dgg-place Chrome setup: Install the Violentmonkey or Tampermonkey addon Visit https://rplacecdn.destiny.gg/dgg-place.user.js in a new tab Click the install button Visit /r/place and refresh the page to get the latest template Firefox setup: Install the Violentmonkey or Tampermonkey addon Visit https://rplacecdn.destiny.gg/dgg-place.user.js in a new tab Click the install button Visit /r/place and refresh the page to get the latest template I need help maintaining the template, so let me k…
Iggy is the persistent message streaming platform written in Rust, supporting QUIC, TCP and HTTP transport protocols, capable of processing millions of messages per second.Iggy Website | Getting started | Documentation | Crates Iggy is the persistent message streaming platform written in Rust, supporting QUIC, TCP (custom binary specification) and HTTP (regular REST API) transport protocols. Currently, running as a single server, it allows creating streams, topics, partitions and segments, a…
Laravel wrapper for the NativePHP frameworkLaravel wrapper for the NativePHP framework. Write native desktop applications using PHP. To learn more, visit the official website. Documentation You can find the NativePHP documentation on the website. Check out the Getting Started page for a quick overview. Getting Started Installation Configuration Application Lifecycle Contributing Guide Changelog Please see CHANGELOG for more information on what has changed recently. Contributing Please see…
https://youtu.be/iScy18pVR58Chess Coding Challenge (C#) Welcome to the chess coding challenge! This is a friendly competition in which your goal is to create a small chess bot (in C#) using the framework provided in this repository. Once submissions close, these bots will battle it out to discover which bot is best! I will then create a video exploring the implementations of the best and most unique/interesting bots. I also plan to make a small game that features these most interesting/challeng…
🎓 LLM Drifts: How Is ChatGPT’s Behavior Changing over Time? Large language models (LLM) services such as GPT-4 and GPT-3.5 are widely being used. However, when and how these models are updated over time is opaque. Towards filling in this gap, this repository contains (i) a diverse set of datasets, and (ii) generations from popular LLMs (including GPT-4 and GPT-3.5) on these datasets over time. 🔍 Main Findings Figure 1: Performance of the March 2023 and June 2023 versions of GPT-4 and GP…
A tiny JVM written in Rust. Learning projectRJVM This project is an attempt to write a minimal JVM 7 using Rust. Important note: this is a hobby project, built for fun and for learning purposes. In particular, it is my first real program in Rust and I've used to learn the language - thus, I'm sure some parts of the code are not very "idiomatic" Rust since I'm just learning the language. The code quality is definitely not production ready - there are not enough tests, there i…
An implementation of "Retentive Network: A Successor to Transformer for Large Language Models"RetNet An implementation of Retentive Network: A Successor to Transformer for Large Language Models in PyTorch. About this repository This is a minimal, pure pytorch implementation of RetNet. RetNet paper: Retentive Network: A Successor to Transformer for Large Language Models in PyTorch. The contributors(s) to this repository are not authors of the original paper. All credit for the idea and formulati…
Running Stable Diffusion on a RPI Zero 2 (or in 260MB of RAM)OnnxStream The challenge is to run Stable Diffusion, which includes a large transformer model with almost 1 billion parameters, on a Raspberry Pi Zero 2, which is a microcomputer with 512MB of RAM, without adding more swap space and without offloading intermediate results on disk. The recommended minimum RAM/VRAM for Stable Diffusion is typically 8GB. Generally major machine learning frameworks and libraries are focused on minimizing …