Deep Learning, NLP, NMT, AI, ML
Basic Form Web Development using Python, Django and CSS This is a basic project that contains two forms – borrow and donate.The form data includes User’s Details, Book Name, Book Code, etc. The forms data are stored in 2 seperate csv files. The backend of the Forms have been completed. To be noted: Do not pay attention to the front-end as the project was for the Back-end GitHub View Github
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Backend use: Django Features Enhanced Ui Slug Handling Large scale user handling Clean Database Prototype: FrameWorks Used: Pillow django-froala-editor django_rest_framework Specially Made for: Aiforkids business App🙂 Admin password: 1234 GitHub View Github
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Web Data Processing System Assignment 1 – 2021 – Group 26 Zhining Bai Bowen Lyu Tianshi Chen Yiming Xu Description This is a Python program to Entity Linking by processing WARC files. We recognize entities from web pages and link them to a Knowledge Base(Wikidata). The pipeline for this program as below: Read WARC Use pyspark to read large-scale warc files, so the program supports parallel computing. Extract text information from HTML files by using beautifulsoup. Named entity recognition Extract […]
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A simple cli utility for importing or exporting dashboard json definitions using the Grafana HTTP API. This may be useful for: Backing up your dashboards that already exist within your Grafana instance, e.g. if you are migrating from the internal sqlite database to MySQL. Updating dashboard files for your Infrastructure-as-Code, for use with Grafana dashboard provisioning. Making tweaks to dashboard JSON files directly and updating Grafana with one command. Notable features: Mirrors the folder structure between a local set of […]
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A web Scraper for CSrankings.com that scrapes University and Faculty list for a particular country To run the file: Open terminal ans installl requiremnts.txt file Run CsRankingUnivList.py in terminal to scrape University data of all countries in the webpage. Run CsRankingFacList.py in terminal that lists Area wise (AI,Systems, InterDisciplinary, Theory) Faculty and thier Google Scholar and DBLP info in folders. Universities of a particualr country are listed in a new worksheet. GitHub View Github
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Install the requirements with pip install -r requirements.txt Get your token from BotFatherGet your UserId with Nicegram or with UserinfoBot Open config.iniInsert you Token and you UserID, without quotation marks. Start the bot with python3 main.py GitHub View Github
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これはなに 競技プログラミングなどのライブラリをlineディテクティブを付けて一つのファイルにします。 Usage -add_lib_to_templ |-LICENSE |-README.md |-rend.py |-template.cpp.j2 |-あなたのC++ライブラリ（ディレクトリ） 上のようなディレクトリ構造にします。 $ pip install Jinja2 をした後 $ python rend.py とするとadd_lib_to_templ内にライブラリの中身が入ったcppファイルが出来上がります（デフォルトの名前がtemplate.cppになっています）。 ちなみに、template.cpp.j2の{% for file in files_data %}の前と{% endfor %}の後は編集して大丈夫です。お好みのテンプレートを作ってみてください。 Option -o レンダリングされたC++プログラムを保存するファイルの名前を指定します。デフォルト値はtemplate.cppです。 $ python rend.py -o mytmp.cpp –encode ファイルの読み込み、書き込みを行うときの文字コードを指定します。デフォルト値はutf-8です。 $ python rend.py –encod utf-16 GitHub View Github
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Prerequisites python 3 Program Il programma legge il file creato da shazam (shazamlibrary.csv) contenete la lista delle canzoni precedentemente “Shazammate” e creerà inizialmente un file: songlist.txt -> questo file contiene le canzoni presenti nel file di input nel formato AUTORE – CANZONE Se nel file sono presenti doppioni non verranno inseriti nel primo file sopra citato, ma verranno inseriti in un secondo file (che verrà creato solo se sono presenti dei doppioni): songduplicates.txt Il file è scaricabile al seguente link: […]
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