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cyber-security-cryptographic-correlation-power-analysis

This project is about performing a power-side channel attack over a practical implementation of a cryptographic algorithm. My team attempted to recover the secret key used for the cryptographic algorithm from the collected power measurements. We specifically use a technique called Correlation Power Analysis (CPA) to recover the secret key.

cyclegan-with-self-attention

In this repository, I have developed a CycleGAN architecture with embedded Self-Attention Layers, that could solve three different complex tasks. Here the same principle Neural Network architecture has been used to solve the three different task. Although truth be told, my model has not exceeded any state of the art performances for the given task, but the architecture was powerful enough to understand the task that has been given to solve and produce considerably good results.

dall-e

PyTorch package for the discrete VAE used for DALL·E.

data-science-best-resources

Carefully curated resource links for data science in one place

data-science-hackathon

Data Science Hackathon

data-science-hackathon-and-competition

Grandmaster in MachineHack (3rd Rank Best) | Top 70 in AnalyticsVidya & Zindi | Expert at Kaggle | Hack AI

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data-scientist-roadmap

Toturials coming with the "data science roadmap" picture.

data-structures-algorithms-python

This tutorial playlist covers data structures and algorithms in python. Every tutorial has theory behind data structure or an algorithm, BIG O Complexity analysis and exercises that you can practice on.

data_science_blogs

A repository to keep track of all the code that I end up writing for my blog posts.

datascienceresources

Open Source Data Science Resources.

dd-quantum-measurements

Sample from Quantum Hamiltonians using decision diagrams

ddsim

MQT DDSIM - A quantum circuit simulator based on decision diagrams written in C++

deep-learning

Course: Deep Learning

deep-learning-1

Repo for the Deep Learning Nanodegree Foundations program.

deep-learning-design-photonic-crystals

Modeling and designing Photonic Crystal Nanocavities via Deep Learning

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deep-learning-for-metamaterial-

deep-learning-for-metasurface-optimization

Deep Learning for metasurface parameter optimization using tensorflow/keras

deep-learning-keras-tf-tutorial

Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.

deep-learning-notes

Experiments with Deep Learning

deep-learning-with-python

Deep learning codes and projects using Python

deep-neural-network-inverse-design-of-integrated-photonic-power-splitters

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deepfake-detection

Using Convnets and advanced Image Processing techniques to detect DeepFake videos.

deeph-pack

Deep neural networks for density functional theory Hamiltonian.

deeplab2

DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.

deeplearningzerotoall

TensorFlow Basic Tutorial Labs

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications