SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
- unsupervised-learning
- image-classification
- self-supervised-learning
- clustering
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SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
Official PyTorch implementation of VisionHOPE: Visual Backbones as Self-Modifying Learning Systems.
Xtreme1 is an all-in-one data labeling and annotation platform for multimodal data training and supports 3D LiDAR point cloud, image, and LLM.
The world's simplest facial recognition api for .NET on Windows, MacOS and Linux
Build, train, optimize, and run computer vision models locally, from raw images to live inference. Open source, optimized for Intel® XPU (CUDA also supported).
A collection of computer vision pre-trained models.
The most accurate natural language detection library for Go, suitable for short text and mixed-language text
Bumble's Private Detector - a pretrained model for detecting lewd images
PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
A simple, flexible, and extensible template for PyTorch. It's beautiful.
JevStyle: local decision models for AI agents. Classify, route and score with a probability per option. systemone-compatible local server, MCP tools, Claude Code guard. Open weights, Apache-2.0.
Examples of Tensorflow Lite on Android
A curated dataset of malware and benign Windows executable samples for malware researchers