haozhg Goto Github PK

awesome

:sunglasses: Curated list of awesome lists

awesome-dataviz

:chart_with_upwards_trend: A curated list of awesome data visualization libraries and resources.

awesome-diffusion-models

A collection of resources and papers on Diffusion Models

awesome-functional-python

colossalai

Making large AI models cheaper, faster and more accessible

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

dmdtools

A library of tools for computing variants of Dynamic Mode Decomposition

dolly

Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

hankquinlan.github.io

This is a demo GitHub Pages and Jekyll site. See README for more info.

intermediatepython

linux-command

Linux命令大全搜索工具，内容包含Linux命令手册、详解、学习、搜集。

lmd

Language Model Decomposition: Quantifying the Dependency and Correlation of Language Models

myreact

natural-questions-1

Natural Questions (NQ) contains real user questions issued to Google search, and answers found from Wikipedia by annotators. NQ is designed for the training and evaluation of automatic question answering systems.

nebullvm

Plug and play modules to optimize the performances of your AI systems 🚀

newtonrootfinder

Fall2016, APC524, HW3, Root finding and automated testing in python. Hao Zhang, MAE, Princeton University.

odmd

AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)

odmd-matlab

Matlab implementation of online and window dynamic mode decomposition algorithms

oml

AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control

plotpub

Publication quality plot in MATLAB.

prettyplotlib

Painlessly create beautiful matplotlib plots.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

resume

My LaTEX resume

rrhf

RRHF & Wombat

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

template-thes-pu

Princeton University Ph.D. Dissertation Template

ten-rules

Ten simple rules for better figures

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

tsap

Time series analysis in python

unsteadyheatequation

Parallel programming with OpenMP and MPI. HW4, APC524, Fall 2016. Hao Zhang, MAE, Princeton University