Stewart Liesmann's repositories

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3D-Machine-Learning

A resource repository for 3D machine learning

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Physics-Informed-Neural-Networks-PyTorch

Implementation of physics informed neural networks with PyTorch

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awesome-llms-fine-tuning

Explore a comprehensive collection of resources, tutorials, papers, tools, and best practices for fine-tuning Large Language Models (LLMs). Perfect for ML practitioners and researchers!

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Contrib

contribution works with PaddlePaddle from the third party developers

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Deep-Flow-Prediction

A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning

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Diffusion-based-Fluid-Super-resolution

PyTorch implementation of the diffusion-based method for CFD data super-resolution proposed in the paper "A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction".

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dive-into-llms

《动手学大模型Dive into LLMs》系列编程实践教程

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llama.cpp

LLM inference in C/C++

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transformer-physx

Transformers for modeling physical systems

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