Deep Learning, NLP, NMT, AI, ML
Pretty tornado wrapper for making lightweight REST API services Installation: Example: Project folders structure: . ├── handlers │ └── simple_handler.py ├── log ├── ssl │ ├── ca.csr │ └── ca.key ├── static_html │ └── index.html └── server_example.py server_example.py
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This repository contains the implementation of AdaptConv for point cloud analysis. Adaptive Graph Convolution (AdaptConv) is a point cloud convolution operator presented in our ICCV2021 paper. If you find our work useful in your research, please cite our paper. Installation Classification classification.md Part Segmentation Indoor Segmentation coming soon GitHub https://github.com/hrzhou2/AdaptConv-master
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StableNet is a deep stable learning method for out-of-distribution generalization. This is the official repo for CVPR21 paper “Deep Stable Learning for Out-Of-Distribution Generalization” and the arXiv version can be found at https://arxiv.org/abs/2104.07876. Introduction Approaches based on deep neural networks have achieved striking performance when testing data and training data share similar distribution, but can significantly fail otherwise. Therefore, eliminating the impact of distribution shifts between training and testing data is crucial for building performance-promising deep models. Conventional methods assume […]
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This bot can mention members upto 10,000 in groups and can mention members upto 200 in channels ! 🏷Infomation Language: Python. Telegram Library: Telethon. 🚀Deploy to heroku 🎯Credits and Other Do not forget to follow me on Github ✌️ GitHub https://github.com/AnjanaMadu/MentionAllBot
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An async library to interact with the https://revolt.chat api. This library will be focused on making bots and i will not implement anything only for user accounts. Support server: https://app.revolt.chat/invite/FDXER6hr Documentation is here Example More examples in the examples folder import revolt import asyncio import aiohttp class Client(revolt.Client): async def on_message(self, message: revolt.Message): if message.content == “hello”: await message.channel.send(“hi how are you”) async def main():
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GUI tool to embed metadata for albums on Youtube with youtube-dl. Requires youtube-dl v2021.06.06. Post-processing Album metadata: ytrake is cross-platform and is a single python script: python3 ytrake.py GitHub https://github.com/jakedolan443/ytrake
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An experimental Fang Song style Chinese font generated with skeleton-tracing and pix2pix, with glyphs based on cwTeXFangSong. The font is optimised for vertical typesetting. Below is a sample: The font contains roughly 13,000 glyphs, mostly for traditional Chinese. I created the font for one of my own projects. The font is admittedly not perfect, but nevertheless have many ineteresting features; therefore I am sharing the font file and programs used to generate it. Download the font directly at dist/tkFangSong.ttf. The […]
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ICCV 2021 Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting Baseline of DKPNet is available. Currently, only code of DKPNet-baseline is released. In fact, MSE in our paper is equivalent to RMSE in academic papers. Please use the word RMSE instead of MSE when refering to the corresponding numerical values in our paper. We are sorry for the mistake and can do nothing to corret it after the camera-ready version deadline. Download the datasets ShanghaiTech A, ShanghaiTech […]
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Unofficial client for Deta Clound Install Supported functionality Deta Base Deta Drive Decorator for cron tasks Examples import asyncio from aiodeta import Deta DETA_PROJECT_KEY = “xxx_yyy” async def go(): db_name = “users” # Initialize Deta client deta = Deta(DETA_PROJECT_KEY) # Initialize Deta Base client base = deta.Base(db_name)
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Home Assistant integration for energy consumption data from UK SMETS (Smart) meters using the Hildebrand Glow API. This integration works without requiring a consumer device provided by Hildebrand Glow and can work with your existing smart meter. You’ll need to set up your smart meter for free in the Bright app on Android or iOS. This will only work when using the Data Communications Company (DCC) backend, which all SMETS 2 meters and some SMETS 1 meters do (more information). […]
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