Stars
A toolkit for machine learning from time series
Multi channel deep convolutional neural network for time series classification
A PyTorch implementation of learning shapelets from the paper Grabocka et al., „Learning Time-Series Shapelets“.
Multi-scale Attention Convolutional Neural Network for Time Series Classification
Deep Learning for Time Series Classification
The collection of related papers and resources for the paper Time Series Analysis for Education: Methods, Applications, and Future Directions.
TinyTNAS is a hardware-aware, multi-objective, time-bound Neural Architecture Search (NAS) tool designed for TinyML time series classification. Unlike GPU-based NAS methods, it runs efficiently on …
¬¬Leveraging RNNs and LSTMs for Synchronization Analysis in the Indian Stock Market: A Threshold-Based Classification Approach
用一维卷积处理序列问题，提出优化方法：结合CNN和RNN来处理长序列
[CVPR2023] NeRF-RPN: A general framework for object detection in NeRFs
List of awesome infrared small targets detection methods!
Repository for "Mapping Degeneration Meets Label Evolution: Learning Infrared Small Target Detection with Single Point Supervision", CVPR, 2023
Label Assignment Matters: A Gaussian Assignment Strategy for Tiny Object Detection
[WACV2024] Official implementation of paper "RPCANet: Deep Unfolding RPCA Based Infrared Small Target Detection".
SMPISD-MTPNet: Scene Semantic Prior-Assisted Infrared Ship Detection Using Multi-Task Perception Networks
A curated list of awesome neural radiance fields papers
NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning
[ECCV 2024] "BeNeRF: Neural Radiance Fields from a Single Blurry Image and Event Stream"
A General NeRF Acceleration Toolbox in PyTorch.
Source code for "Plug-and-Play Acceleration of Occupancy Grid-based NeRF Rendering using VDB Grid and Hierarchical Ray Traversal", CVPR NRI Workshop 2024