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BEST SCORE ON KAGGLE SO FAR. Mean Square Error after repeated tuning 0.00032. Used stacked GRU + LSTM layers with optimized architecture, learning rate and batch size for best model performance. The graphs are self explanatory once you click and go inside !!!

Data and Code for "Scene-LSTM: A model for human trajectory prediction" (ISVC 2019)

LSTM, RNN and GRU implementations using Pytorch

RNN(Reservoir, Stacked LSTM, etc.) Library

Implementing , learning and re implementing "End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF" in keras

Neural network for classifying electromyographic signals into distinct gestures. Additionally, a comparison of CNN vs LSTM implementations.

多种端到端验证码识别的方案，python + tensorflow + CNN / LSTM (CTC)

AI/ML Trading Bot for MetaTrader 5 - XAUUSD Gold Trading. Merged & optimized codebase from 25+ top repos including DRL (PPO/Dreamer), LSTM, Transformers, Ensemble ML, and production-ready trading engine.

1. First we fetch data of stocks in realtime from nse India website, perform basis data visualizations using python to analyze the stock. 2. Then we use machine learning LSTM technique to predict the future stock price and at last create an interactive web-app using Streamlit in python.

CNN+LSTM+Attention predict stock