vl-ablation

The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, and more.

A game theoretic approach to explain the output of any machine learning model.

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

?? Build multimodal AI applications with cloud-native stack

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

:sparkles::sparkles:Latest Advances on Multimodal Large Language Models

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

Use PEFT or Full-parameter to finetune 450+ LLMs (Qwen2.5, InternLM3, GLM4, Llama3.3, Mistral, Yi1.5, Baichuan2, DeepSeek-R1, ...) and 150+ MLLMs (Qwen2.5-VL, Qwen2-Audio, Llama3.2-Vision, Llava, InternVL2.5, MiniCPM-V-2.6, GLM4v, Xcomposer2.5, Yi-VL, DeepSeek-VL2, Phi3.5-Vision, GOT-OCR2, ...).