Subject
26 entries
Resources
Bookmarks
Resilient Cyber's Collection of AI Security Resources
Resilient Cyber's curated collection of AI security resources: interviews, publications, and frameworks covering LLM threat models, red teaming, and AI-specific attack surfaces. A useful aggregation point for the AI security practitioner landscape.
Terminal Trove: directory of terminal and TUI applications
Terminal Trove is a curated directory of terminal and TUI applications — the go-to resource for discovering well-maintained CLI tools across categories like file managers, system monitors, git clients, and productivity tools.
Awesome LLM Judges: curated research on LLM evaluation systems
Curated collection of research on LLM-as-a-judge evaluation systems — covering ensemble methods, fine-tuned judge models, hallucination detection, generative reward models, and safety moderation. Maintained by Haize Labs alongside their Verdict library.
Ideas.rip: startup idea repository
ideas.rip is a curated repository of startup ideas across technology, health, B2B SaaS, and other sectors — a browseable catalog for entrepreneurs looking for validated problem spaces to explore or build in.
ML YouTube Courses
A curated catalog of machine learning courses available on YouTube, maintained by DAIR.AI. Covers ML fundamentals, deep learning, NLP, computer vision, and specialized topics — a single index for free university-grade ML education.
AI Generative Art Tools (Pharmapsychotic)
Pharmapsychotic's comprehensive catalog of AI generative art tools — covering text-to-image, image editing, upscaling, and animation tools available as of late 2022. One of the most widely-shared resource lists during the early Stable Diffusion era.
The Noun Project
The Noun Project is a community-sourced icon library with millions of icons from thousands of designers, available under Creative Commons or paid licensing. The standard reference for finding clean conceptual icons for UI and presentation design.
Getting into Machine Learning in 2022 (HN Discussion)
Hacker News discussion on the best paths into ML/DL in 2022 — debating resources (fast.ai, Andrew Ng, Bishop), career tracks (researcher vs. engineer vs. data scientist), and prerequisites. A snapshot of community wisdom on the ML learning path before ChatGPT shifted the landscape.
Awesome Colab Notebooks
Curated collection of Google Colab notebooks for ML experiments — covering Stable Diffusion, GANs, NLP models, and more. A snapshot of what was freely runnable in browser-based GPU compute in 2022, before Hugging Face Spaces simplified deployment further.
Weights & Biases — Fully Connected ML Blog
The Weights & Biases Fully Connected blog covers ML research, tutorials, and MLOps practices. Saved as a resource hub — W&B's writing quality is high, and their reports feature interactive experiment tracking visualizations unavailable elsewhere.
IRA Design: Gradient Illustration Builder
IRA Design is a free gradient illustration builder from Creative Tim — mix and match illustrated components to create custom scenes. A quicker alternative to commissioning custom illustrations for landing pages and marketing.
applied-ml: Papers and Tech Blogs on ML in Production
Eugene Yan's curated list of papers and engineering blog posts from companies sharing real-world ML in production — classification, recommendation, search, NLP, and more. One of the most useful ML reference repositories because it focuses on what actually shipped, not just what was published.
Engineering Manager Resources
Ryan Burgess's curated list of resources for engineering managers — articles, books, podcasts, and tools covering the transition from IC to manager, team building, and technical leadership. A well-maintained starting point for new and experienced EMs.
150+ Best Machine Learning, NLP, and Python Tutorials
Robbie Allen's curated list of 150+ machine learning, NLP, and Python tutorials, organized by topic and difficulty. A high-signal link aggregation for 2020-era ML self-study, with commentary on what each resource covers.
Top Machine Learning Books Recommended by Experts (2020)
MentorCruise's expert-recommended machine learning book list for 2020 — recommendations from actual ML practitioners and researchers, covering foundational math, statistical learning, deep learning, and applied ML.
Speech and Language Processing (Jurafsky & Martin)
The free online draft of Jurafsky and Martin's 'Speech and Language Processing' — the canonical NLP textbook, covering everything from regex to transformers, now in its 3rd edition. Freely available online in draft form and unusually well-written for a technical textbook.
Comprehensive Python Cheatsheet
A comprehensive, single-page Python reference covering everything from basic syntax to advanced features like decorators, generators, and metaclasses. Unusually complete and well-organized for a cheatsheet — more like a structured quick-reference manual.
Machine Learning Roadmap
Daniel Bourke's visual roadmap connecting the core concepts of machine learning, what to learn first, and what tools to use — built as a community-oriented guide for self-learners entering the field in 2020.
Best Data Science Books According to the Experts
Built In's curated list of best data science books by category, with expert commentary on what each covers and who it's for. Spans introductory statistics through advanced ML, with a practical rather than academic bias.
Applied ML: Papers and Blogs on ML in Production (2020)
Eugene Yan's curated GitHub list of papers and blog posts on ML in production — original 2020 bookmark of this now-landmark repository. Covers recommendation, search, NLP, data quality, feature engineering, and more from companies that actually shipped these systems.
Over 150 of the Best Machine Learning, NLP, and Python Tutorials
A 2017 curated list of 150+ ML, NLP, and Python tutorials organized by topic — a snapshot of the best practitioner learning resources from the pre-transformer era. Useful as a historical reference for what the field considered canonical learning material at the time.
Data Science Book Resources (Data Science Central)
Data Science Central's curated page of data science books and reading materials circa 2013 — a community-aggregated list covering statistics, machine learning, programming, and big data. A snapshot of the self-education canon for the emerging data science field.
Shit for Making Websites
A bluntly named web resource aggregator listing tools, fonts, frameworks, and assets for building websites circa 2013. One of many 'awesome list' precursors that collected web development resources before GitHub awesome lists became standard.
Where Can I Find Large Datasets Open to the Public?
A 2013 Quora thread aggregating large public datasets (≥1 GB) for machine learning and data science research. A community-curated snapshot of the open data landscape before Kaggle, HuggingFace Datasets, and government open data portals became the primary discovery mechanisms.
Some Datasets Available on the Web
Data Wrangling Blog's curated list of publicly available datasets for machine learning and data analysis. An early community resource for finding training data before Kaggle and HuggingFace centralized dataset discovery.
Open Culture: Free Educational Content from the World's Best Universities
Open Culture aggregates free educational content from across the web — university courses, e-books, films, language lessons — curated by subject. A lasting resource built on the premise that the internet makes a liberal education genuinely accessible.