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Carl-McBride-Ellis

Compendium-of-free-ML-reading-resources

Compendium of free ML reading resources

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创建于 2023-09-01 · 更新于 2026-10-15 · 今日第 4254 名
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Carl-McBride-Ellis

Carl-McBride-Ellis/Compendium-of-free-ML-reading-resources 排名第 4,254，有 573 个星标。

同类别比较

Carl-McBride-Ellis/Compendium-of-free-ML-reading-resources 排名第 4,254，此处有 8 个同类条目；danielrosehill/Claude-Code-Projects-Index 排名第 4,269。

同类别比较
名称排名指标
jasonmanesis/Satellite-Imagery-Datasets-Containing-Ships4,223
星标数:
608
分叉数:
77
简介:
This repository provides a comprehensive list of radar and optical satellite datasets curated for ship detection, classification, semantic segmentation, and instance segmentation tasks. These datasets are ideal for applications in computer vision, machine learning, remote sensing, and maritime analysis.
Meliwat/awesome-ios-design-md4,226
星标数:
601
分叉数:
39
简介:
200 production-grade DESIGN.md design systems for the world's best apps. Framework-neutral plus SwiftUI, Jetpack Compose, and Expo. Hand one to your AI agent, ship pixel-matched UI.
fuxiaoai/tidings-rss4,229
语言:
Python
星标数:
599
分叉数:
42
简介:
Curated, live-verified OPML collections for AI, news, research, blogs, videos, podcasts, and engineering.
AbdelStark/awesome-typesafe-jev4,237
语言:
HTML
星标数:
594
分叉数:
154
简介:
Awesome Jev: a source-backed field guide to TypeSafe's System One model, with SDKs, live demos, agent tools, and independent evaluations.
danielrosehill/Claude-Code-Projects-Index4,269
语言:
Astro
星标数:
558
分叉数:
70
简介:
An index of my Claude Code related repos including a wide variety of starter templates for using Claude Code for common and more imaginative purposes!
athemeroy/awesome-claude-5-5-videos4,283
语言:
Python
星标数:
539
分叉数:
40
简介:
Source-linked Claude 5.5 video workflows: Opus and Sonnet demos, separately labeled next-Fable testing reports, prompts, tools and production evidence.
cporter202/ai-agent-tools4,315
星标数:
509
分叉数:
135
简介:
A curated collection of AI tools, utilities, and resources for developers and creators
worldbench/awesome-vla-for-ad4,324
语言:
HTML
星标数:
502
分叉数:
51
简介:
🌐 Vision-Language-Action Models for Autonomous Driving: Past, Present, and Future
关键参数与规格
关键参数与规格
参数值
类别Lists
子类别Paper collections
星标数573
分叉数131
贡献者1
创建日期2023-09-01
更新日期2026-10-15
1 天星标数2
7 天星标数3
排名4,254
上次排名16,592
排名变化12,338
7 天星标排名7,390
上次 7 天星标排名11,366
7 天星标排名变化3,976
总星标排名17,392
上次总星标排名17,421
总星标排名变化29
国家Spain
README 摘录

Compendium of free ML reading resources Key: :orange_book: pdf file :earth_africa: html book ToC 1. EDA, visualization, and data cleaning (8) 2. Deep learning / neural networks (17) 11. Natural language processing (NLP) and large language models (LLM) (13) 16. Time series: Forecasting (6) Total number of books: **198** Note: All books listed here have been made freely available by their respective authors/publishers, and all arXiv papers are inherently free. Wilke :earth_africa: "R Graphics Cookbook" by Winston

Chang :earth_africa: "Modern Data Visualization with R" by Robert Kabacoff :orange_book: "Data Cleaning and Machine Learning: A Systematic Literature Review" by Pierre-Olivier Côté, Amin Nikanjam, Nafisa Ahmed, Dmytro Humeniuk, and Foutse Khomh :orange_book: "Think Stats: Exploratory Data Analysis in Python" by Allen B. Aldo Faisal, and Cheng Soon Ong :orange_book: "The Matrix Calculus You Need For Deep Learning" by Terence Parr, and Jeremy Howard :orange_book: "Matrix Analysis" by Joel A. Tropp :orange_book

: "Linear Algebra Done Wrong" by Sergei Treil :orange_book: "Linear Algebra Done Right" by Sheldon Axler :orange_book: "Linear Algebra, Theory And Applications" by Kenneth Kuttler :orange_book: "The Matrix Cookbook" by Kaare Brandt Petersen, and Michael Syskind Pedersen :orange_book: "Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares" by Stephen Boyd and Lieven Vandenberghe :orange_book: "Linear Algebra for Data Science" by Wanmo Kang, and Kyunghyun Cho :orange_book: "Linear Algebra for Computer Vision, Robotics, and Machine

Learning" by Jean Gallier and Jocelyn Quaintance :orange_book: "Matrix Calculus (for Machine Learning and Beyond)" by Paige Bright, Alan Edelman, Steven G. Rosenthal :orange_book: "Probability in High Dimensions" by Joel A. Tropp :orange_book: "Introduction to Probability" by Joseph K. Blitzstein and Jessica Hwang :orange_book: "A History of the Central Limit Theorem From Classical to Modern Probability Theory" by Hans Fischer :orange_book: "Think Bayes: Bayesian Statistics Made Simple" by Allen B. Downey :orange_book: "Introduction to

Bayesian Statistics" by Brendon J. Brewer :orange_book: "learning statistics with jamovi" by Danielle J. Foxcroft :orange_book: "Bayesian Data Analysis" by Andrew Gelman, John Carlin, Hal Stern, David Dunson, Aki Vehtari, and Donald Rubin :orange_book: "Compendium of Common Probability Distributions" by Michael P. McLaughlin :orange_book: "Probability and Statistics for Data Science" by Carlos Fernandez-Granda :orange_book: "Statistical Modeling: An Excursion Through 14 Topics" by Reinhard Furrer :orange_book: "Robust Statistics" by David J. Olive :orange_book

: "CS109 Probability for Computer scientists" by Chris Piech :orange_book: "Odds & Ends: Introducing Probability & Decision with a Visual Emphasis" by Jonathan Weisberg :orange_book: "Grinstead and Snell’s Introduction to Probability" by Peter G. Powell :orange_book: "Bayesian Optimization" by Roman Garnett :orange_book: "Fundamentals of Optimization Theory With Applications to Machine Learning" by Jean Gallier and Jocelyn Quaintance :orange_book: "Algorithms for Optimization" by Mykel J. van Wieringen :orange_book: "Linear Model and Extensions" by Peng Ding :orange_book

: "Regression and Other Stories" by Andrew Gelman, Jennifer Hill, and Aki Vehtari :orange_book: "Lecture Notes on High Dimensional Linear

常见问题

记录了多少星标和分叉？

Carl-McBride-Ellis/Compendium-of-free-ML-reading-resources 有 573 个星标和 131 个分叉。

仓库排名是多少？

Carl-McBride-Ellis/Compendium-of-free-ML-reading-resources 排名第 4,254。

哪个仓库排名最接近？

Carl-McBride-Ellis/Compendium-of-free-ML-reading-resources 与 danielrosehill/Claude-Code-Projects-Index 比较，后者排名第 4,269，有 558 个星标。

README

Compendium of free ML reading resources

Key:

  • :orange_book: pdf file
  • :earth_africa: html book

ToC

  1. EDA, visualization, and data cleaning (8)
  2. Mathematics for ML (13)
  3. Statistics and probability (16)
  4. Optimization (7)
  5. Linear regression (6)
  6. Machine learning (51)
  7. R realted (18)
  8. Feature engineering (2)
  9. Explainability/interpretability (6)
  10. Deep learning / neural networks (17)
  11. Reinforcement learning (8)
  12. Recommender systems (2)
  13. Anomaly detection (1)
  14. Computer vision (4)
  15. Natural language processing (NLP) and large language models (LLM) (13)
  16. Causal inference (14)
  17. Conformal prediction (5)
  18. Time series: Forecasting (6)

Total number of books: 198

Note: All books listed here have been made freely available by their respective authors/publishers, and all arXiv papers are inherently free.

EDA, visualization, and data cleaning

Mathematics for ML

Statistics and probability

Optimization

Linear regression

Machine learning

R realted

Feature engineering

Explainability/interpretability

Deep learning / neural networks

Reinforcement learning

Recommender systems

Anomaly detection

Computer vision

Natural language processing (NLP) and large language models (LLM)

Causal inference

Conformal prediction

Time series: Forecasting

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