Notes

A project designed to make taking notes easier than ever – by doing it all on command line

A project designed to make taking notes easier than ever – by doing it all on command line! Yes, all of your files are easily accessible through one command interface, and can be written to at any time! #ad #sponsored Honestly, I’m just making this as a curiosity for when I go back to school in the spring.My goal is to minimize effort and maximize note efficiency, making all of my notes easily accessible and well organized.Each entry you make […]

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Command-line Tools

Command-line tool to use LNURL with your LND instance

Commandline tool to use LNURL payRequest and withdrawRequest with LND. Usage: Customize config lndlnurl.conf Run python main.py Docker: docker run -t -i –rm -v cred:/code/cred:ro -v $PWD/lndlnurl.conf:/code/lndlnurl.conf ghcr.io/dsbaars/lnd-lnurl LNURL1DP68GURN8GHJ7MRWW3UXYMM59E3K7MF0D3H82UNV9ACXZ7FLW4EK2UNFVS7NXWPKXSURYYAF0CA Docker (on Umbrel machines): docker run -t -i –rm –network=”umbrel_main_network” -v ~/umbrel/lnd:/.lnd:ro -v $PWD/lndlnurl.conf:/code/lndlnurl.conf ghcr.io/dsbaars/lnd-lnurl:latest LNURL1DP68GURN8GHJ7MRWW3UXYMM59E3K7MF0D3H82UNV9ACXZ7FLW4EK2UNFVS7NXWPKXSURYYAF0CA Create alias Add the following to your .bash_profile

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Frequency

Correcting typos in a word based on the frequency dictionary

Correcting typos in a word based on the frequency dictionary. This algorithm is based on the distance between words according to the Levenshtein-Damerau algorithm, and the frequency of words in the language. There is a choice of three functions for calculating the best option: linear, exponential and exponential. The parameters for these functions are user-definable. 05.12.2021 Python 3.9.4 Package: csv, logging, typing Author: https://github.com/anton2yakovlev GitHub View Github    

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Facebook NLP Research
NLP

Interpretable agent communication from scratch (with a generic visual processor emerging on the side)

Abstract As deep networks begin to be deployed as autonomous agents, the issue of how they can communicate with each other becomes important. Here, we train two deep nets from scratch to perform large-scale referent identification through unsupervised emergent communication. We show that the partially interpretable emergent protocol allows the nets to successfully communicate even about object classes they did not see at training time. The visual representations induced as a by-product of our training regime, moreover, when re-used as […]

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Facebook NLP Research
NLP

Pay Better Attention to Attention: Head Selection in Multilingual and Multi-Domain Sequence Modeling

Abstract Multi-head attention has each of the attention heads collect salient information from different parts of an input sequence, making it a powerful mechanism for sequence modeling. Multilingual and multi-domain learning are common scenarios for sequence modeling, where the key challenge is to maximize positive transfer and mitigate negative interference across languages and domains. In this paper, we find that non-selective attention sharing is sub-optimal for achieving good generalization across all languages and domains. We further propose attention sharing strategies […]

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Workflow

A fork of the BakeTool with some improvements that I did to have better workflow

This is a fork of the BakeTool with some improvements that I did to have better workflow. 99.99% of work was done by BakeTool team. But as there is no public git repository and as it was hard for me to contact the team with my bug-fixes and extra features, I decided to setup this repo. I think, that Blender baking workflow, as it is without any add-ons, is the worst, that can be imagined. At least, I can’t imagine […]

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Methods

Enhancing Twin Delayed Deep Deterministic Policy Gradient with Cross-Entropy Method

Hieu Trung Nguyen, Khang Tran and Ngoc Hoang Luong Setup $ git clone https://github.com/junhill-2000/eTD3.git $ cd eTD3 The following packages are needed: tianshou==0.4.4 gym==0.19.0 mujoco_py==2.0.2.13 (need to install mujoco200 from http://www.mujoco.org/) Usage train agent with eTD3 python3 mujoco_td3_mod_v3.py –task [environment_name] –seed [seed] –logdir [log_directory] Visualize (comming soon) Acknowledgement Our source code is    

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Airplane

Airplane reservation system python 2

Announcement 🔊: 🔴IMPORTANT🔴 :Few new things have been added into the code [16/05/2021] different names is asked for each seat different phone number is asked for each seat All the issues present in the first program have been fixed in this one with more adaptations If you want the code before this change you can access that code here 🔵OTHER🔵: Adding new exception handeling cases soon A Train Seat Reservation system program is still a work in progress License and […]

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Transformer

Dense Prediction Transformers For Python

Vision Transformers for Dense Prediction This repository contains code and models for our paper: Vision Transformers for Dense PredictionRené Ranftl, Alexey Bochkovskiy, Vladlen Koltun Changelog [March 2021] Initial release of inference code and models Setup Download the model weights and place them in the weights folder: Monodepth: Segmentation: Set up dependencies: pip install -r requirements.txt The code was tested with Python 3.7, PyTorch 1.8.0, OpenCV 4.5.1, and timm 0.4.5 Usage Place one or more input images in the folder input. […]

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