Awesome List Updates on Feb 16, 2025

9 awesome lists updated today.

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1. Awesome Theoretical Computer Science

Cheat Sheets / Lecture Videos Playlist

• Useful Inequalities Cheat Sheet

2. Awesome Angular

Exercises / Google Developer Experts

• angular-debug-quest (⭐34) - Sharpen your skills at fixing bugs in Angular applications for a better understanding of the framework.

Updating / Google Developer Experts

• Angular Caniuse - Track Angular features from preview to stable stages.

3. Free for Dev

APIs, Data, and ML

• PDFBolt - Developer-focused PDF generation API designed with privacy in mind. It offers Stripe-inspired documentation and includes 500 free PDF conversions per month.

4. Awesome Jax

Models and Projects / Flax

• DeepSeek-R1-Flax-1.5B-Distill (⭐20) - Flax implementation of DeepSeek-R1 1.5B distilled reasoning LLM.

5. Awesome Javascript

Type Checkers

• Zod (⭐39k) - TypeScript-first schema validation with built-in static type inference.

Generators / Other

• Astro (⭐52k) - The web framework for content-driven websites.

ORM / Other

• Prisma (⭐43k) Next-generation ORM for Node.js & TypeScript | PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB and CockroachDB.

• Sequelize (⭐30k) Feature-rich ORM for modern Node.js and TypeScript | PostgreSQL, MySQL, MariaDB, SQLite, MS SQL Server, Snowflake, Oracle DB...

• Mongoose (⭐27k) MongoDB object modeling designed to work in an asynchronous environment.

• TypeORM (⭐36k) ORM for TypeScript and JavaScript, Works in NodeJS, Browser, Ionic, Cordova and Electron platforms.

• Drizzle ORM (⭐29k) Headless TypeScript ORM with a head. Runs on Node, Bun and Deno.

• Kysely (⭐12k) A type-safe typescript SQL query builder.

• Knex (⭐20k) A query builder for PostgreSQL, MySQL, CockroachDB, SQL Server, SQLite3 and Oracle, designed to be flexible, portable, and fun to use.

• MikroORM (⭐8.4k) TypeScript ORM for Node.js based on Data Mapper, Unit of Work and Identity Map patterns.

6. Awesome Cl

Java

• open-ldk (⭐219) - A Java JIT Compiler and Runtime in Common Lisp. GPL3.0. (Work In Progress)
  • "bridges the gap between Java and Common Lisp by incrementally translating Java bytecode into Lisp, which is then compiled into native machine code for execution. This unique approach allows Java classes to be seamlessly mapped to Common Lisp Object System (CLOS) classes, enabling effortless integration between Java and Common Lisp codebases."
  • "provides a practical solution for integrating Java libraries into a Lisp-based workflow without the need for an out-of-process Java runtime environment."

7. Awesome Go

Meetups / Libraries for creating HTTP middlewares

• Go Ireland - Dublin

8. Awesome Agi Cocosci

Bayesian Modeling / Nonparametric Model

• The Indian Buffet Process: An Introduction and Review - Journal of Machine Learning Research, 2011. [All Versions]. The Indian buffet process is a stochastic process defining a probability distribution over equivalence classes of sparse binary matrices with a finite number of rows and an unbounded number of columns. This distribution is suitable for use as a prior in probabilistic models that represent objects using a potentially infinite array of features, or that involve bipartite graphs in which the size of at least one class of nodes is unknown. This work gives a detailed derivation of this distribution, and illustrate its use as a prior in an infinite latent feature model. The authors then review recent applications of the Indian buffet process in machine learning, discuss its extensions, and summarize its connections to other stochastic processes.

• Nonparametric Bayesian Logic - UAI'05, 2005. [All Versions]. [Preprint]. The Bayesian Logic (BLOG) language was recently developed for defining first-order probability models over worlds with unknown numbers of objects. It handles important problems in AI, including data association and population estimation. This paper extends BLOG by adopting generative processes over function spaces — known as nonparametrics in the Bayesian literature. This work introduces syntax for reasoning about arbitrary collections of objects, and their properties, in an intuitive manner. By exploiting exchangeability, distributions over unknown objects and their attributes are cast as Dirichlet processes, which resolve difficulties in model selection and inference caused by varying numbers of objects.

9. Awesome European Tech

Index / Browsers

• Vivaldi 🇳🇴

Index / Cloud

• Peergos 🇬🇧 - A p2p, secure file storage, social network and application protocol

Index / Search engine

• Mojeek 🇬🇧

Index / VPN

• IVPN 🇬🇧

• NordVPN 🇱🇹

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