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A curated list of resources for using LLMs to develop more competitive grant applications.
Enable non-Ubiquiti cameras to work with Unifi NVR
Header-only C++/python library for fast approximate nearest neighbors
Send push notifications to your phone or desktop using PUT/POST
Port of ZXing (https://github.com/zxing/zxing) core to pure Go.
Golang bindings for the Telegram Bot API
Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.
Conversational RPA SDK for Chatbot Makers. Join our Discord: https://discord.gg/7q8NBZbQzt
The OpenTF Manifesto expresses concern over HashiCorp's switch of the Terraform license from open-source to the Business Source License (BSL) and calls for the tool's return to a truly open-source …
A curated list of awesome ChatGPT related projects.
A community fork of a language named after a plant fungus. All of the memory-safe features you love, now with 100% less bureaucracy!
A collection of awesome adblockers and related tools.
This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.
Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.
OpenAI ChatGPT, GPT-3, GPT-4, DALL·E, Whisper API wrapper for Go
🤱🏻 Turn any webpage into a desktop app with Rust. 🤱🏻 利用 Rust 轻松构建轻量级多端桌面应用
An open source list of developer questions to ask prospective employers
A memory safe implementation of sudo and su.
Being laid off can be overwhelming and it's easy to miss important tasks. This runbook will help make sure you stay on track.
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
Prompt 工程师利器,可同时比较多个 Prompts 在多个 LLM 模型上的效果
Large language model evaluation and workflow framework from Phase AI.
Large Language Model Text Generation Inference
Dispatch and distribute your ML training to "serverless" clusters in Python, like PyTorch for ML infra. Iterable, debuggable, multi-cloud/on-prem, identical across research and production.