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Seth's Projects

an_pinbruter icon an_pinbruter

THIS CAN BE USED TO HACK INTO PIN LOCKED ANDRIOD MOBILES.USED TO CRACK LOCK PINS.

autogen icon autogen

A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap

chaos icon chaos

Visualizations of the connections between chaos theory and fractals through the logistic map; made for Veritasium YouTube video

clara-copilot icon clara-copilot

A alternative to Github Copilot for vscode until you get the access to github copilot

cml icon cml

♾️ CML - Continuous Machine Learning | CI/CD for ML

deception-detection-on-amazon-reviews-dataset icon deception-detection-on-amazon-reviews-dataset

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_sort icon deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

dumbify icon dumbify

Dumbify is a Text Conversion Platform which can do really intresting things using OpenAI's API

dynalib-extraction icon dynalib-extraction

Create a Dynamic Lib and Extract functions from Dynamic lib dynamically at runtime

facedetection-using-mtcnn icon facedetection-using-mtcnn

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]

gpt-2 icon gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

gpt-3 icon gpt-3

GPT-3: Language Models are Few-Shot Learners

handson-ml icon handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

handwritten-digits-detection-with-cnn icon handwritten-digits-detection-with-cnn

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.

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