OWENDUNG's Stars
hpcaitech/Open-Sora
Open-Sora: Democratizing Efficient Video Production for All
binary-husky/gpt_academic
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。
PKU-YuanGroup/Open-Sora-Plan
This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.
NVIDIA/AMGX
Distributed multigrid linear solver library on GPU
NVIDIA/torch-harmonics
Differentiable spherical harmonic transforms and spherical convolutions in PyTorch
microsoft/torchscale
Foundation Architecture for (M)LLMs
lammps/lammps
Public development project of the LAMMPS MD software package
trixi-framework/tutorial-2023-kassel
Companion repository for a tutorial on the Julia programming language and Trixi.jl, a Julia package for adaptive high-order numerical simulations of hyperbolic PDEs
togethercomputer/RedPajama-Data
The RedPajama-Data repository contains code for preparing large datasets for training large language models.
midoo2020/chatgpt_train_predicct_pdf
Here is a general outline of the steps you could take to preprocess data from PDF files and train a language model like GPT-3
luraess/parallel-gpu-workshop-JuliaCon21
Solving differential equations in parallel on GPUs - JuliaCon 2021 workshop
juncongmoo/pyllama
LLaMA: Open and Efficient Foundation Language Models
houkensjtu/taichi-fluid
A collection of CFD related resources for Taichi developers.
NVIDIA/transformer-ls
Official PyTorch Implementation of Long-Short Transformer (NeurIPS 2021).
tatsu-lab/stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
neuraloperator/neuraloperator
Learning in infinite dimension with neural operators.
trixi-framework/TrixiBottomTopography.jl
Approximating real world data for bottom topographies
SpeedyWeather/SpeedyWeather.jl
Play atmospheric modelling like it's LEGO.
pdearena/pdearena
csccm-iitd/WNO
DiffEqML/torchdyn
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
katiana22/TL-DeepONet
Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.
google-research/torchsde
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
patrick-kidger/torchcde
Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
rtqichen/torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
pmocz/nbody-julia
Vectorized N-body code (Julia)
PyFR/PyFR
PyFR
jerabaul29/Cylinder2DFlowControlDRL
code for performing active flow control of the 2D Karman street using Deep Reinforcement Learning
JuliaLang/julia
The Julia Programming Language
SciML/DifferentialEquations.jl
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.