Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Training_extensions | 1,119 | 1 | a month ago | 55 | October 31, 2023 | 54 | apache-2.0 | Python | ||
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™ | ||||||||||
Getting Things Done With Pytorch | 873 | 3 years ago | 13 | apache-2.0 | Jupyter Notebook | |||||
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT. | ||||||||||
Awesome Industrial Anomaly Detection | 670 | 3 months ago | ||||||||
Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。 | ||||||||||
Novelty Detection | 183 | a year ago | 9 | mit | Python | |||||
Latent space autoregression for novelty detection. | ||||||||||
Pyanomaly | 92 | 3 years ago | 1 | apache-2.0 | Python | |||||
Useful Toolbox for Anomaly Detection | ||||||||||
Student Teacher Anomaly Detection | 83 | 3 years ago | 7 | Python | ||||||
Student–Teacher Anomaly Detection with Discriminative Latent Embeddings | ||||||||||
Video Anomaly Detection | 67 | 3 years ago | 5 | mit | Jupyter Notebook | |||||
Anomaly detection in videos using deep learning. | ||||||||||
Revisiting Reverse Distillation | 66 | 4 months ago | 3 | mit | Python | |||||
(CVPR 2023) Revisiting Reverse Distillation for Anomaly Detection | ||||||||||
Pad | 61 | 4 months ago | 2 | mit | Python | |||||
[NeurlPS 2023] A Dataset and Benchmark for Pose-agnostic Anomaly Detection. Feel free to explore the brand new anomaly detection setting using our dataset🪀! | ||||||||||
Xray | 53 | 4 months ago | mit | |||||||
List of datasets and papers in X-ray security images (Computer vision/Machine Learning) |