aistudentpack.com
A new upcoming pack focused on providing students with the essential AI tools for their education. Currently on a waitlist.
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aitoollist.org
AI Tool List is a curated directory of AI-powered tools. Its listings include a Japanese tutor, a chatbot platform for ChatGPT, Claude and Gemini, Character.AI, Replika, image generators and an AI logo generator. Entries show tags and pricing labels such as free, freemium and credits system.
github.com
Aider is an AI pair programming tool that runs in the terminal. It connects to cloud or local LLMs to start new projects or build on existing codebases, maps the codebase, and works with many programming languages. Changes are committed automatically with git, and aider can lint and test code after edits.
airtable.com
AirTable is a platform that enables teams to build custom business applications, automate workflows, and deploy AI agents. It provides relational databases, interfaces, reporting, and governance features, and integrates with tools such as Slack, Google Drive, and Salesforce.
mlberkeley.substack.com
Alien Dreams: An Emerging Art Scene - ML@B Blog provides machine-learning models, research, training resources, or evaluation tools.
github.com
Code for Data Science at Olin College, Spring 2014.
coursera.org
Andrew Ng’s Machine Learning at Stanford University is a Coursera course titled 'Supervised Machine Learning: Regression and Classification'. It is the first course of the Machine Learning Specialization. The course teaches how to build machine learning models in Python using NumPy and scikit-learn, covering regression and classification. It is aimed at beginners, requires flexible scheduling over three weeks at ten hours per week, and offers a shareable certificate.
animatedai.github.io
Animated AI is a project of animations and instructional videos about neural networks. Its topics cover convolution basics, padding, stride, grouped and depthwise-separable convolution, and pixel shuffle. It is licensed under the MIT License.
animatedllm.github.io
Understand how large language models work under the hood.
github.com
Annoy is a C++ library with Python bindings for approximate nearest neighbor search. It creates large read-only file-based indexes that are mmapped into memory so many processes can share the same data. Supported distances include Euclidean, Manhattan, cosine, Hamming and dot product.
github.com
Anthropic's educational courses repository contains five courses covering the Claude SDK, prompt engineering, real world prompting, prompt evaluations and tool use. Suggested order begins with Anthropic API fundamentals. The repository was archived by its owner and is read-only. Courses often favor the lowest-cost model, Claude 3 Haiku, to keep API costs down.
platform.claude.com
Anthropic Prompt Engineering documentation on the Claude Platform provides an overview of prompt engineering. It explains when prompt engineering is appropriate, presents Claude prompting techniques, and includes interactive tutorials for developers.
github.com
Scripts to generate a dataset with static frames from the Arcade Learning Environment. Instructions cover getting Torch, placing supported Atari ROMs (freeway, pong, riverraid, seaquest, space_invaders), building the environment and Lua wrapper, and producing frames.
atlaq.com
ATLAQ is an AI domain name generator. Users describe an idea and receive brandable domain names, which are checked live for availability. Names are scored for readability, and the site includes a domain checker.
github.com
Auto ViML automatically builds multiple machine learning models with a single line of code. It was created by Ram Seshadri, and collaborators are welcome with permission. The tool is available on GitHub.
Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
autotracer.org
AutoTracer is a free online image vectorizer that converts raster images such as JPEGs, GIFs and PNGs to scalable vector graphics in EPS, SVG, AI and PDF formats. No registration or email is required.
github.com
Awesome AutoML Papers is a GitHub-hosted curated list focused on automated machine learning (AutoML). It aggregates academic papers, articles, tutorials, slide decks, and related projects in the AutoML field, serving as a centralized reference for users exploring automated machine learning research and developments.
github.com
A curated GitHub list of resources for ChatGPT and GPT-3 from OpenAI. It covers general resources such as the ChatGPT official app and API documentation, API tools, Chrome extensions, bots for platforms including Telegram, WhatsApp, Slack, Discord and Twitter, IDE plugins, desktop apps, tutorials, applications, CLI tools and example prompts.
github.com
A curated GitHub list of federated learning system papers, articles, tutorials, slides and projects. It groups entries such as systems from big tech companies, vertical FL, open-source frameworks, edge and mobile systems, optimization, security and privacy, applications and surveys. Papers reviewed and presented at academic conferences are marked with a graduation cap symbol.
github.com
Awesome Machine Learning with Ruby is a GitHub-hosted curated list of resources for machine learning development using the Ruby programming language. It includes tutorials and machine learning libraries for Ruby users.
github.com
A curated GitHub list of TensorFlow experiments, libraries and projects, with sections for tutorials, models, tools, videos, papers and books. It describes TensorFlow as an open source software library for numerical computation using data flow graphs.
aws.amazon.com
An AWS program offering students and educators no-cost access to cloud computing skills training developed by AWS experts, plus career pathways for students. It provides a library of free, self-paced online training and hands-on labs covering storage, compute, networking, databases and cloud operations. Learners as young as 13 can register with an email address, and learners 18 and older can access a job board.
github.com
Backprop is a Python library, installable via PyPi, that enables use, finetuning and deployment of machine learning models. It provides task interfaces for conversational question answering, text classification in over 100 languages, image classification, summarisation, emotion detection and text generation, and models can be finetuned with a single line of code.