(ICCV 2019) This repo contains code for "MIC: Mining Interclass Characteristics for Improved Metric Learning", which proposes an auxiliary training task to explain away intra-class variations.
Re-implementation of Progressive Neural Networks with PyTorch
[ECCV'24] Differentiable Product Quantization for Memory Efficient Camera Relocalization
Codes for low-shot-shrink-hallucinate paper imported from official repository and with added helper functions
Creating Machine Learning and Deep Learning Algorithms in Rust
Modular stock price prediction engine using automated data pipelines, advanced feature engineering, staged transfer learning, and CNN-TFT-Attention models.
This is the final project of Dor Bitton and Yuval Goshen, B.sc Technion Students instructed by PhD Candidates Or Krupnik and Tom Jurgenson
Hello there! Welcome to the "SAN FRANCISCO CRIME GEOGRAPHICAL CLUSTERING" project. In this project, I have implemented clustering techniques to analyze and visualize crime data in San Francisco. The main goal is to identify geographical clusters of crimes and create an interactive map to display the results.
CNN-based Dog&Cat classification model as a course project for Introduction to Artificial Intelligence
A simple, minimalistic, and explainable code implementation of of Nemotron 3 Nano in JAX
Assignments for the DMLS course at University of Tehran, Winter 2022
This repos contains my all the basic to some advance Python Projects which i have created for the beginners so that they can learn the whole development processs by just implementing the projects
Deep Learning based Audio Deepfake Detection using CNN and Mel Spectrograms
AI-powered medical imaging and clinical decision support platform starting with neurodegenerative disease analysis and expanding toward a multimodal healthcare AI ecosystem.
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