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总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力
The official code of EMNLP 2023 paper HierarchicalContrast: A Coarse-to-Fine Contrastive Learning Framework for Cross-Domain Zero-Shot Slot Filling
✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
This repo hosts the code and models of "Masked Autoencoders that Listen".
A superpixel-based relational auto-encoder for feature extraction of hyperspectral images
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.
A curated (most recent) list of resources for Learning with Noisy Labels
MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019.
A curated list of resources for Learning with Noisy Labels
junxia97 / SimGRACE
Forked from mpanpan/SimGRACE[WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"
Rethinking Perturbations in Encoder-Decoders for Fast Training
Software for reproducing the results of the paper: "Revisiting Deep Generalized Canonical Correlation Analysis"
Official implementation of our research paper. DOI: 10.1007/s10489-024-05856-6
Code for NeurIPS 2022 paper "SoftKernel: Unsupervised Anomaly Detection with Noisy Data"
Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。
《MATHEMATICS FOR MACHINE LEARNING》 一书的部分翻译。
mml-book-chinese《Mathematics For Machine Learning》机器学习中的数学 中文版
Anomaly detection related books, papers, videos, and toolboxes
A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型
Data manipulation and transformation for audio signal processing, powered by PyTorch
💬 SpeechPy - A Library for Speech Processing and Recognition: http://speechpy.readthedocs.io/en/latest/