Nā hale waihona puke i kākau ʻia ma Jupyter Notebook

paper2gui

Convert AI papers to GUI，Make it easy and convenient for everyone to use artificial intelligence technology。让每个人都简单方便的使用前沿人工智能技术.
  • 8.2k
  • MIT

tortoise-tts

He ʻōnaehana TTS leo nui i hoʻomaʻamaʻa ʻia me ka manaʻo nui i ka maikaʻi.
  • 8.2k
  • Apache License 2.0

nerf

Hoʻokuʻu code no NeRF (Neural Radiance Fields).
  • 8.0k
  • MIT

FinRL

FinRL: Aʻo Hoʻoikaika kālā. 🔥.
  • 7.8k
  • MIT

TTS

:robot::speech_balloon: Aʻo hohonu no ke kikokikona i ka haʻiʻōlelo (Hui kūkākūkā: https://discourse.mozilla.org/c/tts) (na mozilla).
  • 7.7k
  • Mozilla Public License 2.0

vision_transformer

  • 7.7k
  • Apache License 2.0

tsfresh

'Ohi 'akomi o nā hi'ohi'ona pili mai ka mo'o manawa:.
  • 7.6k
  • MIT

pycaret

ʻO kahi waihona aʻo mīkini haʻahaʻa haʻahaʻa ma Python.
  • 7.5k
  • MIT

FinGPT

ʻIkepili-Centric FinGPT. Open-kumu no ka wehe kālā! Revolutionize 🔥 E hoʻokuʻu koke mākou i ke kumu hoʻohālike i aʻo ʻia.
  • 7.5k
  • MIT

mlops-zoomcamp

ʻO ka papa MLOps manuahi mai DataTalks. Club.
  • 7.5k

disco-diffusion

  • 7.3k
  • GNU General Public License v3.0

examples

Nā hiʻohiʻona TensorFlow (e ka tensorflow).
  • 7.3k
  • Apache License 2.0

qlora

QLoRA: Hoʻoponopono maikaʻi i nā LLM i helu ʻia.
  • 6.8k
  • MIT

Dreambooth-Stable-Diffusion

Ka hoʻokō ʻana o Dreambooth (https://arxiv.org/abs/2208.12242) me Stable Diffusion.
  • 6.8k
  • MIT

DensePose

ʻO kahi ala manawa maoli no ka palapala ʻana i nā pika kanaka āpau o nā kiʻi 2D RGB i kahi kumu hoʻohālike 3D ma luna o ke kino.
  • 6.6k
  • GNU General Public License v3.0

Stock-Prediction-Models

E hōʻiliʻili i ka aʻo mīkini a me nā kumu hoʻonaʻauao hohonu no ka wānana Stock me nā bots kālepa a me nā simulation.
  • 6.6k
  • Apache License 2.0

pytorch-Deep-Learning

Ke aʻo hohonu (me PyTorch).
  • 6.5k
  • GNU General Public License v3.0

python-docs-samples

Hoʻohana ʻia nā laʻana code ma cloud.google.com.
  • 6.4k
  • Apache License 2.0

H2O

H2O he Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM).), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
  • 6.4k
  • Apache License 2.0

introtodeeplearning

Nā Mea Hana Lab no MIT 6. S191: Introduction to Deep Learning.
  • 6.4k
  • MIT

py

Hale waihona no ka mālama ʻana i nā polokalamu python laʻana no ke aʻo ʻana i ka python.
  • 6.3k

pandas-cookbook

ʻO nā mea ʻai no ka hoʻohana ʻana i ka waihona pandas Python.
  • 6.2k

models

ʻO kahi hōʻiliʻili o nā hiʻohiʻona i hoʻomaʻamaʻa mua ʻia, ʻoi loa i ka format ONNX (by onnx).
  • 6.2k
  • Apache License 2.0

LAVIS

LAVIS - He Waihona Puke Hoʻokahi no ka ʻike ʻōlelo-ʻike.
  • 6.1k
  • BSD 3-clause "New" or "Revised"

mlbookcamp-code

ʻO ke code mai ka puke Machine Learning Bookcamp a me kahi papa manuahi e pili ana i ka puke.
  • 6.1k

swift

ʻO ka wikiwiki no TensorFlow (e ka tensorflow).
  • 6.1k
  • Apache License 2.0

automl

Google Brain AutoML.
  • 6.0k
  • Apache License 2.0

lama

🦙 Ka pena kiʻi ʻo LaMa, ke pena kiʻi nui i hoʻoholo ʻia me ka Fourier Convolutions, WACV 2022.
  • 5.9k
  • Apache License 2.0

vosk-api

API no ka ʻike leo pahemo no Android, iOS, Raspberry Pi a me nā kikowaena me Python, Java, C# a me Node.
  • 5.9k
  • Apache License 2.0

cleverhans

He waihona kumu hoʻohālike ʻenemi no ke kūkulu ʻana i nā hoʻouka kaua, ke kūkulu ʻana i nā pale, a me ka hoʻohālikelike ʻana i nā mea ʻelua.
  • 5.9k
  • MIT