Nā hale waihona puke i kākau ʻia ma Jupyter Notebook

sd-webui-colab

ʻO kahi repo no ka mālama ʻana i ka mana Colab o stable-diffusion-webui repo.
  • 513
  • Apache License 2.0

diffusion_models

He pūʻulu puke aʻo e pili ana i ka hōʻole ʻana i nā hiʻohiʻona diffusion probabilistic ma PyTorch (e nā acids-ircam).
  • 512

Datos-COVID19

Para señalar fuente de los data señalar que vienen de este repositorio, junto con la fuente de orígen: "Datos obtenidos desde el Ministerio de Ciencia y producidos por el Ministerio de Salud (o la fuente que corresponda) https://github.com/ MinCiencia/Datos-COVID19". E ʻoluʻolu e hōʻike i ka hōʻike ʻikepili: hana ʻia e Chile Ministry of Health a loaʻa mai ka Ministry of Science https://github.com/MinCiencia/Datos-COVID19".
  • 512
  • Creative Commons Zero v1.0 Universal

dmol-book

Ke aʻo hohonu no nā molekala a me nā puke.
  • 511
  • GNU General Public License v3.0

cifar10-fast

  • 507
  • MIT

vscode-ayu

ʻO ke kumuhana ayu no vscode.
  • 506
  • MIT

Human-Segmentation-PyTorch

Nā hiʻohiʻona hoʻokaʻawale kanaka, ka hoʻomaʻamaʻa / inference code, a me nā mea kaupaona i aʻo ʻia, i hoʻokō ʻia ma PyTorch.
  • 506

ithaca

Hoʻihoʻi a hoʻohui i nā kikokikona kahiko me ka hoʻohana ʻana i nā ʻupena neural hohonu.
  • 501
  • Apache License 2.0

Data-Engineering-Projects

Nā Papahana ʻIkepili Pilikino.
  • 501

kglab

Graph Data Science: kahi papa abstraction ma Python no ke kūkulu ʻana i nā kiʻi ʻike, i hui pū ʻia me nā hale waihona puke kiʻi kaulana - ma luna o Pandas, NetworkX, RAPIDS, RDFlib, pySHACL, PyVis, morph-kgc, pslpython, pyarrow, etc.
  • 499
  • MIT

TACO

🌮 Hōʻike ʻōpala i loko o ka Context Dataset Toolkit (na pedropro).
  • 499
  • MIT

6S083

Mea waiwai no MIT 6. S083 / 18. S190: Noʻonoʻo helu me Julia + noi i ka maʻi maʻi COVID-19.
  • 495
  • GNU General Public License v3.0

deltapy

DeltaPy - Hoʻonui ʻikepili Tabular (na @firmai).
  • 494

jaxrl

Hoʻokō ʻo JAX (Flax) i nā algorithms no ke aʻo ʻana i ka hoʻoikaika hohonu me nā wahi hana mau.
  • 494
  • MIT

Julia-DataFrames-Tutorial

He kumu aʻo ma Julia DataFrames package.
  • 492
  • MIT

AeroSandbox

ʻO ka hoʻolālā hoʻolālā mokulele i hana wikiwiki ʻia ma o ka ʻokoʻa ʻokoʻa o kēia wā. Nā mea hana loiloi composable no ka aerodynamics, propulsion, structures, trajectory design, a me nā mea hou aku.
  • 490
  • MIT

joypy

Joyplots ma Python me matplotlib & pandas:chart_with_upwards_trend:.
  • 490
  • MIT

Deep-Reinforcement-Learning-Algorithms

32 mau papahana i loko o ke kāʻei o Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C a me nā mea ʻē aʻe. Hāʻawi ʻia kēlā me kēia papahana me kahi log aʻo kikoʻī.
  • 485

LLVIP

LLVIP: ʻIke ʻia-infrared i hui pū ʻia no ka ʻike haʻahaʻa.
  • 484

Building-a-Simple-Chatbot-in-Python-using-NLTK

Ke kūkulu ʻana i kahi Chatbot maʻalahi mai Scratch ma Python (me ka hoʻohana ʻana iā NLTK).
  • 483

jax-cfd

ʻO ka Computational Fluid Dynamics ma JAX.
  • 483
  • Apache License 2.0

EveryDream-trainer

Hoʻoponopono maikaʻi maʻamau no Stable Diffusion.
  • 480
  • MIT

mathematicalpython

Introduction to Mathematic Computing with Python and Jupyter.
  • 477

Reactors

🌱 E hui pū me kahi kaiāulu o nā mea hoʻomohala ma Microsoft Reactor a hui pū me nā kānaka, nā mākau, a me nā ʻenehana e kūkulu i kāu ʻoihana a i ʻole ke aʻo pilikino. Hāʻawi mākou i nā livestreams manuahi, ʻike ma ka noi, a me nā hanana hybrid/in-person i kēlā me kēia lā a puni ka honua. E kiʻi i kā mākou papahana a me ke code maanei..
  • 477
  • MIT

practical-mlops-book

[Buke-2021] Puke MLOps O'Reilly pono.
  • 474

rl_games

Hoʻokō RL.
  • 474
  • MIT

facet

AI hiki ke wehewehe kanaka..
  • 471
  • Apache License 2.0

gtc2017-numba

Numba kumu aʻo no GTC 2017 hālāwai kūkā.
  • 469

ghapi

He ʻoluʻolu a piha hoʻi i ka API kupaianaha o GitHub.
  • 467
  • Apache License 2.0