Script to calculate delegator epoch returns for all pillars

Script to calculate estimated delegator epoch returns for all Pillars, so you can delegate to the best one. You can find me on TG: @vibeznn If you’d like to donate for future scripts and data science projects on/around NoM please send to:z1qpn04kmqdn9qyx45znwr2stnerqm8rg0y2vdm8 Thanks! Usage You can run this script from an IDE or from commandline with “python3 delegator_calculator.py”.*When you run this script it defaults to 100 znn delegation size, so the epochRewardsForMe columns is equal to daily APR. You can […]

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Sample Prior Guided Robust Model Learning to Suppress Noisy Labels

This repo is the official implementation of our paper “Sample Prior Guided Robust Model Learning to Suppress Noisy Labels“. Citation If you use this code/data for your research, please cite our paper “Sample Prior Guided Robust Model Learning to Suppress Noisy Labels“. @misc{chen2021sample, title={Sample Prior Guided Robust Model Learning to Suppress Noisy Labels}, author={Wenkai Chen and Chuang Zhu and Yi Chen}, year={2021}, eprint={2112.01197}, archivePrefix={arXiv}, primaryClass={cs.CV} } Training Take CIFAR-10 with 50% symmetric noise as an example: First, please modify the […]

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Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

Acknowledgement We implement our model, BtcDet, based on [OpenPcdet 0.3.0]. Installation Requirements All the codes are tested in the following environment: Install b. Install the dependent libraries as follows: Install the dependent python libraries: pip install -r requirements.txt Install the SparseConv library, we use the implementation from [spconv]. If you use PyTorch 1.1, then make sure you install the spconv v1.0 with (commit 8da6f96) instead of the latest one. If you use PyTorch 1.3+, then you need to install the […]

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Text Summarization using Transformer on GPU Docker Deployment

Deploying a Text Summarization NLP use case on Docker Container Utilizing Nvidia GPU, to setup the enviroment on linux machine follow up the below process, make sure you should have a good configuration system, my system specs are listed below(I am utilizing DataCrunch Servers) : GPU : 2xV100.10V Image : Ubuntu 20.04 + CUDA 11.1 Some Insights/Explorations If you’re a proper linux user make sure to setup it CUDA, cudaNN and Cuda Toolkit If you’re a WSL2 user then you […]

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Masked-attention Mask Transformer for Universal Image Segmentation

Bowen Cheng, Ishan Misra, Alexander G. Schwing, Alexander Kirillov, Rohit Girdhar [arXiv] [Project] [BibTeX] Features A single architecture for panoptic, instance and semantic segmentation. Support major segmentation datasets: ADE20K, Cityscapes, COCO, Mapillary Vistas. Installation See installation instructions. Getting Started See Preparing Datasets for Mask2Former. See Getting Started with Mask2Former. Advanced usage See Advanced Usage of Mask2Former. Model Zoo and Baselines We provide a large set of baseline results and    

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A simple python stock Predictor

A simple python stock Predictor Demo Run Locally Clone the project git clone https://github.com/yashraj-n/stock-price-predictor Go to the project directory Install dependencies pip install autots numpy pandas matplotlib seaborn Run Usage/Examples To download dataset,Visit Yahoo Finance, search for your desired stock/cryptocurrency Then, goto historical dataset and click on download

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Simple Weather Check base on Hefeng api, Work on raspberry Pi

Simple Weather Check base on Hefeng api, Work on raspberry Pi 简单基于和风天气的查询 可以被树莓派使用 Use git clone https://github.com/DDizzzy79/LCD1602HeWeatherPull.git Then cd LCD1602HeWeatherPullThen Use [email protected]:~ $ sudo apt-get install i2c-tools    [email protected]:~ $ sudo apt-get install python-smbus    [email protected]:~ $ sudo i2cdetect -y 1  TO find your i2c Ports, Ater that, config The LCD1602.py File , Change The i2c setting to the one you foundAlso, In order to set the ports of i2c between RaspberryPi , Use gpio readall to check   To […]

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An open-source project for long-tail classification

Supported Methods for Long-tailed Recognition: Reproduce Results Here we simply show part of results to prove that our implementation is reasonable. ImageNet-LT Method Backbone Reported Result Our Implementation CE ResNet-10 34.8 35.3 Decouple-cRT ResNet-10 41.8 41.8 Decouple-LWS ResNet-10 41.4 41.6 BalanceSoftmax ResNet-10 41.8 41.4 CE ResNet-50 41.6 43.2 LDAM-DRW* ResNet-50 48.8 51.2 Decouple-cRT ResNet-50 47.3 48.7 Decouple-LWS ResNet-50 47.7 49.3 CIFAR100-LT (Imbalance Ratio 100) ${dagger}$ means the reported results are copied from LADE    

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Free,Cross-platform,Single-file mass network protocol server simulator

Free,Cross-platform,Single-file mass network protocol server simulator Description FaPro is a Fake Protocol Server tool, Can easily start or stop multiple network services. The goal is to support as many protocols as possible, and support as many deep interactions as possible for each protocol. Demo Site Features Supported Running Modes: Local Machine Virtual Network Supported Protocols: DNS DCE/RPC EIP Elasticsearch FTP HTTP IEC 104 Memcached Modbus

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Play Video & Music on Telegram Group Video Chat

ʜᴇʟʟᴏ ❤️🇱🇰 Join us ᴠɪᴅᴇᴏ sᴛʀᴇᴀᴍ ɪs ᴀɴ ᴀᴅᴠᴀɴᴄᴇᴅ ᴛᴇʟᴇʀᴀᴍ ʙᴏᴛ ᴛʜᴀᴛ’s ᴀʟʟᴏᴡ ʏᴏᴜ ᴛᴏ ᴘʟᴀʏ ᴠɪᴅᴇᴏ & ᴍᴜsɪᴄ ᴏɴ ᴛᴇʟᴇɢʀᴀᴍ ɢʀᴏᴜᴘ ᴠɪᴅᴇᴏ ᴄʜᴀᴛ 🧪 ɢᴇᴛ sᴇssɪᴏɴ ɴᴀᴍᴇ ғʀᴏᴍ ʙᴇʟᴏᴡ: Pyrogram ᴘʀᴇᴠɪᴇᴡ ғᴇᴀᴛᴜʀᴇs ᴍᴜsɪᴄ & ᴠɪᴅᴇᴏ sᴛʀᴇᴀᴍ sᴜᴘᴘᴏʀᴛ ᴍᴜʟᴛɪᴄʜᴀᴛ sᴜᴘᴘᴏʀᴛ ᴘʟᴀʏʟɪsᴛ & ǫᴜᴇᴜᴇ sᴜᴘᴘᴏʀᴛ sᴋɪᴘ, ᴘᴀᴜsᴇ, ʀᴇsᴜᴍᴇ, sᴛᴏᴘ ғᴇᴀᴛᴜʀᴇ ᴍᴜsɪᴄ & ᴠɪᴅᴇᴏ ᴅᴏᴡɴʟᴏᴀᴅᴇʀ ғᴇᴀᴛᴜʀᴇ ɪɴʟɪɴᴇ sᴇᴀʀᴄʜ sᴜᴘᴘᴏʀᴛ ʏᴏᴜᴛᴜʙᴇ ᴅɪʀᴇᴄᴛ sᴇᴀʀᴄʜ sᴜᴘᴘᴏʀᴛ    

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