Collection of resources on the applications of Large Language Models (LLMs) in Audio AI.

👁️ + 💬 + 🎧 = 🤖 Curated list of top foundation and multimodal models! [Paper + Code + Examples + Tutorials]

MOMENT: A Family of Open Time-series Foundation Models

Official repository for "CLIP model is an Efficient Continual Learner".

Google Cloud Medical Imaging ML Development Accelerators

ACM Multimedia 2023 (Oral) - RTQ: Rethinking Video-language Understanding Based on Image-text Model

This repository is for profiling, extracting, visualizing and reusing generative AI weights to hopefully build more accurate AI models and audit/scan weights at rest to identify knowledge domains for risk(s).

In this course navigates through the LLMOps pipeline, enabling you to preprocess training data for supervised fine-tuning and deploy custom Large Language Models (LLMs).

We introduce Weight Sharing Attention to improve state representation in Reinforcement Learning. By combining embeddings from different Foundational Models, WSA enhances learning efficiency. Tested on Atari games, it performs on par with advanced methods and addresses issues like out-of-distribution data.

Short course's of deeplearning.ai

A collection of medical imaging and machine learning projects, including foundational segmentation models.

Vaayushop Foundational models for Finance & DIY model for corporates

Glycan Informed Foundational Framework for Learning Abstract Representations, based on Combinatorial Complexes and Heterogeneous GNNs