multi-modal

VS Code extension that streamlines development workflows through AI-powered task execution, intelligent file management, and automated code generation. Built on Cline, it integrates with various LLMs to enhance productivity and code quality while simplifying complex development tasks.

Implementation of the transformer from the paper: "Real-World Humanoid Locomotion with Reinforcement Learning"

[ICLR 2024 Spotlight] This is the official code for the paper "SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training"

Enjoy easier conversations with LLM

Stable Diffusion with Text-to-Image and Image-to-Text

[CVPR 2025] Enhanced OoD Detection through Cross-Modal Alignment of Multi-modal Representations

[ACL-IJCNLP 2021] Self-Supervised Multimodal Opinion Summarization

A repository of curated use cases, articles, blogs, videos on how companies are using Artificial Intelligence and Machine Learning.

using mulimodal RAG to query texts, images and tables from pdf for QA