Topics / #svm

Svm projects on GitHub

Support vector machine tutorials and implementations.

As of , the most-starred Svm projects on GitHub are DeepLearning-500-questions (57.7K stars), 100-Days-Of-ML-Code (51.9K stars) and ailearning (42.6K stars). GitHub.Locker tracks 9 Svm repositories with 248.9K stars combined. The fastest-growing on October 18 was solana-classic, with +52 stars in a day.

9Projects
248.9KStars in total
+76Stars in a day
Browse in the catalog →github.com/topics/svm ↗

Hot right now

Most stars gained in a day · Oct 18

+52

solana-classic

solana-classic/solana-classic · ★ 557

Solana Classic is an open-source SVM blockchain built with Solana's Agave engine, run as an independent network whose roadmap is dedicated to art, NFTs and memes instead of treating them as a side category. It currently runs an experimental devnet with a single validator.

+7

100-Days-Of-ML-Code

Avik-Jain/100-Days-Of-ML-Code · ★ 51.9K

This is a personal learning log by Avik Jain documenting 100 days of machine learning coding, following the #100DaysOfMLCode challenge proposed by Siraj Raval. It records daily progress on ML topics with notes, code, and infographics.

+5

Machine-Learning

Jack-Cherish/Machine-Learning · ★ 10.4K

A Chinese-language tutorial project that implements classic machine learning algorithms in Python3 - kNN, Decision Tree, Naive Bayes, Logistic Regression, SVM, Regression, Regression Tree and AdaBoost - following the exercises in the book 'Machine Learning in Action', with companion blog articles explaining each chapter.

+4

DeepLearning-500-questions

scutan90/DeepLearning-500-questions · ★ 57.7K

It is a Chinese-language Q&A style reference covering probability, linear algebra, machine learning, deep learning, and computer vision, organized as answers to 500+ commonly asked questions across 18 chapters and over 500,000 characters. It is also sold in print as 'Deep Learning 500 Questions — AI Engineer Interview Guide' (深度学习500问——AI工程师面试宝典).

The all-time top

9 projects · by stars

  1. #1 · scutan90/DeepLearning-500-questions

    DeepLearning-500-questions

    It is a Chinese-language Q&A style reference covering probability, linear algebra, machine learning, deep learning, and computer vision, organized as answers to 500+ commonly asked questions across 18 chapters and over 500,000 characters. It is also sold in print as 'Deep Learning 500 Questions — AI Engineer Interview Guide' (深度学习500问——AI工程师面试宝典).

    57.7K
  2. #2 · Avik-Jain/100-Days-Of-ML-Code

    100-Days-Of-ML-Code

    This is a personal learning log by Avik Jain documenting 100 days of machine learning coding, following the #100DaysOfMLCode challenge proposed by Siraj Raval. It records daily progress on ML topics with notes, code, and infographics.

    51.9K
  3. #3 · apachecn/ailearning

    ailearning

    AiLearning is a Chinese-language, practice-first study guide covering data analysis, machine learning, linear algebra, PyTorch, NLTK, and TensorFlow 2, built mainly around code-along notes for the book 'Machine Learning in Action'.

    42.6K
  1. 4

    ML-From-Scratch

    33Keriklindernoren/ML-From-Scratch · Python

    A Python library of fundamental machine learning models and algorithms implemented from scratch in NumPy, aiming to cover everything from linear regression to deep learning.

  2. 5

    The-Art-Of-Programming-By-July-2nd

    21.5Kjulycoding/The-Art-Of-Programming-By-July-2nd · C

    This is a Chinese book-and-notes repository on programming interview questions, algorithms and data structures, originally a blog series that grew into the published book '编程之法:面试和算法心得' (The Art of Programming). It also bundles machine learning notes (SVM, CNN, RNN/LSTM, BERT, ChatGPT) collected from the author's other blog series.

  3. 6

    lihang-code

    19.6Kfengdu78/lihang-code · Jupyter Notebook

    A collection of Jupyter Notebook code implementations for every algorithm covered in Li Hang's book 'Statistical Learning Methods' (《统计学习方法》, 2nd edition), organized chapter by chapter.

  4. 7

    Statistical-Learning-Method_Code

    11.6KDod-o/Statistical-Learning-Method_Code · Python

    A from-scratch Python implementation of every algorithm covered in Li Hang's book 'Statistical Learning Method' (统计学习方法), with heavily commented code that maps directly to the formulas in the book.

  5. 8

    Machine-Learning

    10.4KJack-Cherish/Machine-Learning · Python

    A Chinese-language tutorial project that implements classic machine learning algorithms in Python3 - kNN, Decision Tree, Naive Bayes, Logistic Regression, SVM, Regression, Regression Tree and AdaBoost - following the exercises in the book 'Machine Learning in Action', with companion blog articles explaining each chapter.

  6. 9

    solana-classic

    557solana-classic/solana-classic · Rust

    Solana Classic is an open-source SVM blockchain built with Solana's Agave engine, run as an independent network whose roadmap is dedicated to art, NFTs and memes instead of treating them as a side category. It currently runs an experimental devnet with a single validator.

Often tagged together