SAM-PT: Extending SAM to zero-shot video segmentation with point-based tracking.Segment Anything Meets Point Tracking Segment Anything Meets Point Tracking Frano Rajič, Lei Ke, Yu-Wing Tai, Chi-Keung Tang, Martin Danelljan, Fisher Yu ETH Zürich, HKUST, EPFL We propose SAM-PT, an extension of the Segment Anything Model (SAM) for zero-shot video segmentation. Our work offers a simple yet effective point-based perspective in video object segmentation research. For more details, refer to our p…
第一个开源的基于QLoRA的33B中文大语言模型First QLoRA based open source 33B Chinese LLMAnima 第一个开源的基于QLoRA的33B中文大语言模型 the First QLoRA based 33B fully open-source Chinese LLM Read this in English. AI Community从来都是非常开放的，AI发展到今天，离不开很多以前的重要开源工作，开放共享的Paper，或者的开源数据和代码。我们相信AI的未来也一定是开放的。希望能为开源社区做一些贡献。 为什么33B模型很重要？QLoRA是个Game Changer？ 之前大部分开源可finetune的模型大都是比较小的模型7B或者13B，虽然可以在一些简单的chatbot评测集上，通过finetune训练有不错的表现。但是由于这些模型规模还是有限，LLM核心的reasoning的能力还是相对比较弱。这就是为什么很多这种小规模的模型在实际应用的场景表现像是个玩具。如这个工作中的论述：chatbot评测集比较简单，真正比较考验模…
The official GitHub page for the survey paper "A Survey of Large Language Models".LLMSurvey A collection of papers and resources related to Large Language Models. The organization of papers refers to our survey "A Survey of Large Language Models". Please let us know if you find out a mistake or have any suggestions by e-mail: batmanfly@gmail.com (we suggest ccing another email francis_kun_zhou@163.com meanwhile, in case of any unsuccessful delivery issue.) If you find our survey usefu…
An automated price tracker that uses bright data, playwright, react and flask.Project Information This project provides a user interface to interact with an automated price tracking web scraper. Currently the tracker scrapes amazon.ca, but could be configured to scrape multiple sources. Libraries/Frameworks/Modules This project uses: React Flask Playwright Bright Data (Web Scraping Browser) Using the Scraper Install all dependencies, create the auth.json file, start the flask backend, run the…
Rust full node implementation of the Fuel v2 protocol.Fuel Client Fuel client implementation. Contributing If you are interested in contributing to Fuel, see our CONTRIBUTING.md guidelines for coding standards and review process. Before pushing any changes or creating pull request please run source ci_checks.sh. Building System Requirements There are several system requirements including clang. MacOS brew update brew install cmake brew install protobuf Debian apt update apt install -y cmake…
🌴 Empowering everyone to build reliable and efficient smart contracts.Sway Sway is a language developed for the Fuel blockchain. It is heavily inspired by Rust and aims to bring modern language development and performance to the blockchain ecosystem. Documentation For user documentation, including installing release builds, see the Sway Book: https://fuellabs.github.io/sway/latest/. Also view the technical reference for the Sway programming language: https://fuellabs.github.io/sway/master/r…
纯c++的全平台llm加速库，支持python调用，chatglm-6B级模型单卡可达10000+token / s，支持glm, llmam, moss基座，手机端流畅运行fastllm 介绍 fastllm是纯c++实现，无第三方依赖的高性能大模型推理库 6~7B级模型在安卓端上也可以流畅运行 部署交流QQ群： 831641348 | 快速开始 | 模型获取 | 开发计划 | 功能概述 🚀 纯c++实现，便于跨平台移植，可以在安卓上直接编译 🚀 ARM平台支持NEON指令集加速，X86平台支持AVX指令集加速，NVIDIA平台支持CUDA加速，各个平台速度都很快就是了 🚀 支持浮点模型（FP32), 半精度模型(FP16), 量化模型(INT8, INT4) 加速 🚀 支持Batch速度优化 🚀 支持流式输出，很方便实现打字机效果 🚀 支持并发计算时动态拼Batch 🚀 支持python调用 🚀 前后端分离设计，便于支持新的计算设备 🚀 目前支持ChatGLM模型，各种LLAMA模型(ALPACA, VICUNA等)，BAICHUAN模型，MOSS模型 两行代码加速 （测试中…
The Concise TypeScript Book: A Concise Guide to Effective Development in TypeScript. Free and Open Source.The Concise TypeScript Book The Concise TypeScript Book provides a comprehensive and succinct overview of TypeScript's capabilities. It offers clear explanations covering all aspects found in the latest version of the language, from its powerful type system to advanced features. Whether you're a beginner or an experienced developer, this book is an invaluable resource to enhance you…
📚 Tech blogs & talks by companies that run Kafka in productionkafka-in-production Curious to know how big companies are operating their kafka fleet in production? This might be the repo for you: What are the issues encountered when running kafka in production? 📝 How other organisations attempt to solve the issues? 🛠️ Why certain approaches are adopted over others? ⚖️ What can we learn for our own use case? Table of Contents Adobe Agoda Airbnb Apple Appsflyer Bloomberg Bolt Booking.com Bre…