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Bi-LSTM+CRF sequence labeling model implemented in PyTorch

RNN(LSTM, GRU) in Theano with mini-batch training; character-level language models in Theano

Tensorflow Implementation of GAN modeling for sequential data

DCNet — Denoising (DNA) Sequence With a LSTM-RNN and PyTorch & Neural DBG

Multimodal speech recognition using lipreading (with CNNs) and audio (using LSTMs). Sensor fusion is done with an attention network.

（陆续更新）重新整理过的基于机器学习的股票价格预测算法，里面包含了基本的回测系统以及各种不同的机器学习算法的股票价格预测，包含：LSTM算法、Prophet算法、AutoARIMA、朴素贝叶斯、SVM等

Sentiment Analysis by Machine Learning, LSTM and BERT

基于LSTM的股票价格预测

A Hybrid AI Model Integrating LSTM, XGBoost, and K-Means for Interpretable Prediction and Clustering of Water Quality in Data-Scarce Regions

基于VMD-Attention-LSTM的时间序列预测模型（代码仅使用了一个较小数据集的训练及预测，内含使用使用逻辑，适合初学者观看，模型结构是可行的，有能力的请尝试使用更大的数据集训练）