a lite, high performance, modular inference engine for embedded device

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torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

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torchprofile

A general and accurate MACs / FLOPs profiler for PyTorch models

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tsm-latency

Some scripts to test the latency of TSM

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tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators

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VBench

[CVPR2024 Highlight] VBench - We Evaluate Video Generation

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Voice_Converter_CycleGAN

Voice Converter Using CycleGAN and Non-Parallel Data

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WGEECN

Writing GNU Emacs Extensions 翻译

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