Prashant K. Sharma's starred repositories
CS344_2021
Udacity CS344 Introduction to Parallell Programming (https://classroom.udacity.com/courses/cs344), with assignments/materials updated to build in 2021
blackhat-arsenal-tools
Official Black Hat Arsenal Security Tools Repository
pwnedOrNot
OSINT Tool for Finding Passwords of Compromised Email Addresses
edgeai-lab-microcontroller-series
This repository is to share the EdgeAI Lab with Microcontrollers Series material to the entire community. We will share documents, presentations and source code of two demo applications.
algorithmic-efficiency
MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training algorithms and models.
yandex-praktikum-data-science-projects
Repository containing portfolio of data science projects completed by me during the training courses at Yandex.Praktikum
PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
data-centric-ai
Resources for Data Centric AI
pdx-emacs-hackers
Documents, notes, and a small collection of magical incantations related to the Portland-based Emacs User Group. Happy Hacking.
awesome-tailwindcss
😎 Awesome things related to Tailwind CSS
Web-Dev-For-Beginners
24 Lessons, 12 Weeks, Get Started as a Web Developer
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Getting-Things-Done-with-Pytorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
hierarchical-dnn-interpretations
Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)