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Collection of experiments, paper implementations, tests. etc about generative AI to refresh my memory and learn new things
Meal Planner Assisted by Machine Learning
Implementation of the Ethereum Virtual Machine in python.
A Rust implementation of Glidesort, my stable adaptive quicksort/mergesort hybrid sorting algorithm.
A playbook for systematically maximizing the performance of deep learning models.
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
Lightning β‘οΈ fast forecasting with statistical and econometric models.
Incredibly fast JavaScript runtime, bundler, test runner, and package manager β all in one
Python code for "Probabilistic Machine learning" book by Kevin Murphy
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
TensorFlow code and pre-trained models for BERT
The Linux Kernel Module Programming Guide (updated for 5.0+ kernels)
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
An authentication system built with Ceramic & self.id
π Geometric Computer Vision Library for Spatial AI
Firefox Add-on that lets you open automatically managed disposable containers
Build Better Websites. Create modern, resilient user experiences with web fundamentals.
β Possibly the smallest compiler ever
Unified developer tools for JavaScript, TypeScript, and the web
The place where I, DandelionSprout, store my web filter lists for countless topics, including my Nordic adblock list. As simple as that, really.
A Firefox extension to protect from being fingerprinted.
Defines a common protocol for language servers.
Firefox privacy, security and anti-tracking: a comprehensive user.js template for configuration and hardening
