Rnn

LSTM for Human Activity RecognitionJupyter Notebook

Human Activity Recognition using TensorFlow and LSTM RNNs on smartphone sensor data to classify six movement types.

Classification on raw time series in TensorFlow with a LSTM RNNJupyter Notebook

Human Activity Recognition using TensorFlow and LSTM RNNs on smartphone sensor data to classify six movement types.

Molecular design

A curated collection of research papers on molecular and material design using generative AI and deep learning techniques.

Seq2seq-ChatbotPython

A minimal 200-line implementation of a sequence-to-sequence chatbot using TensorLayer and TensorFlow.

LSTM-Crypto-Price-PredictionPython

Predicts Bitcoin price trends using an LSTM-RNN with technical indicators for automated trading via the Binance API.

Deep stacked residual bidirectional LSTMs for HARPython

A deep learning architecture using stacked residual bidirectional LSTM cells with TensorFlow for human activity recognition from sensor data.

Attentive Object TrackingPython

A TensorFlow implementation of hierarchical attentive recurrent neural networks for single object tracking in videos.

Introduction to Deep Learning Using Python (GitHub)Python

A hands-on workshop introducing deep learning concepts with practical examples using neural networks, CNNs, RNNs, and autoencoders.

Unsupervised Object CountingPython

A TensorFlow implementation of Attend, Infer, Repeat (AIR), a generative model for fast scene understanding by reconstructing objects sequentially.