Sandbox for training deep learning networks
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Updated
Jul 2, 2024 - Python
Sandbox for training deep learning networks
Python toolkit for speech processing
Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.
🎯 Deep Learning Framework for Image Classification & Regression in Pytorch for Fast Experiments
Cifar with Noisy from Human or Synthesis
The official implementation of "Asymmetric Patch Sampling for Contrastive Learning"
The official implementation of paper: "Inter-Instance Similarity Modeling for Contrastive Learning"
Training ImageNet / CIFAR models with sota strategies and fancy techniques such as ViT, KD, Rep, etc.
Experience CIFAR-Net, a streamlined Python solution for classifying CIFAR-10 images with precision. Train, test, and predict effortlessly using our efficient CNN architecture and automation scripts. Dive into diverse datasets, make accurate predictions, and redefine image classification with ease! 🌟
The official implementation of LumiNet: The Bright Side of Perceptual Knowledge Distillation https://arxiv.org/abs/2310.03669
Improved CNN Training and Visualization
Implementaiton of BSC-Densenet-121 in Pytorch from research paper "Adding Binary Search Connections to Improve DenseNet Performance".
One-offs.
Neural network library written in C and Javascript
The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distillation-Oriented Trainer https://openaccess.thecvf.com/content/ICCV2023/papers/Zhao_DOT_A_Distillation-Oriented_Trainer_ICCV_2023_paper.pdf
✨基于卷积神经网络(CNN)和CIFAR10数据集的图像智能分类 Web 应用 Intelligent Image Classification Web Applcation based on Convolutional Neural Networks and the CIFAR10 Dataset✨🚩 (with README in English) 📌含在线demo:图像分类可视化界面,快速部署深度学习模型为网页应用,Web预测系统,决策支持系统(DSS),图像分类前端网页,图像分类Demo展示-Pywebio。AI人工智能图像分类-Pytorch。CIFAR10数据集,小模型。100%纯Python代码,轻量化,易复现
Connection Reduction of DenseNet for Image Recognition
VehicleVision leverages AWS services to train and deploy an image classification model that can differentiate between bicycles and motorcycles.
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