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A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
LaTeX to image converter with web UI using Node.js / Docker
Official repository for ICCV 2023: Get the Best of Both Worlds: Improving Accuracy and Transferability by Grassmann Class
Refine high-quality datasets and visual AI models
This program implements the P^2 algorithm as documented in "The P-Square Algorithm for Dynamic Calculation of Percentiles and Histograms without Storing Observations," Communications of the ACM, Oc…
Use D3 to visualize simple git branching operations.
A playbook for systematically maximizing the performance of deep learning models.
The repository of paper "Deep Feature Selection for Anomaly Detection Based on Pretrained Network and Gaussian Discriminative Analysis"
Jupyter extensions that help you write code faster: Context aware AI Chat, Autocomplete, and Spreadsheet
🐍 Geometric Computer Vision Library for Spatial AI
Anomaly Detection method, based on the Number of False Alarms (NFA)
Machine learning metrics for distributed, scalable PyTorch applications.
Repository for the Medical Out-of-Distribution Analysis Challenge.
Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.
Critical difference diagram with Wilcoxon-Holm post-hoc analysis.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Fake It Till You Make It: Near-Distribution Novelty Detection by Score-Based Generative Models
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
Repository for the Explainable Deep One-Class Classification paper
Computations and statistics on manifolds with geometric structures.