Generative Models by Stability AIGenerative Models by Stability AI News June 22, 2023 We are releasing two new diffusion models for research purposes: SD-XL 0.9-base: The base model was trained on a variety of aspect ratios on images with resolution 1024^2. The base model uses OpenCLIP-ViT/G and CLIP-ViT/L for text encoding whereas the refiner model only uses the OpenCLIP model. SD-XL 0.9-refiner: The refiner has been trained to denoise small noise levels of high quality data and as such is …
Algorithmic Trading in Python with Machine Learning Algorithmic Trading in Python with Machine Learning Are you looking to enhance your trading strategies with the power of Python and machine learning? Then you need to check out PyBroker! This Python framework is designed for developing algorithmic trading strategies, with a focus on strategies that use machine learning. With PyBroker, you can easily create and fine-tune trading rules, build powerful models, and gain valuable insights int…
Spin up dev environments in any infra. Dev-environments-as-code like Terraform but for dev environments. Like Codespaces but open-source, client-only and unopinionated: Works with any IDE and lets you use any cloud, kubernetes or just on localhost docker. Website • Quickstart • Documentation • Blog • Twitter • Slack DevPod is a client-only tool to create reproducible developer environments based on a devcontainer.json on any backend. Each developer environment runs in a cont…
Find and fix problems in your JavaScript code. ESLint Website | Configure ESLint | Rules | Contribute to ESLint | Report Bugs | Code of Conduct | Twitter | Discord | Mastodon ESLint is a tool for identifying and reporting on patterns found in ECMAScript/JavaScript code. In many ways, it is similar to JSLint and JSHint with a few exceptions: ESLint uses Espree for JavaScript parsing. ESLint uses an AST to evaluate patterns in code. ESLint is completely pluggable, every single rule is a p…
This repository is a curated collection of the most exciting and influential CVPR 2023 papers. 🔥 [Paper + Code]top cvpr 2023 papers 👋 hello Computer Vision and Pattern Recognition is a massive conference. In 2023 alone, 9155 papers were submitted, and 2359 were accepted. I created this repository to help you and me search for papers worthy of attention. It is a curated collection of the most exciting and influential CVPR 2023 papers. 🗞️ papers title repository / paper …
perfect programming language The Future of Code podcast recently featured DreamBerd. DreamBerd DreamBerd is a perfect programming language. These are its features! When you've finished reading through all the features, check out the examples. Exclamation Marks! Be bold! End every statement with an exclamation mark! print("Hello world")! If you're feeling extra-bold, you can use even more!!! print("Hello world")!!! If you're unsure, that's ok. You can put a que…
[CVPR 2023 Best Paper] Planning-oriented Autonomous Driving Planning-oriented Autonomous Driving Project Page | arXiv | Video | Slides UniAD.mp4 Table of Contents: Highlights News Getting Started Installation Prepare Dataset Evaluation Example GPU Requirements Train/Eval Results and Models TODO List License Citation Highlights 🚘 Planning-oriented philosophy: UniAD is a Unified Autonomous Driving algorithm framework following a plannin…
🔌 Sample Figma plugins.🍱 Figma + FigJam Plugin Samples Sample plugins using the Figma + FigJam Plugin API. To make a feature request, file a bug report, or ask a question about developing plugins, check out the available resources. Getting Started These plugins are written using TypeScript to take advantage of Figma's typed plugin API. Before installing these samples as development plugins, you'll need to compile the code using the TypeScript compiler. Typescript can also watch your cod…
A high-throughput and memory-efficient inference and serving engine for LLMs Easy, fast, and cheap LLM serving for everyone | Documentation | Blog | Discussions | Latest News 🔥 [2023/06] We officially released vLLM! vLLM has powered LMSYS Vicuna and Chatbot Arena since mid April. Check out our blog post. vLLM is a fast and easy-to-use library for LLM inference and serving. vLLM is fast with: State-of-the-art serving throughput Efficient management of attention key and …