This is the model repository of YNU's deep learning principles and platform course assignments, which mainly use remote sensing image datasets to achieve classification, colorization and super-resolution.

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

Assignments + Final Project for ECE176 (Intro to Deep Learning and Applications) at UCSD - Assignments include implementing some machine learning algorithms from scratch and building deep learning models | Project compares different deep learning architectures on classifying if there is a tumor + it's type in MRI scans of human brains

Classification with PyTorch.

This code includes classification and detection tasks in Computer Vision, and semantic segmentation task will be added later.

Reimplementations of various computer vision papers in pytorch

DeepFake Detection Web-App[Mirage Breaker] 🖥 using Deep Learning(ResNext and LSTM), Flask and ReactJs where you can predict whether a video is FAKE Or REAL along with the confidence ratio.

⭐⭐⭐ Pytorch implementation of Attentiom, Backbone, ViT, MLP, Re-parameter, Convolution, very flexible module combination.

Speech commands recognition with PyTorch | Kaggle 10th place solution in TensorFlow Speech Recognition Challenge

Abnormal Behavior Recognition

A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: VGG, ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

Training pipeline for alzheimers classification with custom built EfficientNet and ResNeXt models.

Boundary detection using Probability of Boundary || Implementation and analysis of deep learning architectures such as ResNet, DenseNet, etc.

Deployed web application for alzheimers classification using ResNeXt-50 built from scratch in PyTorch

Visual Question Answering in Persian Based on deep learning techniques (paper code)

Various CNN's trained with the Kaggle Chest X-Ray dataset.

Food detection and recommendation with deep learning

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

Pytorch implementation of vision models.