Comparing ResNet vs Hyper-Connections vs causal Sinkhorn mHC on Fashion-MNIST using MLX.
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Updated
Jan 26, 2026 - Python
Comparing ResNet vs Hyper-Connections vs causal Sinkhorn mHC on Fashion-MNIST using MLX.
Pulmonary Carcinoma Detection Framework
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.
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