ML from scratch
☆2,445Aug 12, 2025Updated 7 months ago
Alternatives and similar repositories for Machine-Learning
Users that are interested in Machine-Learning are comparing it to the libraries listed below
Sorting:
- Python training for business analysts and traders☆12,855Jul 17, 2024Updated last year
- Official code repo for the O'Reilly Book - "Hands-On Large Language Models"☆24,079Dec 17, 2025Updated 3 months ago
- Learn AI/ML for beginners with a roadmap and free resources.☆4,230Mar 11, 2025Updated last year
- learningggggggg 🐳☆574Apr 2, 2025Updated 11 months ago
- A fully functional and simple Machine Learning library made entirely from scratch with Python.☆440Dec 28, 2025Updated 2 months ago
- ☆5,748Mar 13, 2026Updated last week
- Anthropic's educational courses☆19,433Nov 13, 2025Updated 4 months ago
- Implement a ChatGPT-like LLM in PyTorch from scratch, step by step☆88,603Mar 7, 2026Updated last week
- just me trying to implement deep learning concepts in code☆214Nov 8, 2025Updated 4 months ago
- LLM101n: Let's build a Storyteller☆36,489Aug 1, 2024Updated last year
- This repository contains everything you need to become proficient in Machine Learning☆587Feb 5, 2024Updated 2 years ago
- llama3 implementation one matrix multiplication at a time☆15,252May 23, 2024Updated last year
- Machine Learning Journal for Intermediate to Advanced Topics.☆2,293Sep 8, 2025Updated 6 months ago
- This repo has all the basic things you'll need in-order to understand complete vision transformer architecture and its various implementa…☆228Jan 2, 2025Updated last year
- Implementations of Papers that I read, you can read my breakdown in my blog☆88Oct 23, 2025Updated 4 months ago
- Machine Learning Engineering Open Book☆17,440Updated this week
- Large Language Model in Action☆343Jan 28, 2025Updated last year
- Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.☆76,640Feb 5, 2026Updated last month
- [WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)☆14,276Feb 12, 2025Updated last year
- creating a tiny tensor library in raw C☆1,386Mar 5, 2025Updated last year
- Intro to leetcodes. Basic techniques, quicksort and hash structures implementation, space and time complexities.☆96Jul 26, 2024Updated last year
- ☆1,082Nov 3, 2025Updated 4 months ago
- small auto-grad engine inspired from Karpathy's micrograd and PyTorch☆275Nov 21, 2024Updated last year
- A deep-dive on the entire history of deep-learning☆1,549Jul 16, 2024Updated last year
- Low-Level Programming Roadmap and Resources☆1,318Mar 6, 2026Updated last week
- Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.☆101,895Mar 13, 2026Updated last week
- This repository contains a curated collection of 300+ case studies from over 80 companies, detailing practical applications and insights …☆9,558Aug 5, 2025Updated 7 months ago
- Python interactive dashboards for learning data science☆2,508Mar 11, 2026Updated last week
- Mastering Applied AI, One Concept at a Time☆2,143Feb 27, 2026Updated 3 weeks ago
- A curated list of Large Language Model resources, covering model training, serving, fine-tuning, and building LLM applications.☆4,745Aug 18, 2025Updated 7 months ago
- 🏅 Collection of Kaggle Solutions and Ideas 🏅☆6,356Updated this week
- Interactive Tools for Machine Learning, Deep Learning and Math☆2,801Aug 11, 2024Updated last year
- A comprehensive, curated collection of resources for learning Machine Learning, Deep Learning, and AI☆101Mar 10, 2025Updated last year
- An ML Systems Onboarding list☆1,008Feb 19, 2026Updated last month
- LLM training in simple, raw C/CUDA☆29,143Jun 26, 2025Updated 8 months ago
- From the Tensor to Stable Diffusion, a rough outline for a 10 week course.☆1,075Mar 11, 2026Updated last week
- Understanding Deep Learning - Simon J.D. Prince☆9,226Feb 24, 2026Updated 3 weeks ago
- Assignments of courses taught at IISC as part of MTech AI curriculum☆141Feb 15, 2025Updated last year
- ☆169Nov 17, 2024Updated last year