A Benchmark of Text Classification in PyTorch

基于法律裁判文书的事件抽取及其应用，包括数据的分词、词性标注、命名实体识别、事件要素抽取和判决结果预测等内容

Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream

This repository contains the source code of our work on designing efficient CNNs for computer vision

🔥 Reproducibly benchmarking Keras and PyTorch models

This is official repository of our paper "RFUAV: A Benchmark Dataset for Unmanned Aerial Vehicle Detection and Identification". Codes include a two stage model to achieve drone detection and classification using some FFT/STFT analytical method. The Raw data will be free to use after our paper is accept. Star us!!!!, if you think this is useful♥

Potato Disease Classification - Training, Rest APIs, and Frontend to test.

Training and evaluating state-of-the-art deep learning CNN architectures for plant disease classification task.

📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.

A Complete and Simple Implementation of MobileNet-V2 in PyTorch

The source code and dataset are used to demonstrate the DF model, and reproduce the results of the ACM CCS2018 paper

implement AlexNet with C / convolutional nerual network / machine learning / computer vision

CNN image classifier implemented in Keras Notebook 🖼️.

Ultra-lightweight (600KB) Face Anti-Spoofing classifier. Optimized MiniFASNetV2-SE implementation validated on 70k+ samples with ~98% accuracy for edge devices.

This repository explores the variety of techniques and algorithms commonly used in deep learning and the implementation in MATLAB and PYTHON

Official implementation of ID-unaware Deepfake Detection Model

GroupSoftmax cross entropy loss function for training with multiple different benchmark datasets

A Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy achieved by applying the method of Transfer Learning using Python and Pytorch Deep Learning Framework

Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera

PyTorch tutorials A to Z

1D GAN for ECG Synthesis and 3 models: CNN, LSTM, and Attention mechanism for ECG Classification.

An End to End Real Time Face Identification and attendance system using CNN

Forest fire detection using Convolutional Neural Networks

Squeezenet V1.1 on Cyclone V SoC-FPGA at 450ms/image, 20x faster than ARM A9 processor alone. A project for 2017 Innovate FPGA design contest.

Weapon Detection & Classification through CCTV surveillance using Deep Learning-CNNs.

Code to reproduce 'Deep Learning for Decentralized Parking Lot Occupancy Detection' paper.

✅ CODAR is a framework built using PyTorch to analyze post (Text+Media) and predict cyber bullying and offensive content.

All the code files related to the deep learning course from PadhAI

This is a SE_DenseNet which contains a senet (Squeeze-and-Excitation Networks by Jie Hu, Li Shen, and Gang Sun) module, written in Pytorch, train, and eval codes have been released.

Crime detection in cctv footage using deep learning