Akash Kewar's starred repositories
tensorflow
An Open Source Machine Learning Framework for Everyone
PayloadsAllTheThings
A list of useful payloads and bypass for Web Application Security and Pentest/CTF
google-research
Google Research
cool-retro-term
A good looking terminal emulator which mimics the old cathode display...
TheFatRat
Thefatrat a massive exploiting tool : Easy tool to generate backdoor and easy tool to post exploitation attack like browser attack and etc . This tool compiles a malware with popular payload and then the compiled malware can be execute on windows, android, mac . The malware that created with this tool also have an ability to bypass most AV software protection .
OpenNMT-py
Open Source Neural Machine Translation and (Large) Language Models in PyTorch
pytesseract
A Python wrapper for Google Tesseract
camerakit-android
Library for Android Camera 1 and 2 APIs. Massively increase stability and reliability of photo and video capture on all Android devices.
Object-Detection-Metrics
Most popular metrics used to evaluate object detection algorithms.
simple-faster-rcnn-pytorch
A simplified implemention of Faster R-CNN that replicate performance from origin paper
unicorn
Unicorn is a simple tool for using a PowerShell downgrade attack and inject shellcode straight into memory. Based on Matthew Graeber's powershell attacks and the powershell bypass technique presented by David Kennedy (TrustedSec) and Josh Kelly at Defcon 18.
torchsample
High-Level Training, Data Augmentation, and Utilities for Pytorch
Defeat-Defender-V1.2.0
Powerful batch script to dismantle complete windows defender protection and even bypass tamper protection ..Disable Windows-Defender Permanently....Hack windows. POC
TextFuseNet
A PyTorch implementation of "TextFuseNet: Scene Text Detection with Richer Fused Features".
OCR_tablenet
TableNet Implementation on Pytorch
faster_rcnn_keras
faster RCNN keras step by step implementation
PneumoniaDetection
Using an External dataset to get the pre-trained weights of the NIH dataset and training on the provided dataset to detect the presence of pneumonia.