Deep Learning, NLP, NMT, AI, ML
A simple script to convert discord tokens from email:pass:token to token-only format Input tokens into TokensFull.txt in email:pass:token format, each account seperated by a new line. Token-only output will be found in output.txt after you run the script. Source and exe included for convenience. Star repo and share 😉 GitHub View Github
Read moreLet’s make a simple NFT/memecoin on the Algorand TestNet! We’ll use the Purestake API, NFT Storage, and the Algorand Python SDK to programmatically create some coins/nfts/assets. 1 Tip: If you want to speedrun through this tutorial, just read each heading and the tl;drs at the end of the section. Pre-requisites You should hopefully know how to open the terminal and use a code editor. On MacOS or Ubuntu (any Linux-based OS), just open up your terminal. If you are on […]
Read moreJUST NOW LOGIN FRIENDLIST CLONER TOOLS Install $ apt update $ apt upgrade $ apt install python2 $ apt install git $ pip2 install mechanize $ pip2 install requests $ git clone https://github.com/MAHADI-143/Just-Now $ ls $ cd Just-Now $ ls $ python2 Just-Now.py Prove Find Me on : GitHub View Github
Read moreThis is the source code accompanying the paper VOS: Learning What You Don’t Know by Virtual Outlier Synthesis by Xuefeng Du, Zhaoning Wang, Mu Cai, and Yixuan Li The codebase is heavily based on ProbDet and Detectron2. Dataset Preparation PASCAL VOC Download the processed VOC 2007 and 2012 dataset from here. The VOC dataset folder should have the following structure: └── VOC_DATASET_ROOT | ├── JPEGImages ├── voc0712_train_all.json └── val_coco_format.json COCO Download COCO2017 dataset from the official website. Download the OOD […]
Read moreThis is the official implementation of the following paper accepted to AISTATS 2022: Distributionally Robust Structure Learning for Discrete Pairwise Markov Networks Yeshu Li, Zhan Shi, Xinhua Zhang, Brian D. Ziebart [Proceeding link TBA] Requirements Quick Start Run Citation Please cite our work if you find it useful in your research: Acknowledgement This project is based upon work supported by the National Science Foundation under Grant No. 1652530. GitHub View Github
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High degree of structural complexity and practical imaging constraints make retrieval ofmacromolecular structures from cryo-ET is very challenging. For image classification oflarge-scale systematic macro-molecular structure from cryo-ET data. For image classification of large-scale systematic macro-molecular structure from cryo-ET data, adeep learning-based image classification approach has been employed to improve theaccuracy for a small range of SNR values where the present models have fallen short.Here, a novel SEC3 model for macro-molecule separation has been used. The model comprises 3D convolutional blocks […]
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Create 3d-printable STLs from satellite elevation data Installation Usage mapa uses numpy and numba under the hood to crunch large amounts of data in little time. 1. Using the dem2stl cli The dem2stl cli lets you create a 3d-printable STL file based on your tiff file. You can run a demo computation to get a feeling of how the output STL will look like: If you have your tiff file ready, you may run something like dem2stl –input your_file.tiff –output […]
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Dataset used: Microsoft News Dataset is a huge dataset for newsrecommendation research.It was collected from anonymousbehavior logs of Microsoft News website.The purpose ofMIND is to serve as a benchmark dataset for newsrecommendation and facilitate the research in newsrecommendation and recommender systems area.MIND contains about 160k English news articles and morethan 15 million impression logs generated by 1 millionusers.We randomly sampled 1 million users who had at least5 news click records during 6 weeks from October 12 toNovember 22, 2019. Every […]
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This repository is the pytorch implementation of various High Dynamic Range (HDR) Imaging algorithms. Please find the details below. Maintenance and Contributors @TianhongDai and @WeiLi-THU Requirements pytorch==1.4.0 opencv-python scikit-image==0.17.2 ToDo List adaptive padding add more baselines Supported Algorthms DeepHDR [1] NHDRRNet [2] AHDR [3] DAHDR [4] Instruction download the Kalantari dataset via: [link], and organize the dataset as follows: dataset │ └───Traning │ │ 001 │ │ 002 │ │ 003 │ | … │ └───Test │ 001 │ 002 […]
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About The Project Are you willing to bet on long-term market growth? Great, this tool calculates how much margin you can take according to your risk-tolerance. (back to top) Built With (back to top) Usage You need to have python and a text editor installed. Edit the file with your numbers Run python margin_calculator.py What does it do? This tool tells you how much you can loan from your broker (e.x. Interactive Brokers), according to your risk tolerance. Assumptions The […]
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