SSealbook
Sealbook / Open source / Machine learning y ciencia de datos

guillaume-chevalier/LSTM-Human-Activity-Recognition

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

activity-recognitiondeep-learninghuman-activity-recognitionlstmmachine-learningneural-networkrecurrent-neural-networksrnntensorflow
GitHub ↗

Licencia y mantenimiento

MIT es una licencia permisiva: uso comercial libre con atribución.

Último cambio de código hace 3 años.

Proyectos similares

RepositorioEstrellasLenguajeLicenciaActividad
1tensorflow/tensorflowAn Open Source Machine Learning Framework for Everyone★ 201.1kC++Apache-2.0Activo
2ageron/handson-ml⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.★ 25.6kJupyter NotebookApache-2.0Menos activo
3pytorch/pytorchTensors and Dynamic neural networks in Python with strong GPU acceleration★ 104.8kPythonOtherActivo
4microsoft/AI-For-Beginners12 Weeks, 24 Lessons, AI for All!★ 69.9kJupyter NotebookMITActivo
5keras-team/kerasDeep Learning for humans★ 64.4kPythonApache-2.0Activo
6explosion/spaCy💫 Industrial-strength Natural Language Processing (NLP) in Python★ 34kPythonMITActivo
7lutzroeder/netronVisualizer for neural network, deep learning and machine learning models★ 33.6kJavaScriptMITActivo
8JaidedAI/EasyOCRReady-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc★ 30.1kPythonApache-2.0Menos activo