Training with FP16 weights in PyTorch

🎓 2020 Undergraduate Graduation Project in Jiangnan University ALL codes including Data-convert, keras-Train, model-Evaluate and Web-App

ClimWIP allows to calculate & apply performance and independence weights to CMIP models

Utility tool for Intel(r) OpenVINO(tm) IR models. The tool can display detailed model information, layer information and can check compatibility. The tool also can extract weight data and feature map from the IR model.

Computer Vision Basics to advanced. My journey through this subfield of AI

Quantization Aware Training

This project allows you to convert Llama model weights to the Hugging Face format, making it easier to work with Llama models in various applications.

This GitHub repository provides an implementation of a Genetic Algorithm (GA) for finding optimal weights of a Neural Network (NN).