Explore projects

https://github.com/InternLM/InternLM-Math State-of-the-art bilingual open-sourced Math reasoning LLMs.

A curated list of resources related to Litestar.

https://github.com/bminixhofer/zett Code for Zero-Shot Tokenizer Transfer arxiv.org/abs/2405.07883

https://github.com/dr5hn/countries-states-cities-database 🌍 Discover our global repository of countries, states, and cities! 🏙️ Get comprehensive data in JSON, SQL, PSQL, XML, YAML, and CSV formats. Access ISO2, ISO3 codes, country code, capital,

dRPC node for Any Naming System

https://github.com/ggogel/SocialMediaDownloadMaubot Share social media content directly in your Matrix room with this Maubot plugin! Just paste a link, and it will download and post the content for everyone to see.

https://github.com/Awesome-Technologies/synapse-admin Admin console for synapse Matrix homeserver

https://github.com/anyproto/any-ns

Smart contracts/frontend for Any Naming System

https://github.com/williamkray/maubot-join stupid-simple maubot plugin to allow specific users to get a bot to join another room

🔧🔗https://github.com/forhaoliu/tux

Tools and Utils for Experiments (TUX)

https://github.com/princeton-nlp/CharXiv CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

https://github.com/princeton-nlp/LESS [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning

🔧🔗https://github.com/FoundationVision/LlamaGen

Autoregressive Model Beats Diffusion: 🦙 Llama for Scalable Image Generation 🔗arxiv.org/abs/2406.06525

🔧🔗https://github.com/FoundationVision/VAR [NeurIPS 2024 Oral][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An ultra-simple, user-friendly yet state-of-the-art codebase for autoregressive image generation!

🔧🔗https://github.com/FoundationVision/OmniTokenizer OmniTokenizer: one model and one weight for image-video joint tokenization.

🔧🔗https://github.com/FoundationVision/vaex

🔥stable, simple, state-of-the-art VQVAE toolkit & cookbook