Deep Learning, NLP, NMT, AI, ML
Start by creating a discord webhook git clone this project or simply download it Open the folder in visual studio code or other editor of your choice open terminal and type pip install -r requirements.txt to install the required modules put your webhook in on line 8 then run exe.bat if you want to convert it to an exe Done!
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Sychronized, streaming Python dictionary that uses shared memory as a backend Warning: This is an early hack. There are only few unit tests and so on. Maybe not stable! Features: Fast (compared to other shareing solutions) No running manager processes Works in spawn and fork context Safe locking between independent processes Tested with Python >= v3.9 on Linux and Windows Optional recursion for nested dicts General Concept UltraDict uses multiprocessing.shared_memory to synchronize a dict between multiple processes. It does so […]
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Revitalize Region Feature for Democratizing Video-Language Pre-training Guanyu Cai, Yixiao Ge, Alex Jinpeng Wang, Rui Yan, Xudong Lin, Ying Shan, Lianghua He, Xiaohu Qie, Jianping Wu, Mike Zheng Shou [Arxiv] Pytorch implementation of our method for video-language pre-training. Requirement conda create -n demovlp python=3.8 source activate demovlp pip install -r requirements Pre-trained weights Model Dataset Download DemoVLP WebVid+CC3M Model DemoVLP WebVid+CC3M+CC7M Model Data Download Pre-trained model mkdir pretrained cd pretrained wget -c https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-vitjx/jx_vit_base_p16_224-80ecf9dd.pth cd
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A PyTorch implementation of GraphSAGE This package contains a PyTorch implementation of GraphSAGE. Currently, only supervised versions of GraphSAGE-mean, GraphSAGE-GCN, GraphSAGE-maxpool and GraphSAGE-meanpool are implemented. Authors of this code package: Bin Yu Environment settings python>=3.6.8 pytorch>=1.0.0 Basic Usage Example Usage To run the supervised model on Cuda: GitHub View Github
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This is an official pytorch implementation of our ICML 2021 paper Is Space-Time Attention All You Need for Video Understanding?. In this repository, we provide PyTorch code for training and testing our proposed TimeSformer model. TimeSformer provides an efficient video classification framework that achieves state-of-the-art results on several video action recognition benchmarks such as Kinetics-400. If you find TimeSformer useful in your research, please use the following BibTeX entry for citation. @inproceedings{gberta_2021_ICML, author = {Gedas Bertasius
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Script gathers all needed info from Cisco devices and creates entities in Netbox (devices, interfaces, prefixes, ip addresses, cdp connections etc) This script has two parts: What the main.py script does: Connects to ips of Cisco devices written in ip_list_all.txt or ip_list.txt files by netmiko or paramiko Gathers information according to templates Parses data and writes into api/”device_name”.csv files in json format Script’s main purpose is full integration between Cisco and Netbox (https://netbox.readthedocs.io/en/stable/) Script works fine with IOS, NX-OS, XR, […]
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The official codes of our CVPR2022 paper: Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization One Sentence Summary: EFDM outperforms AdaIN, which only matches first and second order statistics, by implicitly matching high orders statistics in an efficient manner. Fig.1: AdaIN vs. histogram matching vs. EFDM via Sort-matching. A brief introduction:Many real-world tasks (e.g., Arbitrary Style Transfer and Domain Generalizaiton) can be cast as a feature distribution matching problem.With the assumption of Gaussian feature distribution, conventional feature […]
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Features Admin Panel Relational Model Able To Manage Admin Panel Able To Customize Admin Panel Able To Create Super Users Such as Admin Able To Use Any Type of Databases (Current Database is Sqlite3) Able To Add , Delete and Mark your Events as Completed in Your List Responsive Site (Optimization) Backend Security Language used in This Project To finish reading, please visit source site
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Pie is a loose structured python project manager. A Loose structured and easy to use python project manager. Different sets ofcommands can be accessed by using the cli inside a project directory oroutside of it. Installation Install PIE Project Manager on pip pip install pie-manager pip3 install pie-manager Changelogs Changelogs Usage
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DarkTor This is official repository maintained by Us. Dark-Bomb ❤️ By DARKARMY You can check our WebSite✌ A free and open-source SMS bombing application Soon you will get more options To finish reading, please visit source site
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