RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)

Realtime Sign Language Detection: Deep learning model for accurate, real-time recognition of sign language gestures using Python and TensorFlow.

Seq2SeqSharp is a tensor based fast & flexible deep neural network framework written by .NET (C#). It has many highlighted features, such as automatic differentiation, different network types (Transformer, LSTM, BiLSTM and so on), multi-GPUs supported, cross-platforms (Windows, Linux, x86, x64, ARM), multimodal model for text and images and so on.

The practitioner's forecasting library

testing MLP, DQN, PPO, SAC, policy-gradient by snake

“StockPulse:- Customized Portfolio Forecasting with Small Cap Stocks: - A Comparative Study and Model building with reference to Indian Stock Market with Machine Learning and Deep Learning Models.”

The information gathered and can be used for the upcoming projects of Sentiment analysis

RNN-LSTM: From Applications to Modeling Techniques and Beyond - Systematic Review

This project develops a long short-term memory-based (LTSM-based) deep learning model to predict short-term transit passenger volume on metro routes in Medelllín, Colombia.

BitPredictor - A cutting-edge machine learning-based solution for predicting cryptocurrency prices. Harnessing the power of advanced algorithms and data analysis techniques, this system aims to provide accurate and timely forecasts for Bitcoin and other cryptocurrencies.

Creating a PyTorch LSTM to classify movies by genre and visualizing the model's reasoning process

Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massive Transpose extrapolation problem in onnx-tensorflow (onnx-tf). I don't need a Star, but give me a pull request.

Tesseract Open Source OCR Engine (main repository)

Cambridge UK temperature forecast python notebooks

This project about AI Chatbot Kampus Merdeka to help student or Indonesian people know about Kampus Merdeka program from KEMENDIKBUDRISTEK (Kementerian Pendidikan, Kebudayaan, Riset Dan Teknologi).

基于CNN-LSTM的降水反演，特征因子包括FY3D-MWHS、MWTS、FY4A cn1-14

專題分類動作的程式