Nā hale waihona puke i kākau ʻia ma Jupyter Notebook
models
Nā hiʻohiʻona a me nā hiʻohiʻona i kūkulu ʻia me TensorFlow.
- 76.0k
- GNU General Public License v3.0
TensorFlow-Examples
ʻO TensorFlow Tutorial a me nā laʻana no ka poʻe hoʻomaka (kākoʻo iā TF v1 & v2).
- 42.9k
- GNU General Public License v3.0
PythonDataScienceHandbook
Python Data Science Handbook: kikokikona piha ma Jupyter Notebooks.
- 39.0k
- MIT
segment-anything
Hāʻawi ka waihona i ke code no ka holo ʻana me ka SegmentAnything Model (SAM), nā loulou no ka hoʻoiho ʻana i nā kumu hoʻohālike i hoʻomaʻamaʻa ʻia, a me nā puke laʻana e hōʻike ana i ka hoʻohana ʻana i ke kumu hoʻohālike.
- 36.6k
- Apache License 2.0
Made-With-ML
E aʻo pehea e hoʻolālā, hoʻomohala, hoʻonohonoho a hoʻololi i nā noi ML pae hana.
- 33.7k
- MIT
nn
🧑🏫 60 Hoʻokō/aʻo o nā pepa aʻo hohonu me nā memo ʻaoʻao 📝; me nā mea hoʻololi (mua, xl, hoʻololi, manaʻo manaʻo, vit,...), optimizers (adam, adabelief, sophia,...), gans(cyclegan, stylegan2,...), 🎮 reinforcement aʻo (ppo, dqn), capsnet, distillation,... 🧠.
- 32.2k
- MIT
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": He hoʻolauna i nā kaʻina Bayesian + papahana probabilistic me kahi helu helu / hoʻomaopopo-mua, makemakika-lua manaʻo. ʻO nā mea a pau i ka Python maʻemaʻe;).
- 25.7k
- MIT
handson-ml2
ʻO kahi pūʻulu puke puke Jupyter e hele ana iā ʻoe ma ke kumu o ke aʻo ʻana i ka mīkini a me ke aʻo hohonu ma Python e hoʻohana ana iā Scikit-Learn, Keras a me TensorFlow 2.
- 25.3k
- Apache License 2.0
handson-ml
⛔️ DEPRECATED - E nānā iā https://github.com/ageron/handson-ml3 ma kahi..
- 25.0k
- Apache License 2.0
Data-Science-For-Beginners
10 mau pule, 20 mau haʻawina, ʻepekema ʻikepili no nā mea a pau!.
- 21.8k
- MIT
homemade-machine-learning
🤖 Nā hiʻohiʻona Python o nā algorithm aʻo mīkini kaulana me ka wehewehe ʻana o Jupyter demos a me ka makemakika.
- 21.6k
- MIT
pytudes
ʻO nā polokalamu Python, maʻamau pōkole, paʻakikī nui, e hoʻopiha i nā mākau kūikawā.
- 20.6k
- MIT
pydata-book
Nā mea a me nā puke puke IPython no "Python for Data Analysis" na Wes McKinney, i paʻi ʻia e O'Reilly Media.
- 19.8k
- GNU General Public License v3.0
shap
He pāʻani theoretic approach no ka wehewehe ʻana i ka hopena o kekahi ʻano hoʻohālike mīkini.
- 19.8k
- MIT
reinforcement-learning
Hoʻokō i nā Algorithms Aʻo Hoʻoikaika. Python, OpenAI Gym, Tensorflow. Nā hoʻomaʻamaʻa a me nā hoʻonā e hele pū me ka puke a Sutton a me ka papa ʻo David Silver.
- 19.2k
- MIT
CLIP
CLIP (Contrastive Language-Kiʻi Pretraining), wānana i ka snippet kikokikona pili loa i hāʻawi ʻia i kahi kiʻi.
- 16.7k
- MIT
InvokeAI
ʻO InvokeAI kahi ʻenekini hoʻomohala alakaʻi no nā hiʻohiʻona Stable Diffusion, e hoʻoikaika ana i ka poʻe loea, nā mea pena kiʻi, a me nā mea hoihoi e hana a hoʻokumu i ka media ʻike maka me ka hoʻohana ʻana i nā ʻenehana hou i alakaʻi ʻia e AI. Hāʻawi ka hopena i kahi ʻoihana alakaʻi WebUI, kākoʻo i ka hoʻohana ʻana i ka terminal ma o kahi CLI, a lawelawe ʻo ia ke kumu no nā huahana ʻoihana lehulehu.
- 16.7k
- Apache License 2.0
data
ʻIkepili a me ke code ma hope o nā ʻatikala a me nā kiʻi ma FiveThirtyEight.
- 16.3k
- Creative Commons Attribution 4.0
awesome-python-applications
💿 Loaʻa nā polokalamu manuahi e hana maikaʻi ana, a ʻo ia hoʻi ʻo Python open-source.
- 14.7k