Nā hale waihona puke i kākau ʻia ma Jupyter Notebook

python_autocomplete

E hoʻohana i nā Transformers a me nā LSTM e aʻo i ka code kumu Python.
  • 178
  • MIT

ISL-python

Ke kau nei i ke code R ma ISL i python. Nā labs a me nā hoʻomaʻamaʻa.
  • 178

book

Nā PDF a me nā Codelabs no ka puke Efficient Deep Learning. (na EfficientDL).
  • 177

S2ML-Generators

Nui nā puke e ʻae ai i ka hoʻohana ʻana i nā ʻano hana aʻo mīkini e hana a hoʻololi i ka ʻike multimedia.
  • 177
  • MIT

kravis

He {K}otlin g{ra}mmar no ka {visualization data.
  • 177
  • BSD 2-clause "Simplified"

Time-Series-Transformer

He pūʻolo hoʻoponopono ʻikepili no ka ʻikepili moʻo manawa. Hoʻolālā no ke aʻo ʻana i ka mīkini a me ke aʻo hohonu..
  • 176
  • MIT

nested-transformer

Nested Hierarchical Transformer https://arxiv.org/pdf/2105.12723.pdf.
  • 176
  • Apache License 2.0

soxan

Wav2Vec no ka ʻike ʻana i ka ʻōlelo, ka hoʻokaʻawale ʻana, a me ka hoʻokaʻawale leo.
  • 176
  • Apache License 2.0

conformal_classification

Wrapper no kahi papa helu PyTorch e hiki ai ke hoʻopuka i nā pūʻulu wānana. Hoʻopaʻa ʻia nā pūʻulu i ka papa ʻoiaʻiʻo me ke kūlana kiʻekiʻe (ma ka wānana conformal).
  • 175
  • MIT

Anomaly_Detection_Tuto

ʻO ke aʻo ʻana no ka ʻike ʻana i ka anomaly ma ka univariate time series me kahi auto-encoder.
  • 174

code

Hoʻopili i nā faila no kaʻu ʻaoʻao GitHub. (na CodigoMaquina).
  • 173

artificial-intelligence

Nā papahana AI ma python, ka hapa nui o nā puke puke Jupyter.
  • 172

compendium

ʻO ka hōʻiliʻili nui loa o nā mea e pili ana i ke kālā a me ka crypto.
  • 171
  • The Unlicense

DataScienceWithPython

E aʻo i ka ʻepekema ʻikepili me ka nānā ʻana i ka hoʻohui ʻana i ka waiwai me ka ʻenehana ʻenehana maikaʻi loa.
  • 170

TTS_TFLite

ʻO kēia waihona kahi hōʻiliʻili o nā TTS Models ma TFLite.
  • 170
  • Apache License 2.0

converse

ʻIke ʻatikala kamaʻilio me ka hoʻohana ʻana i nā ʻenehana NLP like ʻole.
  • 170
  • Apache License 2.0

LessonMaterials

Open Sourced Curriculum and Lessons for a Introductory AI/ML Course.
  • 169

License-super-resolution

He Papahana Hoʻoponopono Kiʻi Papa Laikini ma Tensorflow2.
  • 169
  • MIT

prompt-extend

ka hoʻonui ʻana i nā ʻōkuhi hoʻolaha paʻa me nā hōʻailona kaila kūpono me ka hoʻohana ʻana i ka hana kikokikona.
  • 169
  • Apache License 2.0

Awesome-Competitive-Programming

Pono e ʻike i nā pilikia papahana hoʻokūkū me nā hoʻonā a me nā hiʻohiʻona intuitive (na leduckhai).
  • 168

progrock-stable

Stable Diffusion me kekahi mau hoʻonui Proggy.
  • 168
  • GNU General Public License v3.0

blog

Source code no kaʻu blog pilikino (na teddykoker).
  • 167
  • MIT

MyST-NB

Hoʻopili a hoʻokō i nā faila ipynb ma Sphinx.
  • 167
  • BSD 3-clause "New" or "Revised"

Hello-AWS-Data-Services

Laʻana code no ka lawelawe ʻikepili AWS a me nā papa ML ma LinkedIn Learning.
  • 166

r-place-blender

Nā mea hana no ka ʻike ʻike ʻikepili r/Place me Blender a me Python.
  • 166
  • MIT

Gen-L-Video

ʻO ka hoʻokō mana no "Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising".
  • 166
  • Apache License 2.0

indaba-pracs-2022

Nā puke puke no nā hoʻomaʻamaʻa ma ka Deep Learning Indaba 2022..
  • 165
  • Apache License 2.0

Local-LLM-Langchain

E hoʻouka i nā LLM kūloko me ka maʻalahi i loko o kahi puke puke Jupyter no ka hoʻāʻo ʻana me Langchain a i ʻole nā ​​​​mea ʻē aʻe. Loaʻa nā mana o Oobagooga a me KoboldAI o nā puke puke langchain me nā laʻana..
  • 163

engram

ʻO Arno's Engram v2.0 ("Engram") kahi hoʻolālā kī i hoʻopaʻa ʻia no ka paʻi ʻana ma ka ʻōlelo Pelekania e pili ana i nā noʻonoʻo ergonomic, me kahi protocol a me nā lako polokalamu no ka hana ʻana i nā papa kuhikuhi kī hou i hoʻopaʻa ʻia ma nā ʻōlelo ʻē aʻe.
  • 162
  • MIT

poppy

Hoʻolaha ʻia ʻo Physical Optical ma Python.
  • 162
  • BSD 3-clause "New" or "Revised"