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DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning. DirectML provides GPU acceleration for common machine learning tasks across a broad range of supported …
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image genera…
Open source platform for the machine learning lifecycle
Streamlit — A faster way to build and share data apps.
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.
Segment Anything in Medical Images
MedLSAM: Localize and Segment Anything Model for 3D Medical Images
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
[ICCV 2023] DETRs with Collaborative Hybrid Assignments Training
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that …
Machine Learning University: Accelerated Computer Vision Class
A Slicer extension that enables user to interact with a Slicer scene using virtual reality.
Multi-platform, free open source software for visualization and image computing.
Learning image representations for anomaly detection: application to discovery of histological alterations in drug development
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
OpenMMLab course index and stuff
3D visualization of scientific data in Python
