🔥🔥NSFW implement in pytorch(色情图&性感图识别,本程序经过了线上大数据集测试,性能优异效果良好)🔥🔥
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Updated
Mar 4, 2022 - Python
🔥🔥NSFW implement in pytorch(色情图&性感图识别,本程序经过了线上大数据集测试,性能优异效果良好)🔥🔥
Multiclass image classification using Convolutional Neural Network
Encoder-decoder architecture using ResNet and transposed ResNet (resnet 50, resnet 101)
Transfer Learning using PyTorch
랜드마크 자동태그 기반 스마트 여행기록 SNS입니다 :-)
Implementation of Aman Kharwal's ML tutorial
Crowd counting and analysing techniques using Convolutional Neural Network (ResNet 101). It can process both photos and videos as inputs.
Explore my comprehensive collection of AI models for blood cancer detection. Leveraging deep learning and medical imaging, these models aim to revolutionize early diagnosis and treatment, making a significant impact on the battle against blood cancers. #AI #HealthcareInnovation
Weeds detection application using transfer learning (resnet101) and some tips powered by Fastai library
Nepali Handwritten Character Image Classification through Deep Learning.
Implementation of the paper, "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks", NeurIPS 2015 by Ren et al
Convolutional Neural Networks on Image Classification using a genetic algorithm for optimization
This project is a system created to use feature extraction methods and pre-trained models to find similarities between photos retrieved from different sources.
Implementation of some basic Image Annotation methods (using various loss functions & threshold optimization) on Corel-5k dataset with PyTorch library
An complete flutter based app for blind people incorporating Nepali currency detection, OCR and Environment Captioning for enhancing day to day activities of visually impaired person.
Deep learning approach to detect vacant spots from a stationary video feed of a parking lot
This is an implementation of ResNet using keras.
realtime violence detection from videos using cnn-lstm model
A model inspired from the famous Show and Tell Model is implemented for automatic image captioning.
Academic Project for Pattern Recognition and Neural Networks Course
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