Stars
📚 Freely available programming books
A collection of various awesome lists for hackers, pentesters and security researchers
Magnificent app which corrects your previous console command.
The world's simplest facial recognition api for Python and the command line
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
📝A simple and elegant markdown editor, available for Linux, macOS and Windows.
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
A list of semi to fully remote-friendly companies (jobs) in tech.
GoogleTest - Google Testing and Mocking Framework
We write your reusable computer vision tools. 💜
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
The open source developer platform to build AI agents and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integrated platform.
Download market data from Yahoo! Finance's API
Seamless operability between C++11 and Python
PyTorch implementations of Generative Adversarial Networks.
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Instant neural graphics primitives: lightning fast NeRF and more
🧠 Leon is your open-source personal assistant.
Open3D: A Modern Library for 3D Data Processing
PyTorch code and models for the DINOv2 self-supervised learning method.
Code release for NeRF (Neural Radiance Fields)
🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)