October 13, 2021 Function

Helper functions to make expert elicitation easier

Assists with the construction of probability distributions built from expert elicited data for use in monte carlo simulations. Usage Until this is packaged for pip, copy elicit_distibutions.py in your code. Then: elicited is just a helper tool when using numpy and scipy, so you’ll need these too. import numpy as np import scipy Lognormal See Occurance and Applications for examples of lognormal distributions in nature. Expert: I have assets at risk that would generate a wide range of losses. Elicitor: […]

October 13, 2021 metrics

A fast implementation of bss_eval metrics for blind source separation

Do you have a zillion BSS audio files to process and it is taking days ?Is your simulation never ending ? Fear no more! fast_bss_eval is here to help you! fast_bss_eval is a fast implementation of the bss_eval metrics for theevaluation of blind source separation. Our implementation of the bss_evalmetrics has the following advantages compared to other existing ones. seemlessly works with both numpy arrays and pytorch tensors very fast can be even faster by using an iterative solver (add […]

October 13, 2021 PyTorch

Open source Optical Character Recognition based on PyTorch

GeneralOCR is open source Optical Character Recognition based on PyTorch. It makes a fidelity and useful tool to implement SOTA models on OCR domain. You can use them to infer and train the model with your customized dataset. The solution architecture of this project is re-implemented from facebook Detectron and openmm-cv. Refer to the guideline of gen_ocr installation Configuration Model text detection Supported Algorithms: Text Detection Table 1: Text detection algorithms, papers and parameters configuration in SDK. Model text recognition […]

October 13, 2021 Semantic

Learning to Regress Bodies from Images using Differentiable Semantic Rendering

Getting Started DSR has been implemented and tested on Ubuntu 18.04 withpython 3.6. Clone the repo: git clone https://github.com/saidwivedi/DSR.git Install the requirements using conda: # conda source install_conda.sh Preparation of Data For evaluation, you need to download the pretrained DSR model and SMPL body models. Run the command following command For both evaluation and training, we use data processing techinque similar to SPIN. Kindly refer to their repo for more details.

October 13, 2021 Bridge

Cobalt Strike Sleep Python Bridge

This project is ‘bridge’ between the sleep and python language. It allows the control of a Cobalt Strike teamserver through python without the need for for the standard GUI client. NOTE: This project is very much in BETA. The goal is to provide a playground for testing and is in no way an officially support feature. Perhaps this could be something added in the future to the core product. The project was inspired by the work done by @BinaryFaultline and […]

October 13, 2021 Python

Python’s property(): Add Managed Attributes to Your Classes

With Python’s property(), you can create managed attributes in your classes. You can use managed attributes, also known as properties, when you need to modify their internal implementation without changing the public API of the class. Providing stable APIs can help you avoid breaking your users’ code when they rely on your classes and objects. Properties are arguably the most popular way to create managed attributes quickly and in the purest Pythonic style. In this tutorial, you’ll learn how to: […]

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