Lists (3)
Sort Name ascending (A-Z)
Stars
[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving
Free MLOps course from DataTalks.Club
📋 A list of open LLMs available for commercial use.
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
PyScript is an open source platform for Python in the browser. Try PyScript: https://pyscript.com Examples: https://tinyurl.com/pyscript-examples Community: https://discord.gg/HxvBtukrg2
A set of beautifully-designed, accessible components and a code distribution platform. Works with your favorite frameworks. Open Source. Open Code.
Financial data platform for analysts, quants and AI agents.
Code to accompany "A Method for Animating Children's Drawings of the Human Figure"
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
Microsoft Quantum Development Kit Samples
The azure-quantum python package submits jobs to the Azure Quantum service.
Microsoft Quantum Computing Libraries for noncommercial use
Source code for Twitter's Recommendation Algorithm
Emoji for everyone. https://twemoji.twitter.com/
Best and simplest tool for website change detection, web page monitoring, and website change alerts. Perfect for tracking content changes, price drops, restock alerts, and website defacement monito…
Source code for the X Recommendation Algorithm
🤖 Build voice-based LLM agents. Modular + open source.
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
A topic-centric list of HQ open datasets.
Reverse engineered API of Microsoft's Bing Chat AI
Open-source Windows and Office activator featuring HWID, Ohook, TSforge, and Online KMS activation methods, along with advanced troubleshooting.
Integrate cutting-edge LLM technology quickly and easily into your apps
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Examples and guides for using the OpenAI API
🔒 A collection of cheatsheets for various infosec tools and topics.
Papers from the computer science community to read and discuss.