Cheat Sheet: The pandas DataFrame Object

کتاب های برنامه نویسی رایگان

فهرستی از کتاب های برنامه نویسی رایگان به زبان ها و ترجمه های متعدد (از جمله فارسی) یکی از محبوب ترین مخازن در GitHub است.

https://github.com/EbookFoundation/free-programming-books

سایت
https://ebookfoundation.github.io/free-programming-books/


بخش فارسی
ㅤ
کتابهای برنامه نویسی
https://ebookfoundation.github.io/free-programming-books/books/free-programming-books-fa_IR.html#linux

دوره آنلاین رایگان
https://ebookfoundation.github.io/free-programming-books/courses/free-courses-fa_IR.html

پادکست فارسی
https://ebookfoundation.github.io/free-programming-books/casts/free-podcasts-screencasts-fa_IR.html

لیست ابزارهای دانلود رایگان مقاله و کتاب

1. Nexus search (telegram bot)
🟢 t.me/sks7777777nexusbot
🟢 t.me/nexusbooks_maxenswlfr_bot
🟢 t.me/rcbook_bot
🟢 t.me/subitoafk_bot
🟢 t.me/Nexus_books_moji_bot 
🟢 t.me/nexus_bookss_bot
🟢 t.me/Crawl_for_books_bot
🟢 t.me/Fr_lib_pirate_bot
🟢 t.me/NexusbotBot
🟢 t.me/scihubot
🟢 t.me/sks7777777nexusbot
🟢 t.me/tkutuphanebot
🟢 t.me/Researchassist_free_article_bot
🟢 t.me/subitoafk_bot
🟢 t.me/ShingekiKyojin_bot
🟡 t.me/nexus_search_brian_bot
🟡 t.me/asschandmustdie_bot
🟡 t.me/science_nexus_bot
🟡 t.me/nexus_search_another_bot

2. Library Genesis (site):
🟢 libgen.is
🟢 libgen.st
🟢 libgen.rs
🟢 libgen.gs
🟢 libgen.rs
🟢 libgen.rs
🟡 libgen.io
🟡 libgen.be
🟡 libgen.nl

3. Sci-hub (site):
🟢 sci-hub.ee
🟢 sci-hub.ren
🟢 sci-hub.wf
🟢 sci-hub.se
🟢 sci-hub.wf
🟢 sci-hub.wf

4. Papers Download (telegram group):
🟢 t.me/+htsaeeM3ZwUwNTY8
🟢 t.me/freepapers_drkayvanfar

5. Z-library (site):
🟢 z-lib.is
🟢 z-lib.io

6. Pdfdrive (site):
🟢 pdfdrive.com

7. Wosonhj (site):
🟢 wosonhj.com

8. STC (site):
🟢 standard--template--construct-org.ipns.dweb.link

لیست به ترتیب سهولت و سرعت استفاده مرتب شده است

#منابع

پ.ن: چیزی میدونین کامنت کنید‌

🔸 مطالب بیشتر 👇👇

✅ @AI_DeepMind
🔸 @AI_Person

به عنوان یک دیتا ساینس به چه میزان و سطحی از ریاضی نیاز داریم تا در این حوزه به مشکل برنخوریم.

https://towardsdatascience.com/how-to-learn-the-math-needed-for-data-science-86c6643b0c59

@DevTwitter | <amir atar/>

Statistical Methods for Data Science

Elizabeth Purdom
2023-05-08

@machine_learning_and_DL

📁Machine Learning Techniques Applied to the Study of Drug Transporters

📕 Journal: Molecules (I.F.= 4.6)
📅 Publish year: 2023

🧑‍💻 Authors: Xiaorui Kong, Kexin Lin,Gaolei Wu
🤖 University: Department of Pharmacy, Dalian Medical University, China

📎 Study the paper

💡 ResAdapter: Domain Consistent Resolution Adapter for Diffusion Models

New framework designed for diffusion models (eg SD) to create images at any resolution and aspect ratio.
Unlike other resolution generation methods that process images with post-processing, ResAdapter directly generates images at a given resolution.

💥 page : https://res-adapter.github.io

🫧 paper : https://arxiv.org/abs/2403.02084

⭐️ code : https://github.com/bytedance/res-adapter

🖼️ Differential Diffusion: Giving Each Pixel Its Strength 🔥

✅ code: github.com/exx8/differential-diffusion

✅ page: differential-diffusion.github.io

✅ paper: arxiv.org/abs/2306.00950

RENT (Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning, ICLR 2024)

🖥 Github: https://github.com/BaeHeeSun/RENT

🔖 Paper: https://arxiv.org/pdf/2403.02690v1.pdf

🔥 Dataset: https://paperswithcode.com/dataset/cifar-10

✨ Tasks: https://paperswithcode.com/task/learning-with-noisy-labels

Placing Objects in Context via Inpainting for Out-of-distribution Segmentation

⌨️ Github: https://github.com/naver/poc

🔖 Paper: https://arxiv.org/pdf/2402.16392v1.pdf

🔥 Dataset: https://paperswithcode.com/dataset/cityscapes

💫 Tasks: https://paperswithcode.com/task/segmentation

⏺ZHEM: An Integrated Data Processing Framework for Pretraining Foundation Models

🖥 Github: https://github.com/emanual20/zhem

💤 Paper: https://arxiv.org/pdf/2402.16358v1.pdf

🔥 Dataset: https://paperswithcode.com/dataset/wikitext-2

200+ Python & Data Science Tips and tricks

🧵E-LoFTR: new Feats-Matching SOTA🧵

👉A novel LoFTR-inspired algorithm for efficiently producing semidense matches across images: up to 2.5× faster than LoFTR, superior to previous SOTA pipeline (SuperPoint + LightGlue). Code announced.

👉Review https://t.ly/7SPmC
👉Paper https://arxiv.org/pdf/2403.04765.pdf
👉Project https://zju3dv.github.io/efficientloftr/
👉Repo https://github.com/zju3dv/efficientloftr

🦁StableDrag: Point-based Editing🦁

👉#Tencent unveils StableDrag, a novel point-based image editing framework via discriminative point tracking method + confidence-based latent enhancement strategy for motion supervision. Source Code announced but still no repo.

👉Review https://t.ly/eUI05
👉Paper https://lnkd.in/dz8-ymck
👉Project stabledrag.github.io/

ML Cheatsheet
چیت شیت یادگیری ماشین


تو کانال چیت‌شیت زیاد گذاشتم با هشتگ زیر می تونید پیداشون کنید
#Cheatsheet

🆔 @Ai_Tv

این سایت به شما این امکان رو میده که با استفاده از مدل های یادگیری ماشین وب اپلیکیشن بسازید و از این مدل ها در اپ استفاده کنید.

https://huggingface.co/spaces/jbilcke-hf/webapp-factory-wizardcoder

@DevTwitter | <amir atar/>

VTG-GPT

🖥 Github: https://github.com/YoucanBaby/VTG-GPT

📕 Paper: https://arxiv.org/pdf/2403.02076v1.pdf

Dataset: https://paperswithcode.com/dataset/activitynet-captions

Tasks: https://paperswithcode.com/task/zero-shot-moment-retrieval