Seth's Projects
THIS CAN BE USED TO HACK INTO PIN LOCKED ANDRIOD MOBILES.USED TO CRACK LOCK PINS.
Architecture decision record (ADR) examples for software planning, IT leadership, and template documentation
A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
A collection of awesome readme templates to display on your profile
Basic Implementation of Flask
Implementation of Support Vector Machines (SVM) to predict Breast Cancer(Malignant or Benign) using Breast Cancer dataset with 30 features.
Visualizations of the connections between chaos theory and fractals through the logistic map; made for Veritasium YouTube video
A alternative to Github Copilot for vscode until you get the access to github copilot
βΎοΈ CML - Continuous Machine Learning | CI/CD for ML
Let us control diffusion models!
Predicting Coronavirus using CNN with X Rays( 200) using transfer learning. used VGG16 model.
Multimodal Deception-Detection using Deep Learning Techniques
A SVM model that classifies the reviews as real or fake. Used both the review text and the additional features contained in the data set to build a model that predicted with over 85% accuracy without using any deep learning techniques.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Simple Online Realtime Tracking with a Deep Association Metric
Dumbify is a Text Conversion Platform which can do really intresting things using OpenAI's API
Create a Dynamic Lib and Extract functions from Dynamic lib dynamically at runtime
Implementation of face detection using pre trained Multi-tasked Cascaded Convolutional Neural Networks(MTCNN) by @ipazc. It is based on the paper Zhang, K et al. (2016) [ZHANG2016]
Using pretrained MTCNN and openCV the face is captured and feeded to Neural Network in real-time.
Join the GitHub Graduation Yearbook and "walk the stage" on June 5.
Code for the paper "Language Models are Unsupervised Multitask Learners"
GPT-3: Language Models are Few-Shot Learners
A modular graph-based Retrieval-Augmented Generation (RAG) system for code.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
The Repo contains a ipynb Jupyter notebook file which is created using Convolutional Neural Networks(CNN) whose task is to detect Handwritten digits with help of MNIST dataset.
Backend for human storage hackathon project. Submitted to ETH Global London 2024. Won runner's up prize in Filecoin category.