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 ...

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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/: ...

This repository contains the code to train ConvNeXt models on 3D NIfTI images or 2D slices derived from these images. The script allows you to customize various aspects of the training process, ...

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-based computational toolkit designed to accurately predict the thickness of two-dimensional (2D) materials using only the crystal structure information. Utilizing state-of-the-art ...

2D and 3D structure tensor scale space implementation for Python. Forked from and based on Niels ... the publication can be found and interactively tested in the associated Code Ocean capsule. The ...

This repository contains the code and instructions for training the ResNet model on the CIFAR-10 dataset using different optimization strategies, namely Stochastic Gradient Descent (SGD), SGD 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, ...