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Python Jupyter notebooks for BioImageAnalysis, GPU-accelerated image processing, bio-image data science and more
Benchmarking Large Language Models for Bio-Image Analysis Code Generation
[T-PAMI-2024] Transformer-Based Visual Segmentation: A Survey
Segment Anything Model (SAM) native Qt UI
A library for efficient similarity search and clustering of dense vectors.
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
[CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥
Hypothesis is a powerful, flexible, and easy to use library for property-based testing.
Chronos: Pretrained Models for Probabilistic Time Series Forecasting
Rethinking Interactive Image Segmentation with Low Latency, High Quality, and Diverse Prompts (CVPR 2024)
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
[AAAI 2024 Oral] AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models
Official implementation of "Segment Any Anomaly without Training via Hybrid Prompt Regularization (SAA+)".
Segment Anything in High Quality [NeurIPS 2023]
Opensource IDE For Exploring and Testing Api's (lightweight alternative to postman/insomnia)
Track emissions from Compute and recommend ways to reduce their impact on the environment.
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
✨✨Latest Advances on Multimodal Large Language Models
DoubleML - Double Machine Learning in Python
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
Uplift modeling and causal inference with machine learning algorithms
A deep-learning library for denoising images using Noise2Void and friends (CARE, PN2V, HDN etc.), with a focus on user-experience and documentation.)
streamline the fine-tuning process for multimodal models: PaliGemma, Florence-2, and Qwen2-VL
a state-of-the-art-level open visual language model | 多模态预训练模型
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
Long Range Arena for Benchmarking Efficient Transformers