Stewart Liesmann's repositories
3D-Machine-Learning
A resource repository for 3D machine learning
Physics-Informed-Neural-Networks-PyTorch
Implementation of physics informed neural networks with PyTorch
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!
Contrib
contribution works with PaddlePaddle from the third party developers
Deep-Flow-Prediction
A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning
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".
dive-into-llms
《动手学大模型Dive into LLMs》系列编程实践教程
llama.cpp
LLM inference in C/C++
transformer-physx
Transformers for modeling physical systems