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task:test classifier dataset:r8, Acc:96%, Embedding+LSTM, virsualize:tensorboadX Loss:Focal
The simplest implementation of LeNet5 with mnist in PyTorch. Accuracy: ~99%
An implement of LeNet, AlexNet, VGG16, GoogLeNet and ResNet with Tensorflow.
Classify traffic signs by three classic ConvNets architecture using GTSRB dataset.
Classify traffic signs by using the AlexNet and GoogLeNet architecture using GTSRB dataset and comparing the two
Text classification based on LSTM on R8 dataset for pytorch implementation
From scratch, simple and easy to understand PyTorch implementation of Vision Transformer (ViT) for small datasets like MNIST, FashionMNIST, SVHN and CIFAR10 with detailed steps.
Train the MNIST dataset using LSTM model implemented by PyTorch.
Predict stock with LSTM supporting pytorch, keras and tensorflow
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
PyTorch Tutorial for Deep Learning Researchers
A tiny KV storage based on skiplist written in C++ language| 使用C++开发，基于跳表实现的轻量级键值数据库🔥🔥 🚀
This project is convert own data to MNIST format. It may help you to quickly test new DL model without modify too much code.
Summary of related papers on visual attention. Related code will be released based on Jittor gradually.
deepfake detection codes, distributed pytorch training (AI换脸检测)
My exploration on improving Deepfake Detection based on Xception
Deepfake Detection: CS3244 Machine Learning Project
[Bachelor Graduation Project] Use Xception model for face anti-spoofing
Implementation of "Exploiting Visual Artifacts to Expose Deepfakes and Face Manipulations"
Old implementation and demonstration of the Capsule-Forensics. The Capsule-Forensics-v2 has been released here: https://github.com/nii-yamagishilab/capsule-forensics-v2
some collected paper and personal notes relevant to Fake Face Detetection
The Pytorch implemention of Deepfake Detection based on Faceforensics++