YinuoWen

YinuoWen's Stars

• zhao62/Deep-Residual-Shrinkage-Networks

  The deep residual shrinkage network is a variant of deep residual networks.

  Language:Python467109

• binyisu/PVEL-AD

  Photovoltaic cell defect detection

  Language:Python818

• Charmve/Surface-Defect-Detection

  📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.

  Language:Python3.2k530

• facebookresearch/deit

  Official DeiT repository

  Language:Python4.1k559

• bayesian-optimization/BayesianOptimization

  A Python implementation of global optimization with gaussian processes.

  Language:Python8k1.5k

• callumrollo/cmcrameri

  Making Fabio Crameri's perceptually uniform colourmaps for geosciences available on PyPI and conda-forge

  Language:Python1339

• google-research/vision_transformer

  Language:Jupyter Notebook10.6k1.3k

• taki0112/vit-tensorflow

  Vision Transformer Cookbook with Tensorflow

  Language:Python31248

• binary-husky/gpt_academic

  为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

  Language:Python66k8.1k

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python21.5k3.7k

• nebuly-ai/optimate

  A collection of libraries to optimise AI model performances

  Language:Python8.4k639

• xinychen/latex-cookbook

  LaTeX论文写作教程 (清华大学出版社)

  Language:Jupyter Notebook1.4k150

• PaddlePaddle/PaddleTS

  Awesome Easy-to-Use Deep Time Series Modeling based on PaddlePaddle, including comprehensive functionality modules like TSDataset, Analysis, Transform, Models, AutoTS, and Ensemble, etc., supporting versatile tasks like time series forecasting, representation learning, and anomaly detection, etc., featured with quick tracking of SOTA deep models.

  Language:Python491119

• AaronCosmos/wdcnn_bearning_fault_diagnosis

  wdcnn轴承故障模型

  Language:Python34396

• yangwohenmai/LSTM

  基于LSTM的时间序列预测研究

  Language:Python2.8k704

• LeeDoYup/AnoGAN-tf

  Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

  Language:Python27390

• Michedev/VAE_anomaly_detection

  Language:Python19739

• Ali-Alhamaly/Turbofan_usefull_life_prediction

  given run to failure measurements of various sensors on a sample of similar jet engines, estimate the remaining useful life (RUL) of a new jet engine that has measurements of the same sensor for a period of time equal to its current operational time.

  Language:Jupyter Notebook6032

• hustcxl/Rotating-machine-fault-data-set

  Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)

  930283

• James-Yu/LaTeX-Workshop

  Boost LaTeX typesetting efficiency with preview, compile, autocomplete, colorize, and more.

  Language:TypeScript10.8k535

• jackfrued/Python-100-Days

  Python - 100天从新手到大师

  Language:Python158k52.5k

• tensorflow/compression

  Data compression in TensorFlow

  Language:Python864252

• deeptime-ml/deeptime

  Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation

  Language:Python76884

• fpetitjean/DBA

  DBA: Averaging for Dynamic Time Warping

  Language:Python18346

• tejaslodaya/timeseries-clustering-vae

  Variational Recurrent Autoencoder for timeseries clustering in pytorch

  Language:Python46584

• manitadayon/MTSCNeuralForecast

  Language:Jupyter Notebook71

• zhoushengisnoob/DeepClustering

  Methods and Implements of Deep Clustering

  2.9k415

• adam-mehdi/EntityEmbeddingsTutorial

  A walkthrough for representing categorical variables continuously using entity embeddings

  Language:Jupyter Notebook71

• zetane/viewer

  ML models and internal tensors 3D visualizer

  Language:Python1.2k128

• WenjieDu/PyPOTS

  A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/classification/clustering/forecasting/anomaly detection/cleaning on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values

  Language:Python1.1k110