Python CATS Resources

this is a simple artificial neural network model using deep learning and torch-audio to classify cats and dog sounds.

English | 简体中文（测试中...敬请期待） Cnn-Classification-Dog-Vs-Cat 猫狗辨别 (pytorch版本) CNN Resnet18 的猫狗分类器，基于ResNet及其变体网路系列，对于一般的图像识别任务表现优异，模型精准度高达93%（小型样本）。 项目制作于

CATs: Cost Aggregation Transformers for Visual Correspondence NeurIPS'21 For more information, check out the paper on [arXiv]. Training with different

Cat Requests What is this? Cat requests allows you to both get the HTTP response code of the website you wish and it displays it to your screen as a c

Random-Cat Just Randoms Cats with python.

CATS Commonsense Ability Tests Dataset and script for paper Evaluating Commonsense in Pre-trained Language Models Use making_sense.py to run the exper

A random cats photos python module

Example of network fine-tuning in pytorch for the kaggle competition Dogs vs. Cats Redux: Kernels Edition Currently

Cats-and-dogs-classifier This is my first ML model which can classify between cats and dogs. Here the accuracy is around 75%, however , the accuracy c

CATs: Semantic Correspondence with Transformers For more information, check out the paper on [arXiv]. Training with different backbones and evaluation

NyaaV2 Setting up for development This project uses Python 3.7. There are features used that do not exist in 3.6, so make sure to use Python 3.7. This