Nā hale waihona puke i kākau ʻia ma Jupyter Notebook
h4cker
Mālama ʻia kēia waihona e Omar Santos (@santosomar) a loaʻa nā tausani o nā kumuwaiwai e pili ana i ka hacking ethical / penetration testing, digital forensics and incident response (DFIR), vulnerability research, exploit development, reverse engineering, a me nā mea hou aku.
- 14.1k
- MIT
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter puke me ka Jupyter Notebook. Hoʻopili i ke kūkulu ʻana i ka intuition a me ka ʻike, ʻaʻole nā hōʻike kūhelu. Loaʻa nā kānana Kalman, nā kānana Kalman lōʻihi, nā kānana Kalman ʻaʻala ʻole, nā kānana ʻāpana, a me nā mea hou aku. Loaʻa nā hoʻonā āpau i nā hoʻomaʻamaʻa āpau.
- 14.1k
- GNU General Public License v3.0
digital_video_introduction
He hoʻolauna lima i ka ʻenehana wikiō: kiʻi, wikiō, codec (av1, vp9, h265) a me nā mea hou aku (ffmpeg encoding). Nā unuhi: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷.
- 13.8k
- BSD 3-clause "New" or "Revised"
first-order-model
Aia i loko o kēia waihona ke kumu kumu no ka pepa First Order Motion Model for Image Animation.
- 13.6k
- MIT
deepmind-research
Aia kēia waihona i nā hoʻokō a me nā code kiʻi e hele pū me nā puke DeepMind.
- 12.0k
- Apache License 2.0
python-machine-learning-book
ʻO ka "Python Machine Learning (1st edition)" book code repository and information resources.
- 11.9k
- MIT
DeepLearningExamples
Nā palapala Hoʻonaʻauao Hoʻonaʻauao Moku'āina i hoʻonohonoho ʻia e nā hiʻohiʻona - maʻalahi e hoʻomaʻamaʻa a kau ʻia me ka pololei e hana hou ʻia a me ka hana ʻana ma nā ʻoihana ʻoihana.
- 11.3k
yolov7
Ka hoʻokō ʻana i ka pepa - YOLOv7: Hoʻonohonoho ʻia nā ʻeke ʻeke manuahi hou no nā mea ʻike i ka manawa maoli.
- 10.8k
- GNU General Public License v3.0 only
dopamine
ʻO Dopamine kahi papa hana noiʻi no ka prototyping wikiwiki o nā algorithm aʻo hoʻoikaika.
- 10.2k
- Apache License 2.0
Grounded-Segment-Anything
Grounded-SAM: Ka male ʻana i ka Grounding DINO me ka ʻāpana ʻO kēlā me kēia mea & Stable Diffusion & Hoʻomaopopo i nā mea āpau - ʻike aunoa, ʻāpana a hana i kekahi mea.
- 10.0k
- Apache License 2.0
machine-learning-for-trading
Code no ke aʻo ʻana i ka mīkini no ke kālepa algorithm, 2nd edition..
- 10.0k
prettymaps
He hana liʻiliʻi o Python e kaha kiʻi i nā palapala ʻāina maikaʻi mai ka ʻikepili OpenStreetMap. Ma muli o osmnx, matplotlib a me nā hale waihona puke shapely..
- 9.9k
- GNU Affero General Public License v3.0
numerical-linear-algebra
ʻO ka puke haʻawina pūnaewele manuahi o nā puke puke Jupyter no ka papa wikiwiki.ai Computational Linear Algebra.
- 9.6k
The-Complete-FAANG-Preparation
Aia i loko o kēia waihona nā DSA (Data-Structures, Algorithms, 450 DSA na Love Babbar Bhaiya, FAANG Nīnau), Nā kumuhana ʻenehana (OS + DBMS + SQL + CN + OOPs) Theory+Nīnau, nīnau nīnau nīnau FAANG, a me nā mea like ʻole (Programming). MCQs, Puzzles, Aptitude, Reasoning). ʻO nā ʻōlelo Programming i hoʻohana ʻia no ka hōʻike ʻana ʻo C++, Python, a me Java.
- 9.3k
- MIT
computervision-recipes
Nā hana maikaʻi loa, nā laʻana code, a me nā palapala no Computer Vision..
- 9.1k
- MIT
amazon-sagemaker-examples
Laʻana 📓 Nā puke puke Jupyter e hōʻike ana i ke kūkulu ʻana, hoʻomaʻamaʻa, a hoʻopololei i nā kumu hoʻohālike aʻo mīkini me ka hoʻohana ʻana iā 🧠 Amazon SageMaker..
- 8.6k
- Apache License 2.0
