Tensorflow2 Keras-based Semantic Segmentation Models Implementation
UNet: https://link.springer.com/content/pdf/10.1007/978-3-319-24574-4_28.pdf
SegNet: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7803544
FusionNet: https://arxiv.org/ftp/arxiv/papers/1612/1612.05360.pdf
DeepLabV3+: https://arxiv.org/pdf/1802.02611.pdf
Selene is a Python library and command line interface for training deep neural networks from biological sequence data such as genomes.
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Abstract DeeProb-kit is a Python library that implements deep probabilistic models such as various kinds of Sum-Product Networks, Normalizing Flows an
captcha_tf2 验证码识别 深度学习 tensorflow 神经网络 使用卷积神经网络，对字符，数字类型验证码进行识别，tensorflow使用2.0以上 目前项目还在更新中,诸多bug，欢迎提出issue和PR, 希望和你一起共同完善项目。 实例demo 训练过程 优化器选择: Adam
Neural Retrieval Embedding-based Zero-shot Retrieval through Query Generation leverages query synthesis over large corpuses of unlabeled text (such as
The AWS Certified SysOps Administrator – Associate (SOA-C02) exam is intended for system administrators in a cloud operations role who have at least 1 year of hands-on experience with deployment, man
WhyNot Estimators A collection of causal inference estimators implemented in Python and R to pair with the Python causal inference library whynot. For
STaCK: Sentence Ordering with Temporal Commonsense Knowledge This repository contains the pytorch implementation of the paper STaCK: Sentence Ordering
Real-time stock predictions with deep learning and news scraping This repository contains a partial implementation of my bachelor's thesis "Real-time
Py2CUDA Convert python code to CUDA. Usage To convert a python file say named py_file.py to CUDA, run python generate_cuda.py --file py_file.py --arch
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