- Berkeley
- https://www.lavague.ai/
- @dhuynh95
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Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
Local UI to run and train LLMs and diffusion models, including Qwen3.8, Kimi K3, MiniMax-H3, Gemma 4, DeepSeek-V4, FLUX and more.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Convert PDF to markdown + JSON quickly with high accuracy
DSPy: The framework for programming—not prompting—language models
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
OCR, layout analysis, reading order, table recognition in 90+ languages
The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
Supercharge Your LLM Application Evaluations 🚀
Python version of the Playwright testing and automation library.
Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
InstantID: Zero-shot Identity-Preserving Generation in Seconds 🔥
Pioneering Automated GUI Interaction with Native Agents
Large Language Model Text Generation Inference
Perform data science on data that remains in someone else's server
LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath
The official repo for “Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting”, ACL, 2025.
LMDeploy is a toolkit for compressing, deploying, and serving LLMs.
Large World Model -- Modeling Text and Video with Millions Context
Adding guardrails to large language models.
[EMNLP'23, ACL'24] To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.
Large Action Model framework to develop AI Web Agents