SoTA LLM for converting natural language questions to SQL queriesDefog SQLCoder Defog's SQLCoder is a state-of-the-art LLM for converting natural language questions to SQL queries. Interactive Demo | 🤗 HF Repo | ♾️ Colab | 🐦 Twitter TL;DR SQLCoder is a 15B parameter model that outperforms gpt-3.5-turbo for natural language to SQL generation tasks on our sql-eval framework, and significantly outperforms all popular open-source models. It also significantly outperforms text-davinci-003, a mod…
🖼️ Create beautiful maps from OpenStreetMap data in a streamlit webappprettymapp 🖼️ Prettymapp is a webapp and Python package to create beautiful maps from OpenStreetMap data 🎈 Try it out here: prettymapp on streamlit 🎈 Based on the prettymaps project Prettymapp is based on a rewrite of the fantastic prettymaps project by @marceloprates. All credit for the original idea, designs and implementation go to him. The prettymapp rewrite focuses on speed and adapted configurati…
An easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models. 👋 hello Roboflow Inference is an opinionated tool for running inference on state-of-the-art computer vision models. With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments. Inference supports object detection, classification, and instance segmentation…
2024 New Grad Tech Jobs by Simplify Use this repo to share and keep track of entry-level software, tech, CS, PM, quant jobs for new graduates. ⚠️ Please note that this repository is exclusively for roles in the United States, Canada, or Remote positions 🌎 🙏 Contribute by submitting an issue! See the contribution guidelines here! 🙏 👀 Looking for Summer 2024 Tech Internships? 🥳 We're back! Check it out here: Summer-2024-Tech-Internships ✨ Check it out for summer software, tech, CS, PM, and …
Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"Graph of Thoughts (GoT) This is the official implementation of Graph of Thoughts: Solving Elaborate Problems with Large Language Models. This framework gives you the ability to solve complex problems by modeling them as a Graph of Operations (GoO), which is automatically executed with a Large Language Model (LLM) as the engine. This framework is designed to be flexible and extensible, allow…
[ICCV 2023] StableVideo: Text-driven Consistency-aware Diffusion Video EditingStableVideo StableVideo: Text-driven Consistency-aware Diffusion Video Editing Wenhao Chai, Xun Guo, Gaoang Wang, Yan Lu ICCV 2023 boat.mp4 car.mp4 blackswan.mp4 VRAM requirement VRAM (MiB) float32 29145 amp 23005 amp + cpu 17639 amp + cpu + xformers 14185 cpu: use cpu cache as ControlNet…
朱雀仿宋：开源正文仿宋字库计划朱雀仿宋 「朱雀仿宋」是璇玑造字的开源仿宋字体计划，志在最终提供高质量的、支持多语言的正文仿宋解决方案。 仿宋作为「宋黑仿楷」中文四大基础字体之一，长期缺乏开源许可证下的选择。我们希望「朱雀仿宋」可以弥补这一空缺，为开源软件与 TeX 社区贡献一份力。 上世纪初，仿宋活字一度品类繁盛，开发、应用风行一时。然而时过境迁，市面上的仿宋最终收敛于「华丰真宋」一系，这也是今天大多数人所熟悉的仿宋样貌。「朱雀仿宋」则以民国仿宋活字「南宋」为蓝本，在满足现代排印需求的前提下，尝试为正文仿宋字库带来一缕新鲜空气。 当前我们发布的「朱雀仿宋」仍为「预览测试版」，尚处于项目早期阶段；无论是设计风格、字数，还是字形、排版质量，都不代表正式版情况。因此， 「朱雀」的未来，由你定义 在开发「朱雀」的过程中，我们陷入了选择困难。于是，我们决定提早发布测试版，倾听「朱雀仿宋」的用户想要什么。我们真诚地邀请您拨冗填写【此问卷】。 如果您有任何问题、意见建议、合作意向，我们也欢迎您加入「朱雀仿宋反馈」微信群；或移步 Issues 提出。 璇玑正在尝试一种全新中文字库设计模…
Imersão Fullcycle 14 - Sistema de rastreamento de veículos Participe gratuitamente: https://imersao.fullcycle.com.br/ Sobre o repositório Esse repositório contém todo código utilizado durante as aulas para referência. Faça seu fork e também nos dê uma estrelinha para nos ajudar a divulgar o projeto. As instruções de instalações estão no README.md de cada projeto. Os slides estão na raiz deste projeto. Se tiver dificuldades de como conectar o Kafka nos microsserviços Nesta aula, o professor Lui…
Foundational Models for State-of-the-Art Speech and Text Translation SeamlessM4T SeamlessM4T is designed to provide high quality translation, allowing people from different linguistic communities to communicate effortlessly through speech and text. SeamlessM4T covers: 📥 101 languages for speech input. ⌨️ 96 Languages for text input/output. 🗣️ 35 languages for speech output. This unified model enables multiple tasks without relying on multiple separate models: Speech-to-speech translation (S2…