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2019百度的关系抽取比赛，使用Pytorch实现苏神的模型，F1在dev集可达到0.75，联合关系抽取，Joint Relation Extraction.
Machine Learning · GitHub
Train, evaluate, and run machine learning models.
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yolort
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yolort is a runtime stack for yolov5 on specialized accelerators such as tensorrt, libtorch, onnxruntime, tvm and ncnn.
HSCRF-pytorch
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ACL 2018: Hybrid semi-Markov CRF for Neural Sequence Labeling (http://aclweb.org/anthology/P18-2038)
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RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.
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lcnn
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PointPillars
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A Simple PointPillars PyTorch Implementation for 3D LiDAR(KITTI) Detection.
Random-Erasing
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pytorch_chinese_lm_pretrain
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MeanFlow
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519stars
Pytorch implementation of MeanFlow on ImageNet and CIFAR10
INSTA
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CXXGraph
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Network-Security-Based-On-ML
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SimAM
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505stars
The official pytorch implemention of our ICML-2021 paper "SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks".
INTACT-JEPA
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OpenUE
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