Lottery Purchase Prediction Model

Lottery Purchase Prediction Model Objective and Goal Predict the lottery type that the user in the session will buy, using the discrete features from the user face image and user’s historical purchase data. Recommend lottery types to users and improve the order conversion rate, in order to increase sales revenue. Data Source The feature from the user face image in the Session (from Baidu Face Recognition API): Beauty, Expression, Emotion, Face ID (optional, only for old users) Other features from […]

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Text Summarization using NLP to fetch BBC News Article and summarize its text and also it includes custom article Summarization

Text Summarization using NLP to fetch BBC News Article and summarize its text and also it includes custom article Summarization Features Of Data Analysis Web App Get your custom Text Summarized. we automatically Summarize text of BCC News so that you dont have to read whole article. Check out the live demo: https://text–summarization.herokuapp.com/ Vedio demo: Use this URL – Click Me – in case if you are faccing any problem with source code. Source Code: github link How to run […]

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Python any(): Powered Up Boolean Function

As a Python programmer, you’ll frequently deal with Booleans and conditional statements—sometimes very complex ones. In those situations, you may need to rely on tools that can simplify logic and consolidate information. Fortunately, any() in Python is such a tool. It looks through the elements in an iterable and returns a single value indicating whether any element is true in a Boolean context, or truthy. In this course, you’ll learn how to: Use any() and not any() Elimate long or […]

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Reinforcement learning with wordle and open-ai gym

The aim of this project is to build an AI bot that can play the Wordle game, or more generally Squabble I know there are more deterministic approaches using statistics and log-likelihood that might be more efficient, but I am trying this to for the clickbait title that I’d give my blog if this ends up working Current status Setup wordle-gym environment Train some basic algorithms Finetune the RL algos to be performant Generalize to Squabble esque environment GitHub View […]

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An algorithm for exploiting Reinforcement Learning (RL) on Multi-agent Path Finding tasks

PICO is an algorithm for exploiting Reinforcement Learning (RL) on Multi-agent Path Finding tasks.It is developed by the Multi-Agent Artificial Intelligence Lab (MAIL) in East China Normal University and the AI Research Institute in Geekplus Technology Co., Ltd.PICO is constructed based on the framework of PRIMAL:Pathfinding via Reinforcement and Imitation Multi-Agent Learning and focuses more on the collision avoidance rather than manual post-processing when collision occurs.Exploiting the design of decentralized communication and implicit priority in these secenarios benifits better path […]

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A tool to send multiple requests to a particular website written in Python

Table of Contents About The Project Getting Started Contributing License Contact About The Project Note – This project can also be used for “DDoSing” and this project is only made for educational purposes only. (back to top) Built Using (back to top) Getting Started Soon Prerequisites Look at requirements.txt File to see all the required packages for this project! Installation Soon (back to top) Contributing Contributions are what make the open source community such an amazing place to learn, inspire, […]

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This project is to help someone need some practices when learning python language

This project is to help someone need some practices when learning python language. Description simple-http A simple web server string-stream Redirect stdout/stderr to StringIO ascii-art Implement simple ascii art render logger-testing Test some logger implementation term-clock A simple terminal clock demo-ngram A simple language detector using ngram demo demo-filelock A filelock demo struct-tree A tree struct demo skin-detect Skin detector to check naked image safe-shutil Safe shutil to copy/move/rm files flask-bench A benchmark to Flask server with different deployment GitHub […]

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Learning Signed Distance Field for Multi-view Surface Reconstruction

This is the official implementation for the ICCV 2021 paper Learning Signed Distance Field for Multi-view Surface Reconstruction In this work, we introduce a novel neural surface reconstruction framework that leverages the knowledge of stereo matching and feature consistency to optimize the implicit surface representation. More specifically, we apply a signed distance field (SDF) and a surface light field to represent the scene geometry and appearance respectively. The SDF is directly supervised by geometry from stereo matching, and is refined […]

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