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2nd-keyboard

ALL of Taran's scripts - not just for the 2nd keyboard.

addons

Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

aiml_gpu_ncar_envs

Collection of scripts for installing GPU enabled AI/ML Python environments for NCAR HPC systems.

array_storage_benchmark

Compare some methods of array storage in Python (numpy)

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

choco

Chocolatey CLI

dask-tutorial

NCAR/CISL Dask tutorial (Spring 2023)

davitpy

DEPRECATED The DaViT Python project

first-contributions

🚀✨ Help beginners to contribute to open source projects

giscus_app

google-colab

A general repo for creating Colab Jupyter notebooks for MLflow tests and issues

gpu_workshop

interpretable-ml-book

Book about interpretable machine learning

ispace

Integrated SPACE physics models

ispace.github.io

iSpace

kmcounter

Use heatmap to show mouse and keyboard usage. 使用热力图显示鼠标与键盘使用情况的工具。

machine-learning

minigpt-4

MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models

nerf

Code release for NeRF (Neural Radiance Fields)

nerf-pytorch

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

notebooks-101

Everything you need to know about running Jupyter Notebooks on comet and stratus.

optjournal

Yet another Optuna storage implementation using journaling technique.

pamhd

pyopt-pyipopt

pyIPOPT module for pyOpt

pyspedas

SPEDAS routines for Python

python-100-days

Python - 100天从新手到大师

pytplot

A python version of the IDL tplot libraries

real-time-voice-cloning

Clone a voice in 5 seconds to generate arbitrary speech in real-time

reproduciblepython

Workshop materials for PyCon 2018 workshop on reproducible analysis in Python