Deep Learning, NLP, NMT, AI, ML
This python script was created while I was working on the TryHackMe room for Log4j. While this was created with default variables for this room, I used argparse to make the script versatile for a GET request. All necessary varaibles can be changed with different options, see -h for more information. Only my script is hosted here, this requires two other downloads to run properly which I will give links for, but setting up the folders the way I did […]
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Surveillance and notification system for Raspberry Pi About The surveillance system in this repository is based on the tutorial “How to Run TensorFlow Lite Object Detection Models on the Raspberry Pi (with Optional Coral USB Accelerator)” by EdjeElectronics. The code in TFLite_detection_webcam.py comes directly from this tutorial but is slightly modified to save images and enable remote execution. GitHub View Github
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2048 Created by Chad Palmer for CPSC 474, Fall 2021 Overview: This is an application which can play 2048 and simulate games of 2048 with a variety of different computational intelligences, the highest performing of which is MCTS. With MCTS with 1000 iterations (./Driver -simulate m 1000 -display), the agent achieves scores comparable to a skilled human player (usually wins, occasionally achieves the 4096 tile). Flat Monte Carlo also works very well. The entire program runs a bit slower than […]
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Example Python project that demonstrates how to create a tested Python package using the latestPython testing and linting tooling. The project contains a fact package that provides a simpleimplementation of the factorial algorithm (fact.lib)and a command line interface (fact.cli). Requirements Python 3.6+. Note Because Python 2.7 support ended January 1, 2020, new projectsshould consider supporting Python 3 only, which is simpler than trying to support both. As aresult, support for Python 2.7 in this example project has been dropped. Windows […]
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한국어 문서 Introduction CaptchaCracker is an open source Python library that provides functions to create and apply deep learning models for Captcha Image recognition. You can create a deep learning model that recognizes numbers in the Captcha Image as shown below and outputs a string of numbers, or you can try the model yourself. Input Output Installation pip install CaptchaCracker Dependency
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Custom component BMP180 sensor for Home Assistant. Copy the content of this directory to your homeassistant config directory: example: ./config/custom_components/dev_747_BMP180/ ##Requirements:Enable I2C communication in Raspberry via raspi-config and install dependencies for handeling I2C communication in Python sudo apt-get update sudo apt-get install python3-smbus python3-dev i2c-tools ##Parameters: i2c_address: I2C address of BMP180 (typical 0x77) i2c_bus_num: I2C bus number (default raspberry = 1) name: custom name of the sensor mode: 0 – Ultra low power, 1 – standard, 2 – high resolution, […]
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Message Encrypt and decrypt software // allows you to encrypt the secrete message and decrypt Another Encryption Message. | Requirements Install Base64 for Encryption and Decrpytion To Install This Module Follow This Step pip install base64 If You Don’t Have Last version Pip Upgrade First And InstallTo Upgrade Pip Write This Command On The Command Prompt python -m pip install –upgrade pip Encrpytion Mode Decryption Mode GitHub View Github
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Trevor Ablett*, Bryan Chan*, Jonathan Kelly (*equal contribution) Poster at Neurips 2021 Deep Reinforcement Learning Workshop Adversarial Imitation Learning (AIL) is a technique for learning from demonstrations that helps remedy the distribution shift problem that occurs with Behavioural Cloning. Empirically, we found that for manipulation tasks, off-policy AIL can suffer from inefficient or stagnated learning. In this work, we resolve this by enforcing exploration of a set of easy-to-define auxiliary tasks, in addition to a main task. This repository contains […]
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