This repository contains notebooks on different topics across - linear algebra, image classification, language models etc.
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Updated
May 21, 2020 - Jupyter Notebook
This repository contains notebooks on different topics across - linear algebra, image classification, language models etc.
Probabilistic programming stuff 2
Unsupervised Image Segmentation With Deep Segmentation Prior
Building a deep facial recognition application to authenticate into an application. Building a model using Deep Learning with Tensorflow which replicates what is shown in the paper titled Siamese Neural Networks for One-shot Image Recognition.
Presentation and Practical on a popular NLP paper - Language Models are Few-Shot Learners.
[ON HOLD] A One-shot face recognition system built with OpenCV and PyTorch.
Used CNN based models like ResNet101 and InceptionV3 to classify brain tumors on brain MRI image dataset. Further more, used siamese network for one-shot classification using cosine triple loss and l2 triple loss.
The source code for Multi-Scale Kronecker-Product Relation Networks for Few-Shot Learning
It is the repo I listed my kernels in Kaggle. You can access it in detail from my Kaggle address https://www.kaggle.com/bulentsiyah.
A Rust implementation of Siamese Neural Networks for One-shot Image Recognition for benchmarking performance and results.
Code for ICRA2023 paper "GSMR-CNN: An End-to-end Trainable Architecture for Grasping Target Objects from Multi-Object Scenes"
Performing one-shot learning using a triplet network with different triplet selection methods (random and hard).
Implementing one-shot learning using FaceNet
Codes for low-shot-shrink-hallucinate paper imported from official repository and with added helper functions
Code for the paper "A hippocampal model for behavioral time acquisition and fast bidirectional replay of spatio-temporal memory sequences"
Ben Gurion University "Deep Learning (372.2.6101)" course assignments & solutions
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