Wild-Time
by huaxiuyao
Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
AI summary
Distribution shift benchmark
A benchmark of in-the-wild distribution shifts over time for evaluating machine learning models
- stars
- 64
- forks
- 8
- watching
- 2
Similar projects
Found by comparing what the projects do, not just their names.
Benchmark
Provides a benchmarking framework for evaluating the quality of text-to-video generation models
Change Detection Review
A comprehensive review of change detection methods using artificial intelligence and various machine learning frameworks.
Chinese understanding benchmark
Measures the understanding of massive multitask Chinese datasets using large language models
Change Detection Toolbox
A toolbox implementing deep learning-based change detection for hyperspectral images using spectral, spatial, and temporal transformations.
hszhao/semseg1.3K
Semantic Segmentation Library
A PyTorch implementation of semantic segmentation models with support for multiprocessing training and various backbones.
hfawaz/dl-4-tsc1.6K
Time series classifier frameworks
This project provides a framework for evaluating and comparing different deep learning architectures for time series classification tasks.
Time-series analysis library
A Python module for statistical learning with an emphasis on time-dependent modeling, providing tools for machine learning, point-process modeling, and optimization.
rjt1990/pyflux2.1K
Time series library
A comprehensive time series modeling library with various statistical models and inference methods.
Class balance fixer
This is an implementation of a meta-learning algorithm to address class imbalance issues in deep learning models with noisy labels.
Domain adaptation
Improves federated learning performance by incorporating domain knowledge and regularization to adapt models across diverse domains
Temporal graph trainer
A framework for training temporal graphs on large datasets
Forecasting library
A framework to perform time series forecasting using machine learning models on large datasets.
Benchmarking
Comparative benchmarks of various machine learning algorithms
Benchmark
An image-context reasoning benchmark designed to challenge large vision-language models and help improve their accuracy
Time-series model tester
An experimental framework for developing and testing deep learning models on time-series prediction tasks
