LearnAIFromScratch
learnaifromscratch.github.ioLearn AI From Scratch presents a draft curriculum covering foundational topics for building an understanding of artificial intelligence.
Looking for something like Scipy Lectures? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 5 are open source.
Scientific Python Lectures is a set of learning materials about Python for scientific computing.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | LearnAIFromScratch | — | Not stated | Web |
| 2 | TechSchool | — | Not stated | Web |
| 3 | ML YouTube Courses | — | Yes | — |
| 4 | ML Course Notes | — | Not stated | — |
| 5 | Codecademy's Data Science | — | Not stated | Web |
| 6 | Anthropic Courses | — | Not stated | Web |
| 7 | IAILab | — | Not stated | Web |
| 8 | calmcode | — | Not stated | Web |
| 9 | Sourcecodester | — | Not stated | Web |
| 10 | Learn-Python | — | Yes | — |
Learn AI From Scratch presents a draft curriculum covering foundational topics for building an understanding of artificial intelligence.
TechSchool provides free technology education and programming courses, including Elixir, Python, Ruby, React, and Node.
A curated repository helps readers discover machine learning and AI courses published on YouTube.
A collaborative collection shares course and lecture notes on machine learning, natural language processing, and AI.
Codecademy’s Machine Learning Specialist path covers Python, SQL, pandas, scikit-learn, Matplotlib, and TensorFlow.
Anthropic Academy lists learning courses such as Claude 101, with course paths and lessons.
The iAI KAIST page shares deep learning materials that visitors are permitted to use, modify, and distribute.
calmcode publishes short video lessons about modern ideas and open-source tools, organized into courses.
Sourcecodester publishes free source code projects and tutorials in programming languages including Python, PHP, and Java.
A Python learning playground and cheat sheet organizes example scripts by topic, with explanations for the code.
A series of Jupyter notebooks teaches machine learning and deep learning in Python with Scikit-Learn, Keras, and TensorFlow.
This machine learning roadmap lays out a learning path that starts with mathematics and calculus fundamentals.
Virgilio organizes data science e-learning resources in a structured project overview.
Developed for an applied cryptography course at NYU Tandon, this project focuses on SHA-256.
Tpoint Tech publishes free online tutorials and interview questions across programming languages and technology subjects.
Jupyter notebooks implement and derive machine learning algorithms from first principles using NumPy.
This tutorial walks through training and deploying a machine learning REST API that predicts cryptocurrency prices in ten steps.
Data Science IPython Notebooks collects notebooks about data science, including TensorFlow deep learning.
This open book collects methods, tools, and instructions for training, fine-tuning, and running machine learning models.
ItSourceCode offers free source code, capstone projects, and programming tutorials in several languages.
An open-source initiative, Virgilio guides learners through data science resources and skill development.
This repository walks through implementing a ChatGPT like language model in PyTorch, step by step.
web.dev provides resources for learning web development, including guides and material that readers can organize into collections.
The Borr Project builds a broad computer science curriculum from online materials for foundational study.
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