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This project uses the OpenAI GPT-3 API (specifically, text-davinci-003) and Vercel Edge functions with streaming. It generates 5 cinema recommendations based on the form and user input, sends it to the GPT-3 API via a Vercel Edge function, then streams the response back to the application.
A tmux plugin to toggle scratch popup sessions for quick note-taking and temporary work.
ESLint rule to make function signatures better. Currently has only one rule: prevent functions from having too many arguments with the same type.
Paper · arXiv · Project Page · 5-min Video
Auto Night-mode for Linux, it supports popular Desktops like KDE, GNOME, Budgie and also themes your favourite editors like VSCode or Atom.
A dataset of 2D imagery, 3D point cloud data, and 3D vehicle bounding box labels all generated using the Grand Theft Auto 5 game engine. The dataset contains image and depth map data captured at 1680x1050 resolution and oriented 3D bounding box labels of all vehicles. It is 55GB in total.
This is the UDPipe 2, a POS tagger, lemmatizer and dependency parser.
Xamarin Test Cloud Report
0. The CUDA and Pytorch version that is used for this work: ~~~ 'CUDA==10.0', 'torch==1.1.0', 'CUDNN==7.5.0' ~~~ Warning: We tried CUDA11.0+Torch1.7.1 on RTX3090, the AP performance is significantly lower than the aforementioned environment setup.