Deep Learning, NLP, NMT, AI, ML
(formerly Codalab Competitions v2) Installation $ cp .env_sample .env $ docker-compose up -d $ docker-compose exec django ./manage.py migrate $ docker-compose exec django ./manage.py generate_data $ docker-compose exec django ./manage.py collectstatic –noinput You can now login as username “admin” with password “admin” at http://localhost:8000 If you ever need to reset the database, use the script ./reset_db.sh Running tests # Non “end to end tests” $
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Introduction Inventory managemrnt system is an open source platform for manage business. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets businesses push to manage their system most effectively. This is a software for practice of developing a system from completely scratch. Understanding this will help a lot in system development and basic structure of a system along with GUI with python library Tkinter. This software was originally developed by Amit Kumar Datta This project […]
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This is a simple library to play video files in tkinter. This library also provides the ability to play , pause, skip and seek specific frames. Example: import tkinter as tk from tkVideoPlayer import TkinterVideo root = tk.Tk() videoplayer = TkinterVideo(master=root, scaled=True, pre_load=False) videoplayer.load(r”samplevideo.mp4″) videoplayer.pack(expand=True, fill=”both”) videoplayer.play() # play the video root.mainloop() read the documentation here
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Unofficial PyTorch implementation of SimCLR by Google Brain [abs, pdf] Installation You can install the package via pip: pip install simclr_pytorch Usage You can use the SimCLR model like so: from simclr_pytorch import SimCLR train_loader = … bigcnn = ResNet50(…) simclr = SimCLR( image_size=(32, 32), bigcnn=bigcnn ) trained_bigcnn = simclr.fit(train_loader)
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arXiv | BibTeX | Project Page This repo contains code for single GPU training of LayoutTransformer from LayoutTransformer: Layout Generation and Completion with Self-attention. This code was rewritten from scratch using a cleaner GPT codebase. Some of the details such as training hyperparameters might differ from the arxiv version of the paper. How To Use This Code Start a new conda environment conda env create -f environment.yml conda activate layout or update an existing environment conda env
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How to contribute and current situation (9/11/2021~) I have been working as a full-time AI engineer and barely have free time to manage this project any more. I want to make a simple guidance of how to response to contributions: For exercises that have no answer yet, (for example, chapter 12) Prepare your latex code, make sure it works and looks somewhat nice. Send you code to [email protected]. By default, I will put contributer’s name in the pdf file, besides […]
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Aiohttp admin Demo site | Demo source code. The aiohttp admin is a library for build admin interface for applications based on the aiohttp. With this library you can ease to generate CRUD views for your data (for data storages which support by aiohttp admin) and flexibly customize representation and access to these. Installation The first step which you need to do it’s installing library pip install aiohttp_admin2
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