sgtg-gd

sgtg-gd's Stars

• bubbliiiing/classification-keras

  这是各个主干网络分类模型的源码，可以用于训练自己的分类模型。

  Language:Python6817

• liucongg/NLPDataSet

  记录本人整理的一些数据集

  1k132

• zlsdu/Word-Embedding

  Word2vec, Fasttext, Glove, Elmo, Bert, Flair pre-train Word Embedding

  Language:Python649185

• SophonPlus/ChineseNlpCorpus

  搜集、整理、发布 中文 自然语言处理 语料/数据集，与 有志之士 共同 促进 中文 自然语言处理 的 发展。

  Language:Jupyter Notebook6k1.4k

• TWK2022/TimeSeriesForecasting

  基于pytorch实现的时间序列预测训练框架，各个部分模块化，方便修改模型。包含时间序列预测模型、训练、验证、测试、wandb可视化、onnx导出、onnx推理、tensorrt导出、tensorrt推理。

  Language:Python446

• Doheon/TimeSeriesForecast-Informer

  Language:Jupyter Notebook306

• BTDLOZC-SJTU/TimeSeriesResearch

  这个开源项目主要是对经典的时间序列预测算法论文进行复现，模型主要参考自GluonTS，框架主要参考自Informer

  Language:Python1257

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python57.6k5.9k

• cingtiye/Basic-time-domain-and-frequency-domain-features-of-signals

  Language:Python335

• asavinov/intelligent-trading-bot

  Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering

  Language:Python1.1k246

• musikalkemist/AudioSignalProcessingForML

  Code and slides of my YouTube series called "Audio Signal Proessing for Machine Learning"

  Language:Jupyter Notebook1.1k395

• hello-sea/DeepLearning_Wavelet-LSTM

  LSTM + Wavelet（长短期记忆神经网络+小波分析）：深度学习与数字信号处理的结合

  Language:Python16553

• Hunter-P/Pattern-Recognition-of-Acoustic-Emission-Signal

  声发射信号处理与识别

  Language:Python6719

• QnHyn/flask_JCStudy

  2019年千峰教育flask基础与实战

  Language:Python11

• aryan-jadon/Regression-Loss-Functions-in-Time-Series-Forecasting-Tensorflow

  This repository contains the implementation of paper Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting with different loss functions in Tensorflow. We have compared 14 regression loss functions performance on 4 different datasets.

  Language:Python7518

• GenjiYin/Transformer-time-series

  Transformer在时序方面的应用

  Language:Jupyter Notebook181

• DB1929/Autoformer

  Language:Python1

• Gao-JF/RODDPSO-K-Means

  复现论文算法RODDPSO+K-Means，用优化的粒子群算法对K-Means算法求初始的簇心，以达到优化聚类算法的目的

  Language:Python142

• datamonday/ML-Algorithm-Source-Code

  机器学习算法源码实现

  Language:Jupyter Notebook248

• datamonday/Time-Series-Analysis-Tutorial

  时间序列分析教程

  Language:Jupyter Notebook870209

• ymzx/pso-svm

  粒子群算法优化支持向量机

  Language:Python13233

• sp3Shree/Shap_XGBoost

  Feature importance using XGBoost

  Language:Jupyter Notebook33

• ShawnyXiao/TextClassification-Keras

  Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN, TextBiRNN, TextAttBiRNN, HAN, RCNN, RCNNVariant, etc.

  Language:Python816187