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TensorFlow code and pre-trained models for BERT
本实验，是用BERT进行中文情感分类，记录了详细操作及完整程序
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
A data preprocessing package for time series data. Design for machine learning and deep learning.
proof of concept for a transformer-based time series prediction model
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
李宏毅2021/2022/2023春季机器学习课程课件及作业
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series
Temporal Pattern Attention for Multivariate Time Series Forecasting
情感极性分析repository1：基于情感词典、k-NN、Bayes、最大熵、SVM的情感极性分析。
Core Data of HowNet and OpenHowNet Python API
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Predict stock with LSTM supporting pytorch, keras and tensorflow
the extension of https://github.com/philipperemy/keras-attention-mechanism , create a new scipt to add attetion to input dimensions rather than timesteps in the origin project。
Keras Attention Layer (Luong and Bahdanau scores).
Use BPNN and LSTM to forecast stock price. 使用BP神经网络和LSTM预测股票价格，注释拉满。
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data