Manoj Negi's Projects
Powershell script to do domain auditing automation
Testing windows folder
Autopsyยฎ is a digital forensics platform and graphical interface to The Sleuth Kitยฎ and other digital forensics tools. It can be used by law enforcement, military, and corporate examiners to investigate what happened on a computer. You can even use it to recover photos from your camera's memory card. Installers can be found at: http://www.sf.net/pr
charity-donation - BITS Pilani Project
clojurebook source code
The Cloud Foundation toolkit provides GCP best practices as code.
Experiments with Crypto
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
The simplest way to run LLaMA on your local machine
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
Visualizations for machine learning datasets
Grokking Deep Reinforcement Learning
Hello Cloud Testing Environment
Lab Materials for MIT 6.S191: Introduction to Deep Learning
hs Menu is a easy to use mega menu plugin that helps you create modern navigation system with amazing features.
A tutorial on locality sensitive hashing, using MinHashing for document similarity and CosineSimilarity for Euclidean space similarity.
Markdown - you can mark up titles, lists, tables, etc., in a much cleaner, readable and accurate way if you do it with HTML.
The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:
Config files for my GitHub profile.
A news recommendation system tailored for user communities
Early experiment to create fully autonomous agent swarms
OpenRefine is a free, open source power tool for working with messy data and improving it
This project aims to introduce and demonstrate the practical applications of RAG using Python code in a Jupyter Notebook environment.
Safe Exam Browser for Windows.
Code and documentation to train Stanford's Alpaca models, and generate the data.