Quick program made to generate alpha and delta tables for Hidden Markov Models
Functions for generating Alpha and Delta tables from a Hidden Markov Model. # Transition properties # a[i][j] = probability of traveling to state
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Very Sempil Bot Auto Filter bot
Very Sempil Bot Auto Filter bot##[ # 𝐂𝐋𝐈𝐂𝐊 𝐁𝐄𝐋𝐎𝐖 𝐈𝐌𝐀𝐆𝐄 𝐓𝐎 𝐃𝐄𝐏𝐋𝐎𝐘👇👇👇 Auto Filter Manuel Filter IMDB Admin Commands Broadcast Index IMDB search Fun mode Inline Search Random pics ids and User info Stats, Users, Chats, Ban, Unban, Leave, Disable, Channel ℂ𝕆ℕ𝕋𝔸ℂ𝕋 Installation DEPLOY ON HEROKU
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Diablo II Resurrected Diablo Clone Running Room Mgr
Diablo II Resurrected Diablo Clone Running Room Mgr pip install fastapipip install uvicorn uvicorn init:appINFO: Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit) Just view src/main.py all get method. It’s simply understandable. GitHub View Github
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Time ranges with python
Time ranges. Read the Docs Installation pip timeranges is available on pip: GitHub You can also install the latest version of the code directly from GitHub: pip install git+git://github.com/MicaelJarniac/timeranges Usage For more examples, see the full documentation. 10:00″ time_range = TimeRange(time(0), time(10)) # Check if these times are contained in `time_range` assert
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Nmap automated port scanner written in Python
Nmap automated port scanner written in Python. USE: Clone the module Import the module: from portscanModule import portscanner Use: portscanner.scan(“TARGET IP ADDRESS”, UPPER PORT LIMIT) DISCLAIMER: Much slower than a standalone nmap scan, but convenient 🙂 GitHub View Github
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Demo of spoofing detection (anti-spoof-mn3) for webcams
なりすまし検出(anti-spoof-mn3)のWebカメラ向けデモです。モデルはPINTO_model_zoo/191_anti-spoof-mn3からONNX形式のモデルを使用しています。 mediapipe 0.8.8 or later OpenCV 3.4.2 or later onnxruntime 1.8.1 or later デモの実行方法は以下です。 python demo_anti_spoof.py –deviceカメラデバイス番号の指定デフォルト：0 –widthカメラキャプチャ時の横幅デフォルト：1280 –heightカメラキャプチャ時の縦幅デフォルト：720 –model_selectionモデル選択(0：2m以内の検出に最適なモデル、1：5m以内の検出に最適なモデル)デフォルト：0 –min_detection_confidence検出信頼値の閾値デフォルト：0.7 –as_modelなりすまし検出モデルの格納パスデフォルト：anti-spoof-mn3/model_float32.onnx –as_input_sizeなりすまし検出モデルの入力サイズデフォルト：128,128 高橋かずひと(https://twitter.com/KzhtTkhs) FaceDetection-Anti-Spoof-Demo is under MIT License. GitHub View Github
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Script to calculate delegator epoch returns for all pillars
Script to calculate estimated delegator epoch returns for all Pillars, so you can delegate to the best one. You can find me on TG: @vibeznn If you’d like to donate for future scripts and data science projects on/around NoM please send to:z1qpn04kmqdn9qyx45znwr2stnerqm8rg0y2vdm8 Thanks! Usage You can run this script from an IDE or from commandline with “python3 delegator_calculator.py”.*When you run this script it defaults to 100 znn delegation size, so the epochRewardsForMe columns is equal to daily APR. You can […]
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Sample Prior Guided Robust Model Learning to Suppress Noisy Labels
This repo is the official implementation of our paper “Sample Prior Guided Robust Model Learning to Suppress Noisy Labels“. Citation If you use this code/data for your research, please cite our paper “Sample Prior Guided Robust Model Learning to Suppress Noisy Labels“. @misc{chen2021sample, title={Sample Prior Guided Robust Model Learning to Suppress Noisy Labels}, author={Wenkai Chen and Chuang Zhu and Yi Chen}, year={2021}, eprint={2112.01197}, archivePrefix={arXiv}, primaryClass={cs.CV} } Training Take CIFAR-10 with 50% symmetric noise as an example: First, please modify the […]
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