A more than minimal JVM written in Go and capable of running Java 17 classes. jacobin A more-than-minimal JVM written in Go. Status Intended feature set: Java 17 functionality, but... No JNI (Oracle intends to replace it; see JEP 389) No security manager (Oracle intends to remove it; see JEP 411) No JIT Somewhat less stringent bytecode verification Does not enforce Java 17's sealed classes What we've done so far and what we need to do: Command-line parsing Gets options from the …
friend.tech mempool sniper friend.tech mempool sniper bot mempool sniper bot for new friend.tech joiners. the story goes: op-stack is supposed to be blind mempool. but base node default config had txpool+ws rpcs open (see the patch notes) friend.tech uses blast-api rpc blast-api used base node default config for their backend nodes important parts friendrekt-rs rust bot for finding new joiners, caching follow count and sniping friendrekt-contracts solidity contract for sniping w/ fail-s…
Reverse engineering of the native Obsidian sync serverRev Obsidian Sync Reverse engineered obsidian sync server (NOT OFFICIAL) Warning This is an experimental proof of concept. It was written hastily without knowledge of the real internal mechanisms. Expect a thousand bugs and inefficiencies. This is an incomplete reproduction of the server. Many features aren't supported yet. I'm not responsible for any data loss or corruption. Use at your own risk. Note If you have the time and energy…
The official repo of Qwen-VL (通义千问-VL) chat & pretrained large vision language model proposed by Alibaba Cloud. Qwen-VL 🤖 | 🤗 ｜ Qwen-VL-Chat 🤖 | 🤗 ｜ Demo ｜ Report | Discord 中文 ｜ English ｜ 日本語 Qwen-VL (Qwen Large Vision Language Model) is the multimodal version of the large model series, Qwen (abbr. Tongyi Qianwen), proposed by Alibaba Cloud. Qwen-VL accepts image, text, and bounding box as inputs, outputs text and bounding box. The features of Qwen-V…
Inference code for CodeLlama modelsIntroducing Code Llama Code Llama is a family of large language models for code based on Llama 2 providing state-of-the-art performance among open models, infilling capabilities, support for large input contexts, and zero-shot instruction following ability for programming tasks. We provide multiple flavors to cover a wide range of applications: foundation models (Code Llama), Python specializations (Code Llama - Python), and instruction-following models (Code …
Visual Instruction Tuning: Large Language-and-Vision Assistant built towards multimodal GPT-4 level capabilities.🌋 LLaVA: Large Language and Vision Assistant Visual instruction tuning towards large language and vision models with GPT-4 level capabilities. [Project Page] [Paper] [Demo] [Data] [Model Zoo] Visual Instruction Tuning Haotian Liu*, Chunyuan Li*, Qingyang Wu, Yong Jae Lee (*Equal Contribution) Generated by GLIGEN via "a cute lava llama with glasses" and box prompt…
A fast multi-producer, multi-consumer lock-free concurrent queue for C++11moodycamel::ConcurrentQueue An industrial-strength lock-free queue for C++. Note: If all you need is a single-producer, single-consumer queue, I have one of those too. Features Knock-your-socks-off blazing fast performance. Single-header implementation. Just drop it in your project. Fully thread-safe lock-free queue. Use concurrently from any number of threads. C++11 implementation -- elements are moved (instead of copie…
Python in Microsoft ExcelPython in Excel Python in Excel is a new feature that allows you to natively combine Python and Excel analytics within the same workbook. With Python in Excel, you can type Python code directly into a cell, the Python calculations run in the Microsoft Cloud, and your results are returned to the worksheet, including plots and visualizations. Python in Excel leverages Anaconda Distribution for Python running in Azure, which includes the most popular Python libraries (e.g…
🧑✈️ GPT PILOT GPT Pilot can code out the entire app as you oversee the code being written This is our try to see how can GPT-4 be utilized to generate working apps and to my surprise, it works quite well. Detailed explanation about the concept behind GPT Pilot can be found in this blog post. Main pillars of GPT Pilot: For AI to create a fully working app, a developer needs to be involved in the process of app creation. They need to be able to change the code at any moment and GPT Pilot needs…