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1-2-relativistic-equations-of-motion-sprocketphysics

1-2-relativistic-equations-of-motion-sprocketphysics created by GitHub Classroom

1-intro-to-qubo

100-days-of-code

Fork this template for the 100 days journal - to keep yourself accountable (multiple languages available)

100-days-of-ml-code

100 Days of ML Coding

11k-hands

Two-stream CNN for gender classification and biometric identification using a dataset of 11K hand images.

19_udacity_dsa

Data Structures & Algorithms Nanodegree Program from Udacity

1dfreeformdqn

Design code of 1D free-from deflector metasurface

2019-05_atomicfountaintheory

Theory for Hamiltonian of Atomic Fountain Interferometer

2020

Repository with notebooks for Qiskit Challenge India 2020

3d-machine-learning

A resource repository for 3D machine learning

3d_model_retriever

Experimenting with a newly published deep learning paper and how it can be used for content-based 3D model retrieval. (info retrieval for CAD)

3ls_simulation

The jupyter notebooks simulating three-level systems

7-shift-caesar

Using AI to perform Cryptanalysis

a-deeper-look-at-machine-learning-based-cryptanalysis

Code for the project

a-deeper-look-at-machine-learning-based-cryptanalysis-v5

a-model-for-automated-food-logging-through-food-recognition-and-attribute-estimation-using-deep-lea

This website can automatically estimate the various food attributes like the nutrients and ingredients by classifying the food image, that is given as input. The approach involves the use of different types of deep learning models for accurate food item identification. Apart from image recognition and analysis, the food ingredients, nutrients and attributes are obtained and estimated by extracting words which are semantically related from a large collection of text, accumulated over the internet. Experimentation has been performed with the Food-101 dataset. The proposed system assists the user to obtain the nutritional value of the food item in real-time which is effective and simple to use. The proposed system also provides supporting features such as food logging, calorie tracking and healthy recipe recommendations for self-monitoring of the user.

a-quantum-inspired-genetic-algorithm-for-k-means-clustering

Implementation of a Quantum inspired genetic algorithm proposed by A quantum-inspired genetic algorithm for k-means clustering paper.

accelerator_inverse_design

Automated inverse design of dielectric laser accelerator structures

actor_criticpointer_network-tsp

Tensorflow implementation of an Actor Critic algorithm using a Pointer Network to solve the TSP (algorithm from Neural Combinatorial Optimization with Reinforcement Learning, Bello et al, 2016)

adiaqc

Adiabatic quantum computation solver for Ising spin-glass or QUBO problems (several test problems included).

adjoint-workshop

Gentle introduction and demo of the adjoint variable method for electromagnetic inverse design

adjointem

Educational Repository for Learning Computational Electromagnetic Inverse Design.

adjointmethodexample

A simple demonstration of the adjoint method

advanced_photonics_lab

Repository hosting all the FDTD codes developed for the Laboratoy of Advanced Photonics @UniTN

aem_dim_bench

Repo for paper "Inverse deep learning methods and benchmarks for artificial electromagnetic material design"

aes

This design involves the implementation AES 128. Inside top module, enc, dec and key_generation modules are available. Both enc and dec are controlled via respective resets. When enc executes, key_generation runs and further fills the key memory. dec unit on its execution extracts key from the same memory. Working on to test the design with Side Channel Attacks.

aes-sidechannel

Research into AES Side Channel Attacks on an FPGA target

aes_dynamic_s_box

AES algorithm has been stated as secure against any attack but increasing fast computing is making hackers to develop the cracks for AES as well. Therefore to further increase the security of AES, i tried to replace Standard static and fixed Substitution Box with a dynamic S Box. Dynamicity is brought with the help of Input key. Static S box is altered using the input key and the new generated s box is used for encryption. Reverse steps goes for Decryption. Presently, working on to test this design against Side Channel attacks and would publish the results here.

ai-nanodegree

Project solutions for Udacity's AI Nanodegree Program

aigym

Best AI related materials curated at a place.