Author: Deep Learner

Discord

A Discord Bot to generate posting template for Megadrive server

Deploy to Heroku Steps: Create a Discord Bot by following this tutorial or refer to any youtube video Keep the discord bot token handy Click the deploy to heroku button, and put in the token when asked. Go to your app’s heroku dashboard. Go to resources tab. Click the ✏️ icon and toggle the worker switch to on. Your bot will be online. Detailed Guide: rentry.co How to deploy video Youtube Demo video Youtube Invite the bot and test it […]

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API

A featureful Python library covers most popular doujin API

A featureful Python library covers most popular doujin API Built on minimalist dependencies to resolves and interacts with ease.It takes a much more dictionaries rather than just raw data, and hope will be extendable. Janda has plenty api support apart from nhentai. Contributing •Documentation •Report Issues Site support Stable: works well | Triage: has some issues | Functional: works normally Features Easy to use: check your intelisense Neat: object taken is re-processed to make it actionable All-in-one: plenty of site […]

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Files

A Python Binder that merge 2 files with any extension by creating a new python file and compiling it to exe which runs both payloads

! You can now use Anonfile direct links due to discord annoying antivirus ! A Python Binder that merge 2 files with any extension by creating a new python file and compiling it to exe which runs both payloads. Prism also offers you the choice to.. Obfuscate your exe Add your exe to startup (appdata/roaming) Custom Icon Custom Name Download python 3.9+ and add python to PATH (https://www.python.org) Run the batch file named “install.bat” to install every modules needed Watch […]

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PyTorch

PyTorch evaluation code and pretrained models for SLPT

PyTorch evaluation code and pretrained models for SLPT (Sparse Local Patch Transformer). Installation Note: this released version was tested on Python3.8, Pytorch 1.10.2 and Windows 11. Install python dependencies: pip3 install -r requirements.txt Run Evaluation on WFLW dataset Download and process WFLW dataset Download WFLW dataset and annotation from Here. Unzip WFLW dataset and annotations and move files into ./dataset directory. Your directory should look like this: SLPT └───Dataset │ └───WFLW │ └───WFLW_annotations │ └───list_98pt_rect_attr_train_test │ │ │ └───list_98pt_test └───WFLW_images […]

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Tool

Monocular Depth Estimation Toolbox based on MMSegmentation

Introduction Monocular-Depth-Estimation-Toolbox is an open source monocular depth estimation toolbox based on PyTorch and MMSegmentation v0.16.0. It aims to benchmark MonoDepth methods and provides effective supports for evaluating and visualizing results. Major features Unified benchmark Provide a unified benchmark toolbox for various depth estimation methods. Modular design Depth estimation framworks are decomposed into different components. One can easily construct a customized framework by combining different modules. Support of multiple methods out of box I would like to reproduce some of […]

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Automation

An IoT Integrated Fully Automatic WIreless PHIshing System

─ An IoT Integrated Fully Automatic WIreless PHIshing System by Şefik Efe Altınoluk ─ Legal Disclaimer Do not try this software on the users/systems that you have no legal permission. Usage of Wi-Phi for attacking targets without prior mutual consent is illegal. It is the end user’s responsibility to obey all applicable local, state and federal laws. I assume no liability and are not responsible for any misuse or damage caused by this software, documentation and anything in this repository. […]

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Various

Various Odoo apps and/or extensions

Apps related to various (third party) Odoo apps auditlog_extra: expansion of https://github.com/OCA/server-tools/tree/14.0/auditlog auditlog_extra Expands the auditlog module from the OCA with the following features: New rule type “Specific fields” to only log/report on the field(s) that you want: Smart button from the rule to quick-open and view all logs related to a rule: Smart button from the log line to the related record to quick navigate: New button “Add smart button” to add a “Check logs” button on the form […]

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PyTorch

Forward Compatible Few-Shot Class-Incremental Learning

The code repository for “Forward Compatible Few-Shot Class-Incremental Learning” [paper] (CVPR22) in PyTorch. If you use any content of this repo for your work, please cite the following bib entry: @inproceedings{zhou2022forward, title={Forward Compatible Few-Shot Class-Incremental Learning}, author={Zhou, Da-Wei and Wang, Fu-Yun and Ye, Han-Jia and Ma, Liang and Pu, Shiliang and Zhan, De-Chuan}, booktitle={CVPR}, year={2022} } Forward Compatible Few-Shot Class-Incremental Learning Novel classes frequently arise in our dynamically changing world, e.g., new users in the authentication system, and a machine […]

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Transformer

ReMoS: Reducing Defect Inheritance in Transfer Learning via Relevant Model Slicing

This is the artifact for the ICSE 2022 paper “ReMoS: Reducing Defect Inheritance in Transfer Learning via Relevant Model Slicing”. Transfer learning is a popular software reuse technique in the deep learning community that enables developers to build custom models (students) based on sophisticated pretrained models (teachers). However, like vulnerability inheritance in traditional software reuse, some defects in the teacher model may also be inherited by students, such as well-known adversarial vulnerabilities and backdoors. Reducing such defects is challenging since […]

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Translation

Gaussian Multi-head Attention for Simultaneous Machine Translation

Source code for our ACL 2022 paper “Gaussian Multi-head Attention for Simultaneous Machine Translation” (PDF) Our method is implemented based on the open-source toolkit Fairseq. Core code of Gaussian Multi-head Attention is in fairseq/modules/gaussian_multihead_attention.py Requirements and Installation Python version = 3.6 PyTorch version = 1.7 Install fairseq: git clone https://github.com/ictnlp/GMA.git cd GMA pip install –editable ./ Quick Start Data Pre-processing We use the data of IWSLT15 English-Vietnamese (download here) and WMT15 German-English (download here), and apply BPE with 32K merge […]

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