Explore live open-source projects and AI models.

We develop a black-box adversarial attack method against potential deepfake models based on image-to-image translation GANs utilizing 3 optimization tricks.

This project demonstrates a systematic approach to model optimization, showcasing the importance of fine-tuning in the context of model pruning. It provides a foundation for further research and development in the field of efficient deep learning model deployment.

The Quantum Counselor for portfolio investment is a tool with two main objectives: forecasting the trend of assets price and optimizing portfolio returns both using quantum computing techniques. For the case of the forecasting method, we use a hybrid method that combines a deep learning model of ... Read more

A Blender add-on that optimizes AI-generated 3D models for web and real-time use.

MLX Model Quantization Toolkit - Comprehensive collection of Jupyter notebooks for converting and quantizing large language models using Apple's MLX framework, optimized for Apple Silicon devices.

The official repository for Trust-Region Adaptive Policy Optimization (TRAPO) – a novel hybrid framework designed to enhance large language models' reasoning abilities by interleaving SFT and RL within each training instance.

A MkDocs plugin that adds a "Copy to LLM" button to your documentation, making it easy to copy code blocks and entire pages in formats optimized for Large Language Models (LLMs).

To accurately predict the regional spread of COVID-19 infection, this study proposes a novel hybrid model which combines a Long short-term memory (LSTM) artificial recurrent neural network with dynamic behavioral models. Several factors and control strategies affect the virus spread, and the unce... Read more

This repository serves as a central hub for discovering tools and services focused on automated prompt engineering. Whether you're looking to optimize your prompts for generative AI models or enhance the capabilities of your agents, you'll find a wide range of resources here.

A lane changing optimization planning method for autonomous vehicles in mixed traffic flow. For lane changing using three degree curve and car following model. Implemented cost(comfortability and efficiency) to determine best optimal trajectory to decide the lane change.