In this work, we propose a new angle through the coreset selection to improve the training efficiency of quantization-aware training. Our method can achieve an accuracy of 68.39% of 4-bit quantized ...

There was an error while loading. Please reload this page. This repository provides a Python implementation of a heuristic method for the Bidimensional Bin Packing ...

We propose a 3D-aware 2D VAE that enables 3D reconstruction in the 2D latent space. We present a three-stage pipeline to enhance the 3D awareness of both encoder and decoder of the VAE. Feel free to ...

Python Version: For our code the version of Python has to be from 3.7 to 3.9 in order for this project to work properly, in order to check which version of Python you have, write the following command ...

PY2D Soccer Simulation Base Code is a base code for RoboCup 2D Soccer Simulation teams, which is written in Python. This base code is powered by the Cross Language Soccer Framework, which allows you ...

Minecraft 2D is a Python recreation of the Scratch project Paper Minecraft by Griffpatch. It's a 2D Minecraft clone—you can mine and place blocks, move around, but survival mode and inventory are ...

Success looks like a visual agent efficiently and consistently navigates from start to end points on a 2D grid leveraging the A* algorithm ... Structure: src/: Contains the main Python code. docs/: ...

raise ValueError(f"Invalid path: {path}. Path should be a string.") ...

It can run both on GPU and CPU, although the latter will be significantly slower. The code was tested with Python 3.9.17 and PyTorch 2.0.1. Both "compute_reference.py" and "LF_simulation.py" use the ...

THICK2D is a Python ... (2D) materials using only the crystal structure information. Utilizing state-of-the-art algorithms, advanced machine learning architecture, and integrating seamlessly with ...

This repository contains a deep learning mini-project focused on image classification using the ResNet architecture. It includes Python scripts for creating datasets, training and validating models, ...

Copy these files from the python folder into the VGG folder and do the testing RESNET: Python .ipynb will dump the below .txt files - Resnet_activation_project.txt (contains activations) - ...