github.com
Peer-to-peer network of data owners and data scientists who can collectively train AI models using PySyft.
Directory
AI Education & Learning
AI education and learning covers courses, roadmaps, and guides for people studying machine learning. Entries include university courses, free video series, reading lists, hands-on notebooks, and roadmaps that map out a path through the field. They assume different starting points, so compare the maths and programming each one expects, whether it uses a current framework, and how much practice comes with the theory. Some are kept by a university or a company, others by one person who may move on, so check when the material was last revised. The field moves quickly, and an older guide can still teach the fundamentals.
nostarch.com
A hands-on, project-based introduction to programming with Python by Eric Matthes, published in its third edition in December 2022. The book covers basic concepts such as variables, lists, classes, and loops, and guides readers through projects including a Space Invaders-inspired arcade game, data visualizations, and a simple web application.
karsdorp.io
An interactive tutorial and introduction to programming with Python for the humanities by Folgert Karsdorp. The book has 10 chapters covering text processing, preprocessing, programming principles, readability computation, authorship attribution, object-oriented programming, information retrieval, a PDF search web application, classification and hierarchical clustering. It expects no prior programming experience. Chapters 5 and 6 are in draft status.
github.com
A Python wrapper around the ZPar statistical natural language parser, providing a ctypes-based interface and an XML-RPC ZPar server for batch processing. It works only with English ZPar models and supports 64-bit Linux and OS X. The repository was archived on Sep 13, 2022 and is read-only; the project is no longer under active development.
github.com
PyTorch Geometric Temporal is a temporal extension library for PyTorch Geometric. It contains dynamic and temporal geometric deep learning, embedding and spatio-temporal regression methods from published research papers. It includes a dataset loader, train-test splitter and temporal snapshot iterator for dynamic and temporal graphs, with GPU support and benchmark datasets.
questdb.com
QuestDB is an open-source time-series database engineered for low latency. It uses a column-oriented, time-partitioned storage engine with memory-mapped files and vectorized execution for high-throughput ingestion and millisecond-level analytical queries. SQL is extended with time-series operators such as SAMPLE BY, LATEST ON, ASOF JOIN, WINDOW JOIN and HORIZON JOIN.
r-bloggers.com
R-bloggers is a platform that aggregates and publishes R-related news and tutorials contributed by hundreds of R bloggers. Its content includes conference recaps, Shiny app development tips, new CRAN package roundups, community spotlights, and R job listings, and it allows bloggers to submit their R-related content for publication.
rationale.jina.ai
Decision-making tool powered by the latest GPT and in-context learning.
github.com
Tutorial on Python time-series model deployment.
remusic.ai
Remusic is a free AI music generator that creates full-length songs up to 4 minutes long in seconds. It also offers an AI cover generator supporting over 1,000 voices, an AI vocal remover for sound separation, an AI karaoke maker, an AI sheet music generator and a free AI music analyzer.
runwayml.com
Supports teaching, studying or skills practice with AI-guided learning tools.
sas.com
SAS Viya is a cloud native AI, analytic and data management platform supporting teams across the analytics life cycle. It unifies data, analytics and governance, and supports building, validating and deploying AI with governance, fairness and transparency. Deployment options cover cloud, hybrid and on-premises environments.
github.com
A tutorial project for applying machine learning in Python with scikit-learn, a Python module built on numpy and scipy. It aims to teach practical application of scikit-learn algorithms; the stated audience is experienced Python developers familiar with numpy and scipy. Prebuilt PDF and HTML versions, tutorial source and exercise solutions are available, and the material is under a Creative Commons Attribution 3.0 license.
github.com
SciPy tutorials. This is outdated, check out scipy-lecture-notes.
scisummary.com
SciSummary is an AI tool for researchers and students that summarizes and helps users understand scientific articles and research papers, and acts as an AI-powered reference and document manager. It supports bulk paper summarization, comparing papers, organizing a library with folders and tags, and chat messages. A free trial, a student plan and a pro plan are listed.
Sebastian Thrun’s Introduction To Machine Learning provides AI-assisted learning, courses, tutorials, or study support.
openresearch.wordpress.com
A personal blog by a PhD student at Berkeley that hosts notes and posts on data science, programming and machine learning topics. Entries include 15 principles for data scientists, C++11 learning notes, a Mandelbrot fractal in Python and notes from conference talks.
slateup.ai
Slate is an AI-powered interactive classroom in which students learn with AI classmates rather than a chatbot. It offers personalised explanations, instant doubt resolution and adaptive courses, with content aligned to NCERT for Indian students. Pricing plans start free with paid upgrades.
haifengl.github.io
Statistical Machine Intelligence and Learning Engine.
Supports teaching, studying or skills practice with AI-guided learning tools.
spinningup.openai.com
Spinning Up is OpenAI's educational resource on deep reinforcement learning. Its documentation covers installation, included algorithms, running experiments, and an introduction to RL, along with algorithm pages for methods such as DDPG and PPO. The DDPG page describes an algorithm that concurrently learns a Q-function and a policy for continuous action spaces. The PPO page describes on-policy first-order methods, including PPO-Clip.
cs336.stanford.edu
Stanford CS336: Language Modeling from Scratch is the official course website for a Stanford class offered in Spring 2026. The course walks students through the process of developing a language model, including data collection and cleaning for pre-training, transformer model construction, model training, and evaluation before deployment. The site provides logistics, schedule, assignments, and course materials.
theunwindai.com
· Quick start · Browse all templates.
systemdesigner.net
System Designer is a learning site offering interactive lessons and case studies on system design. Its Machine Learning Systems section covers building production ML systems, from data pipelines to deployment, with topics such as distributed training, model serving, MLOps monitoring and A/B testing. Lessons are organized into units with stated difficulties and durations.