Showing 1-17 of 17 projects
Fine-tuning framework for 100+ LLMs & VLMs
A comprehensive collection of resources for anomaly detection, including books, papers, videos, and toolboxes.
Easily fine-tune, evaluate and deploy open-source large language models like GPT-OSS and Llama.
A comprehensive SDK for running frontier LLMs and VLMs on multiple hardware platforms with day-0 model support.
A Python-based library for solving visual understanding tasks using reinforced visual-linguistic models (VLMs).
Training small VLMs with Python
VILA is a family of state-of-the-art vision language models (VLMs) for diverse multimodal AI tasks across the edge, data center, and cloud.
High-performance Inference and Deployment Toolkit for LLMs and VLMs
An awesome curated list of medical-related AI/ML resources including LLMs, datasets, and benchmarks.
A streamlined framework for efficient evaluation and performance benchmarking of large models like LLMs and VLMs.
An end-to-end multimodal SVG generator that leverages pre-trained Vision-Language Models to create complex and detailed SVGs.
A tutorial on using large language models (LLMs) and vision language models (VLMs) for various AI-powered coding tasks.
An on-premises, OCR-free unstructured data extraction, markdown conversion and benchmarking toolkit.
An open-source framework for AI-powered process automation with support for large language, action, and multimodal models.
A collection of novel jailbreak methods for large language models (LLMs) focused on privacy and safety.
An AI inference operator for Kubernetes that makes it easy to serve ML models in production.
This Jupyter Notebook series covers the fundamentals of NLP and Computer Vision, leading to cutting-edge Vision-Language Models.
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