StyleGAN

GAN encoders in PyTorch that could match PGGAN, StyleGAN v1/v2, and BigGAN

MTV-TSA MTV-TSA: Adaptable GAN Encoders for Image Reconstruction via Multi-type Latent Vectors with Two-scale Attentions. This is the official code release for “Adaptable GAN Encoders for Image Reconstruction via Multi-type Latent Vectors with Two-scale Attentions”. The code contains a set of encoders that match pre-trained GANs (PGGAN, StyleGANv1, StyleGANv2, BigGAN) via multi-scale vectors with two-scale attentions. Usage training encoder with center attentions (align image) python E_align.py training encoder with Gram-based attentions (misalign image) python E_mis_align.py embedding real images to latent […]

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PyTorch

Simple torch module implementation of Alias-Free GAN

Simple torch module implementation of Alias-Free GAN. This repository including Note: Since this repository is unofficial, filter and upsample could be different with official implementation. Note: 2d lowpass filter is applying sinc instead of jinc (first order Bessel function of the first kind) in paper Requirements Due to torch.kaiser_window and torch.i0 are implemeted after 1.7.0, our repository need torch>=1.7.0. TODO [x] 2d sinc filter [x] 2d resample [x] devide 1d and 2d modules [ ] pip packaging Test results 1d […]

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Security

Discovery Header Bug Bounty to DoD with python

Did you know that DoD accepts server headers? 😲 (example: apache”version” , php”version”) ? In this code it is possible to extract all headers from the URLS.Tracking versions and being able to report as cwe-200 on hackerone. the 200dds file is an example: You can put your list of treated URLS. Install dependencies git clone https://github.com/KingOfBugbounty/Discovery-Header-Bug-Bounty.git cd Discovery-Header-Bug-Bounty pip install -r requirements.txt python3 searchHEADER.py -h usage: searchHEADER.py [-h] help positional arguments: help Run to code = python3 searchHEADER.py FileToUrls optional […]

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Analysis

Evidence enables analysts to deliver a polished business intelligence system using SQL

Business Intelligence for Modern Data Teams Evidence enables analysts to deliver a polished business intelligence system using SQL and markdown. It offers a modern development workflow for analysts and a polished user experience for decision-makers. An Evidence project is a collection of markdown documents. Whenever you write SQL queries in those documents, Evidence runs that SQL against your data warehouse. You can reference the results of those queries directly in your markdown document’s text, or you can use them to […]

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Maps

A minimal Python library to draw customized maps from OpenStreetMap data

prettymaps A minimal Python library to draw customized maps from OpenStreetMap data. Based on osmnx, matplotlib, shapely and vsketch libraries. Google Colaboratory Demo Installation Install with $ pip install git+https://github.com/abey79/vsketch#egg=vsketch $ pip install git+https://github.com/marceloprates/prettymaps.git # Init matplotlib figure fig, ax = plt.subplots(figsize = (12, 12), constrained_layout = True) backup = plot( # Address: ‘Praça Ferreira do Amaral, Macau’, # Plot geometries in a circle of radius: radius = 1100, # Matplotlib axis ax = ax, # Which OpenStreetMap layers to […]

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Command-line Tools

A command-line photo search tool based on the awesome OpenAI’s CLIP neural network

rclip is a command-line photo search tool based on the awesome OpenAI’s CLIP neural network. Installation Currently, pre-built distributable is available only for Linux x86_64. Download the AppImage from the latest release. Execute following commands: $ chmod +x $ sudo mv /usr/local/bin/rclip Usage $ cd photos && rclip “search query” How do I preview the results? The command from below will open top-5 results for “kitty” in your default image viewer. For this to work, you’ll have to index the […]

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Raspberrypi

Blockchain-Enabled IoT Sensor Framework that uses Augmented Reality and Artificial Intelligence

Arduino + Raspberry Pi + Unity3D + Cloud + Hyperledger Our Mission: Keep it simple, leave no one behind. Blockchain-Enabled Smart Sensor Framework using Augmented Reality. Blockchain-Enabled Smart Sensor Framework using Augmented Reality. Extended Realities for IoT. View Sensor data in 3D This project was built to help developers create extended realities that communicate with Arduino and require the security of blockchain decentralization. (__/)                                    /)__/) (=’ .’) / COLLABORATION (‘. ‘=) o(_(“)(“)                          (“)(“)_)o Instructions Connect Sensors to Unity3D […]

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Tracking

MoveNet Multipose Tracking on OpenVINO

MoveNet Multipose Tracking on OpenVINO Running Google MoveNet Multipose models on OpenVINO. A convolutional neural network model that runs on RGB images and predicts human jointlocations of several persons (6 max). WIP: currently only working on CPU (not on GPU nor MYRIAD) Full video demo here. For MoveNet Single Pose, please visit : openvino_movenet Install You need OpenVINO (tested on 2021.4) and OpenCV installed on your computer and to clone/download this repository. Run Usage: > python3 MovenetMPOpenvino.py -h usage: MovenetMPOpenvino.py […]

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Database

A library for interacting with SQL databases from Python code

sqlmodel SQLModel, SQL databases in Python, designed for simplicity, compatibility, and robustness. SQLModel is a library for interacting with SQL databases from Python code, with Python objects. It is designed to be intuitive, easy to use, highly compatible, and robust. SQLModel is based on Python type annotations, and powered by Pydantic and SQLAlchemy. The key features are: Intuitive to write: Great editor support. Completion everywhere. Less time debugging. Designed to be easy to use and learn. Less time reading docs. […]

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Logging

A Lightweight Logger for Machine Learning Experiments

A Lightweight Logger for ML Experiments Simple logging of statistics, model checkpoints, plots and other objects for your Machine Learning Experiments (MLE). Furthermore, the MLELogger comes with smooth multi-seed result aggregation and combination of multi-configuration runs. The API 🎮 from mle_logging import MLELogger # Instantiate logging to experiment_dir log = MLELogger(time_to_track=[‘num_updates’, ‘num_epochs’], what_to_track=[‘train_loss’, ‘test_loss’], experiment_dir=”experiment_dir/”, model_type=’torch’) time_tic = {‘num_updates’: 10, ‘num_epochs’: 1} stats_tic = {‘train_loss’: 0.1234, ‘test_loss’: 0.1235} # Update the log with collected data & save it to .hdf5 […]

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