基于 bert4keras 的一个baseline 不作任何 数据trick 单模 线上 最高可到 0.7891 # 基础 版 train.py 0.7769 # transformer 各层 cls concat 明神的trick https://xv44586.github.io/2021/01/20/ccf-qa-2/ train_concat.py 0.7786 # 使用那个FGM对抗 train_FGM.py 0.7891 # 苏神提出的 PET train_PET.py 0.7812 预训练模型使用 nezha 使用说明： 数据放在 data下 下载预训练模型解压 模型会保存在 train中 优化方向： 1，融合🙃 bert4keras >= 0.10.0 nezha的预训练模型 链接: https://pan.baidu.com/s/1lURyXs39PYnsb4imCjVkfQ 密码: 1eqq --来自百度网盘超级会员V4的分享
“英特尔创新大师杯”深度学习挑战赛 赛道3：CCKS2021中文NLP地址相关性任务
Overview
Myia prototyping
Myia Myia is a new differentiable programming language. It aims to support large scale high performance computations (e.g. linear algebra) and their g
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Learning and Building Convolutional Neural Networks using PyTorch
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TorchX: A PyTorch Extension Library for More Efficient Deep Learning
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a practicable framework used in Deep Learning. So far UDL only provide DCFNet implementation for the ICCV paper (Dynamic Cross Feature Fusion for Remote Sensing Pansharpening)
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PyTorch Code for NeurIPS 2021 paper Anti-Backdoor Learning: Training Clean Models on Poisoned Data.
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Code for the paper "Adapting Monolingual Models: Data can be Scarce when Language Similarity is High"
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SpanNER: Named EntityRe-/Recognition as Span Prediction
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For the paper entitled ''A Case Study and Qualitative Analysis of Simple Cross-Lingual Opinion Mining''
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1 Nov 10, 2021
Official implementation of the ICCV 2021 paper: "The Power of Points for Modeling Humans in Clothing".
The Power of Points for Modeling Humans in Clothing (ICCV 2021) This repository contains the official PyTorch implementation of the ICCV 2021 paper: T
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AFL binary instrumentation
E9AFL --- Binary AFL E9AFL inserts American Fuzzy Lop (AFL) instrumentation into x86_64 Linux binaries. This allows binaries to be fuzzed without the
242 Dec 12, 2022
Categorical Depth Distribution Network for Monocular 3D Object Detection
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Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"
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35 Nov 25, 2022
Industrial knn-based anomaly detection for images. Visit streamlit link to check out the demo.
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Implementation of RegretNet with Pytorch
Dependencies are Python 3, a recent PyTorch, numpy/scipy, tqdm, future and tensorboard. Plotting with Matplotlib. Implementation of the neural network
1 Nov 05, 2021
Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using coresets and data selection.
COResets and Data Subset selection Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order
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Lightweight stereo matching network based on MobileNetV1 and MobileNetV2
MobileStereoNet: Towards Lightweight Deep Networks for Stereo Matching
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Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
Think Bayes 2 by Allen B. Downey The HTML version of this book is here. Think Bayes is an introduction to Bayesian statistics using computational meth
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A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.
Adversarial Video Generation This project implements a generative adversarial network to predict future frames of video, as detailed in "Deep Multi-Sc
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Uses Open AI Gym environment to create autonomous cryptocurrency bot to trade cryptocurrencies.
Crypto_Bot Uses Open AI Gym environment to create autonomous cryptocurrency bot to trade cryptocurrencies. Steps to get started using the bot: Sign up
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An implementation of the Contrast Predictive Coding (CPC) method to train audio features in an unsupervised fashion.
CPC_audio This code implements the Contrast Predictive Coding algorithm on audio data, as described in the paper Unsupervised Pretraining Transfers we
283 Dec 30, 2022