Implementation of some unbalanced loss for NLP task like focal_loss, dice_loss, DSC Loss, GHM Loss et.al Summary Here is a loss implementation repository included unbalanced loss How to use? You can find all the loss usage information in test_loss.py. Here is a simple demo of usage: import torch from unbalanced_loss.focal_loss import MultiFocalLoss batch_size, num_class = 64, 10 Loss_Func = MultiFocalLoss(num_class=num_class, gamma=2.0, reduction=

This repository provides a minimal example of NVIDIA’s Isaac Gym, to assist other researchers like me to quickly understand the code structure, to be able to design fully customised large-scale reinforcement learning experiments. The example is based on the official implementation from the Isaac Gym’s Benchmark Experiments, for which we have followed a similar implementation on Cartpole, but with a minimal number of lines of code aiming for maximal readability, and without using any third-party RL frameworks. Note: The current […]

Script to generate markdown of API endpoints which then can be used to produce visual mindmap to give a nice overview of the target. Supports txt as well as Burp xml as input. Why? After watching the bug bounty space develop and grow from the side I never noticed any such tool that visualizes the API by its endpoints and makes the researchers life easier to for example document APIs. Recently when I confronted a domain which had multiple big […]

Python scripts for performing 6D pose estimation and shape reconstruction using the CenterSnap model in ONNX The original model has not been officially released, therefore, there might be changes to the official model later on. The examples seem to not properly work when using a camera other than the one in the original dataset. This is probably due to an implementation mistake on this repository, if you find the issue, please submit an issue or PR. The model only works […]

Python scripts for performing road segemtnation and car detection using the HybridNets multitask model in ONNX. Check the requirements.txt file. Additionally, pafy and youtube-dl are required for youtube video inference.

This is python source code, that helps you to check for all weights of a font which is hosted in a website. Read the instructions, to learn how to use it. Screenshot Instructions Downloas and install Termux from here Run codes below in Termux: pkg install python pip install requests termux-setup-storage cd /path/to/code python Font-Downloader.py In the first input, you need to enter the font file url that you’ve found, but without weight name and foemat name (this method will […]

Rig Builder is a flexible UI maker for python scripts. Mostly used in Maya rigging but can be adapted for any other purposes. How to run Add rigBuilder folder to your script path and run the following: import rigBuilder rigBuilder.mainWindow.show() File structure Name Description modules All modules in xml qss Dark style utils Utilities such as yapf for python formatting widgets Attribute widgets classes.py Definition of the two main classes: Attribute and Module editor.py Python code editor templateWidgets.py Widgets set […]

Start by creating a discord webhook git clone this project or simply download it Open the folder in visual studio code or other editor of your choice open terminal and type pip install -r requirements.txt to install the required modules put your webhook in on line 8 then run exe.bat if you want to convert it to an exe Done!    

Python script to check if your kernel is vulnerable to Dirty pipe CVE-2022-0847 You can execute directly the script on your system and it will find your kernel version But you can execute the script with as argument a kernel version to check (3 digit kernel version, like 5.10.103) ./check-dirty-pipe.py 5.10.103 and it will print if this version is vulnerable or not:Is your system vulnerable to CVE: False GitHub View Github