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AudioLDM: Generate speech, sound effects, music and beyond, with text.
A standardized Python API with necessary preprocessing, machine learning and explainability tools to facilitate graph-analytics in computational pathology.
CellViT: Vision Transformers for Precise Cell Segmentation and Classification
Histopathology Feature Extractors (2024)
A vision-language foundation model for computational pathology - Nature Medicine
Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images - CVPR 2023
Towards a general-purpose foundation model for computational pathology - Nature Medicine
PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057
[ICLR 2023] Selective Frequency Network for Image Restoration
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to ex…
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
A library that integrates different MIL methods into a unified framework
[CVPR 2024] Dynamic Graph Representation with Knowledge-aware Attention for Histopathology Whole Slide Image Analysis
[ICCV 2023 Oral] Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification
VMamba: Visual State Space Models,code is based on mamba
U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation
[ICCV 2023] Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation
Implementation of Attention-based Deep Multiple Instance Learning in PyTorch
[CVPR'2024 Highlight] Official PyTorch implementation of the paper "VTimeLLM: Empower LLM to Grasp Video Moments".
PyTorch implementation of RCG https://arxiv.org/abs/2312.03701
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
High-Resolution Image Synthesis with Latent Diffusion Models
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
SimMatch: Semi-supervised Learning with Similarity Matching
Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners