Advent of Code Solutions for the Advent of Code Answers are organized by year
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Connect, collaborate, and grow with a community of TypeScript developers 👋 About Us TypeScript's typing system can be very powerful when used correctly. The problem is that most developers or engineers don't use much more than they have to in their day to day. Inevitably a moment comes where their knowledge just doesn't cut it for a use case, and they have to reach out to a community for help. We aim to be not only the community but the platform they can u…
Harpoon Getting you where you want with the fewest keystrokes. ⇁ TOC The Problems The Solutions Installation Getting Started API Config Settings Contribution Social Note to legacy Harpoon 1 users ⇁ The Problems You're working on a codebase. medium, large, tiny, whatever. You find yourself frequenting a small set of files and you are tired of using a fuzzy finder, :bnext & :bprev are getting too repetitive, alternate file doesn't quite cut it, etc etc. You want to execute …
Swift starter project for solving Advent of Code challenges.Advent of Code Swift Starter Project Daily programming puzzles at Advent of Code, by Eric Wastl. This is a small example starter project for building Advent of Code solutions. Usage Swift comes with Xcode, or you can install it on a supported macOS, Linux, or Windows platform. If you're using Xcode, you can open this project by choosing File / Open and select the parent directory. If you prefer the command line, you can run the te…
Build better UIs faster.FastUI Please note: FastUI is still an active work in progress, do not expect it to be complete. The Principle (short version) You can see a simple demo of an application built with FastUI here. FastUI is a new way to build web application user interfaces defined by declarative Python code. This means: If you're a Python developer — you can build responsive web applications using React without writing a single line of JavaScript, or touching npm. If you're a…
5X faster 50% less memory LLM finetuning 80% faster 50% less memory local QLoRA finetuning Manual autograd engine - hand derived backprop steps. QLoRA / LoRA 80% faster, 50% less memory. All kernels written in OpenAI's Triton language. 0% loss in accuracy - no approximation methods - all exact. No change of hardware necessary. Supports NVIDIA GPUs since 2018+. CUDA 7.5+. Tesla T4, RTX 20, 30, 40 series, A100, H100s Flash Attention support via Xformers. Supports 4bit and 16bit LoRA f…
Introduction Laravel Pulse is a real-time application performance monitoring tool and dashboard for your Laravel application. Official Documentation Documentation for Pulse can be found on the Laravel website. Contributing Thank you for considering contributing to Pulse! The contribution guide can be found in the Laravel documentation. Code of Conduct In order to ensure that the Laravel community is welcoming to all, please review and abide by the Code of Conduct. Security Vulnerabilitie…
ComfyUI IPAdapter plus ComfyUI reference implementation for IPAdapter models. IPAdapter implementation that follows the ComfyUI way of doing things. The code is memory efficient, fast, and shouldn't break with Comfy updates. Important updates 2023/11/29: Added unfold_batch option to send the reference images sequentially to a latent batch. Useful for animations. 2023/11/26: Added timestepping. You may need to delete the old nodes and recreate them. Important: For this to work you need to up…