Ethan Wu (YichengDWu)

YichengDWu

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Company:University of Calgary

Location:Calgary, AB

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SciML

Ethan Wu's repositories

Sophon.jl

Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks

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MoYe.jl

Programming Gemm Kernels on NVIDIA GPUs with Tensor Cores in Julia

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FlashAttention.jl

Julia implementation of the Flash Attention algorithm

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NeuralGraphPDE.jl

Integrating Neural Ordinary Differential Equations, the Method of Lines, and Graph Neural Networks

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matmul.mojo

High Performance Matrix Multiplication in Pure Mojo 🔥

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yoho

A compiler written in Mojo 🔥 and generates RISC-V assembly

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tinyedm

Modular PyTorch (Lightning) implementation of Analyzing and Improving the Training Dynamics of Diffusion Models.

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generative-ai-for-beginners

12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

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random123

Splittable pseudorandom number generators

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ChatGPT-Next-Web

A well-designed cross-platform ChatGPT UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT 应用。

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Chi.jl

Neural Networks Strongly Accelerated on GPUs

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chibicc

A small C compiler

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cuda-samples

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

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DenoisingDiffusion.jl

A pure Julia implementation of denoising diffusion probabilistic models

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dyffusion

[NeurIPS 2023] A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting

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earth2mip

Earth-2 Model Intercomparison Project (MIP) is a python framework that enables climate researchers and scientists to explore and experiment with AI models for weather and climate.

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ell

A language model programming framework.

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GemmCUDA.jl

Gemm with Tensor Cores

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llm.c

LLM training in simple, raw C/CUDA

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Lux.jl

Explicitly Parameterized Neural Networks in Julia

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modulus

A PyTorch based deep-learning toolkit for developing DL models for physical systems

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mojo

The Mojo Programming Language

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simulai

A toolkit with data-driven pipelines for physics-informed machine learning.

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TaylorDiff.jl

Taylor-mode automatic differentiation for higher-order derivatives

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TensorContractions.jl

Native Tensor Contractions on GPU

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tinygrad

You like pytorch? You like micrograd? You love tinygrad! ❤️

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