seq2seq-attention
Time series analyzer
An implementation of an attention mechanism using TensorFlow 2 to analyze time series data.
Attention mechanism for time series using tensorflow 2
7 stars
0 watching
2 forks
Language: Python
last commit: over 4 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
| An attention-based sequence-to-sequence learning framework | 389 |
| A project demonstrating the use of a Sequence-to-Sequence Recurrent Neural Network (RNN) for time series forecasting in Python using TensorFlow. | 1,082 |
| A library for detecting anomalies and calculating correlations in time series data. | 1,193 |
| A software framework for integrating zingeR with ZINB-WaVE weights for RNA-seq data analysis | 23 |
| An R-based web application for scRNA-seq analysis that provides a user-friendly interface for data preprocessing, visualization, and annotation. | 23 |
| Provides tools and frameworks for training sequence-to-sequence models using PyTorch | 523 |
| A tool for analyzing single-cell ATAC-seq data using neural networks to extract latent features. | 100 |
| A statistical framework for analyzing single-cell ATAC-seq data to reconstruct cis-regulatory elements' activities | 9 |
| Provides a set of statistical functions in Swift for calculations such as mean, median, standard deviation, and more. | 703 |
| A Python library to facilitate analysis of data from high-throughput sequencing experiments. | 95 |
| Anomaly detection tool for multiple time series data with interactive visualization and labeling capabilities | 324 |
| A TensorFlow model for recognizing text in images using visual attention and a sequence-to-sequence architecture. | 1,079 |
| An open-source Python pipeline for processing single-cell RNA sequencing data to recover T cell receptor sequences. | 26 |
| A machine learning tool for time series data analysis and modeling | 573 |
| A TensorFlow implementation of a neural caption generator using attention mechanisms. | 506 |