A fine-grained manually annotated named entity recognition dataset

Few-NERD Few-NERD is a large-scale, fine-grained manually annotated named entity recognition dataset, which contains 8 coarse-grained types, 66 fine-grained types, 188,200 sentences, 491,711 entities and 4,601,223 tokens. Three benchmark tasks are built, one is supervised: Few-NERD (SUP) and the other two are few-shot: Few-NERD (INTRA) and Few-NERD (INTER). The schema of Few-NERD is: Few-NERD is manually annotated based on the context, for example, in the sentence “London is the fifth album by the British rock band…“, the named entity London […]

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A 3D Dense mapping backend library of SLAM based on taichi-Lang designed for the aerial swarm

TaichiSLAM This project is a 3D Dense mapping backend library of SLAM based Taichi-Lang, designed for the aerial swarm. Taichi is an efficient domain-specific language (DSL) designed for computer graphics (CG), which can be adopted for high-performance computing on mobile devices. Thanks to the connection between CG and robotics, we can adopt this powerful tool to accelerate the development of robotics algorithms. In this project, I am trying to take advantages of Taichi, including parallel optimization, sparse computing, advanced data […]

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Python library for Junos automation

py-junos-eznc The repo is under active development. If you take a clone, you are getting the latest, and perhaps not entirely stable code. Junos PyEZ is a Python library to remotely manage/automate Junos devices. The user is NOT required: (a) to be a “Software Programmer™”, (b) have sophisticated knowledge of Junos, or (b) have a complex understanding of the Junos XML API. For “Non-Programmers” – Python as a Power Shell This means that “non-programmers”, for example the Network Engineer, can […]

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A C-like hardware description language adding HLS-like automatic pipelining

PipelineC A C-like(1) hardware description language (HDL)(2) adding HLS(high level synthesis)-like automatic pipelining(3) as a language construct/compiler feature. Not actually regular C. But mostly compileable by gcc for doing basic functional verification/’simulation’.This is for convenience as a familiar bare minimum language prototype, not as an ideal end goal. Reach out to help develop something more complex together! Can reasonably replace Verilog/VHDL. Compiler produces synthesizable and human readable+debuggable VHDL. Hooks exist for inserting raw VHDL / existing IP / black boxes. […]

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Explore Your Dataset With Pandas

Do you have a large dataset that’s full of interesting insights, but you’re not sure where to start exploring it? Has your boss asked you to generate some statistics from it, but they’re not so easy to extract? These are precisely the use cases where Pandas and Python can help you! With these tools, you’ll be able to slice a large dataset down into manageable parts and glean insight from that information. In this course, you’ll learn how to: Calculate […]

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A telegram bot that can send you high-quality audio

Music downloader bot Still under development Please Report issues to improve this repo.I will try to fix bugs in next update Music downloader bot is a telegram bot that can send you high-quality audio Features All jio saavn Song,Album and Playlist links are supported Meta data such as Album Art, artist details are present Lyrics are also embeded into the meta data (if available) Deployment Please read all the deployment instructions before deploying the bot This project entirely depends on […]

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Generating Excel 4.0 XLM macro with python

boobsnail BoobSnail allows generating XLM (Excel 4.0) macro. Its purpose is to support the RedTeam and BlueTeam in XLM macro generation.Features: various infection techniques; various obfuscation techniques; translation of formulas into languages other than English; can be used as a library – you can easily write your own generator. Building and Running Tested on: Python 3.8.7rc1 pip install -r requirements.txt python boobsnail.py ___. ___. _________ .__.__ _ |__ ____ _____ |__ / _____/ ____ _____ |__| | | __ / […]

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AI Based COVID-19 Tracker using Deep Learning and facial recognition

Interspace-Beta-Backend Keeping it safe – AI Based COVID-19 Tracker using Deep Learning and facial recognition Usage Train the dataset and provide an unknown image in test directory python facerecog.py Predict the result and then start the script to scan that face. python already_trained.py This whole project was done in one night as a part of Hackathon so if there are any bugs, just report them. GitHub https://github.com/vanshwassan/Interspace-Beta    

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Exemplar-Based Open-Set Panoptic Segmentation Network

EOPSN PyTorch implementation for EOPSN. We propose open-set panoptic segmentation task and propose a new baseline called EOPSN. The code is based on Detectron2 Usage First, install requirements. pip install -r requirements.txt Then, install PyTorch 1.5+ and torchvision 0.6+: conda install -c pytorch pytorch torchvision Finally, you need to install Detectron2. To prevent version conflict, I recommand to install via included detectron2 folders. Regarding installation issue caused from detectron2, please refer to here. cd detectron2 pip install -e ./ Data […]

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Dialogue Discourse-Aware Graph Model and Data Augmentation for Meeting Summarization

DDAMS This is the pytorch code for our IJCAI 2021 paper Dialogue Discourse-Aware Graph Model and Data Augmentation for Meeting Summarization [Arxiv Preprint]. Requirements We use Conda python 3.7 and strongly recommend that you create a new environment: conda create -n ddams python=3.7. Run the following command: pip install -r requirements.txt. Data You can download data here, put the data under the project dir DDAMS/data/xxx. data/ami data/ami/ami: preprocessed meeting data data/ami/ami_qg: pseudo summarization data. data/ami/ami_reference: golden reference for test file. […]

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