Comparing ResNet vs Hyper-Connections vs causal Sinkhorn mHC on Fashion-MNIST using MLX.

Resnet的直连结构在一般的深度神经网络上应用效果测试

EnACP: একটি Ensemble Learning মডেল যা অ্যান্টিক্যান্সার পেপটাইড সনাক্তকরণের জন্য ব্যবহৃত হয়।

This project is dependent to make classification between faces of cats, dogs and wild_animals and use multiple model such as CNN and pretrained model like ResNet and MobileNet and show the result of all model in the image using heatmap to know what is the part that model take decision when see it.

Python-based solution for automatic image caption generation using a ResNet-50 CNN and RNN, featuring comprehensive data preprocessing, model training, and evaluation with BLEU score and Cosine Similarity metrics.

🛍 The model for prediction the category of commodity by image

A deep learning-based solution for detecting bone fractures from X-ray images. It utilizes CNN architectures like ResNet50 to classify bone types and identify fractures efficiently. The model is trained on 20,000 X-ray images and employs a two-step classification process for accurate diagnosis, aiding medical professionals in improving patient care

A high-performance image deduplication pipeline using ResNet50 features, FAISS vector search, and Graph Clustering. Optimized for 100k+ datasets on Apple Silicon & CUDA.