linkedin / detext
DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks
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DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks
Public release of the TransCoder research project https://arxiv.org/pdf/2006.03511.pdf
Comprehensive Python Cheatsheet
PyTorch implementation of YOLOv4
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Official tensorflow implementation for CVPR2020 paper “Learning to Cartoonize Using White-box Cartoon Representations”
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
PFRL: a PyTorch-based deep reinforcement learning library
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Open source text annotation tool for machine learning practitioner.
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fsociety Hacking Tools Pack – A Penetration Testing Framework
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FastAPI framework, high performance, easy to learn, fast to code, ready for production
Open deep learning compiler stack for cpu, gpu and specialized accelerators
keras implement of transformers for humans
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
An open-source NLP research library, built on PyTorch.
Generic Signature Format for SIEM Systems
Deep Learning Examples
EyeWitness is designed to take screenshots of websites, provide some server header info, and identify default credentials if possible.
AWS Serverless Application Model (SAM) is an open-source framework for building serverless applications
这是一个YoloV4-pytorch的源码,可以用于训练自己的模型。