12 Repositories
Python footprint Libraries
BETA: Layla - recon tool for bug bounty
WELCOME TO LAYLA Layla is a python script that automatically performs recon on a
PyTorchMemTracer - Depict GPU memory footprint during DNN training of PyTorch
A Memory Tracer For PyTorch OOM is a nightmare for PyTorch users. However, most
Advanced raster and geometry manipulations
buzzard In a nutshell, the buzzard library provides powerful abstractions to manipulate together images and geometries that come from different kind o
People tracker on the Internet: OSINT analysis and research tool by Jose Pino
trape (stable) v2.0 People tracker on the Internet: Learn to track the world, to avoid being traced. Trape is an OSINT analysis and research tool, whi
Attention for PyTorch with Linear Memory Footprint
Attention for PyTorch with Linear Memory Footprint Unofficially implements https://arxiv.org/abs/2112.05682 to get Linear Memory Cost on Attention (+
Project Faros is a reference implimentation of Red Hat OpenShift 4 on small footprint, bare-metal clusters.
Project Faros Project Faros is a reference implimentation of Red Hat OpenShift 4 on small footprint, bare-metal clusters. The project includes referen
A Semantic Segmentation Network for Urban-Scale Building Footprint Extraction Using RGB Satellite Imagery
A Semantic Segmentation Network for Urban-Scale Building Footprint Extraction Using RGB Satellite Imagery This repository is the official implementati
JLC2KICAD_lib is a python script that generate a component library for KiCad from the JLCPCB/easyEDA library.
JLC2KiCad_lib is a python script that generate a component library (schematic, footprint and 3D model) for KiCad from the JLCPCB/easyEDA library. This script requires Python 3.6 or higher.
Calculates carbon footprint based on fuel mix and discharge profile at the utility selected. Can create graphs and tabular output for fuel mix based on input file of series of power drawn over a period of time.
carbon-footprint-calculator Conda distribution ~/anaconda3/bin/conda install anaconda-client conda-build ~/anaconda3/bin/conda config --set anaconda_u
ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training
ActNN : Activation Compressed Training This is the official project repository for ActNN: Reducing Training Memory Footprint via 2-Bit Activation Comp
Purge your likes and wall comments from VKontakte. Set yourself free from your digital footprint.
vk_liberator Regain liberty in the cruel social media world. This program assists you with purging your metadata from Russian social network VKontakte
Learning recognition/segmentation models without end-to-end training. 40%-60% less GPU memory footprint. Same training time. Better performance.
InfoPro-Pytorch The Information Propagation algorithm for training deep networks with local supervision. (ICLR 2021) Revisiting Locally Supervised Lea