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An open source implementation of CLIP.
antimatter15 / alpaca.cpp
Forked from ggerganov/llama.cppLocally run an Instruction-Tuned Chat-Style LLM
Code for the paper : Do we really need dice? The hidden region-size biases of segmentation losses. MeDIA 2023. https://www.sciencedirect.com/science/article/abs/pii/S136184152300275X
Evaluate custom and HuggingFace text-to-image/zero-shot-image-classification models like CLIP, SigLIP, DFN5B, and EVA-CLIP. Metrics include Zero-shot accuracy, Linear Probe, Image retrieval, and KN…
Fast and memory-efficient exact attention
Self-Supervised Vision Transformers for multiplexed imaging datasets
Vision Transformer for 3D medical image registration (Pytorch).
A curated list of foundation models for vision and language tasks
Central repository for applications and operators for Holoscan
Curated list of awesome open source healthcare software, libraries, tools and resources.
The AI sensor processing SDK for low latency streaming workflows
Kaapana (from the hawaiian word kaʻāpana, meaning “distributor” or “part”) is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applicatio…
Interactive scalable auditing of model biases and vulnerabilities with interpretable mitigation
In the last few years, I have developed a lot of Jupyter notebooks to draw fractals. In this repository, I will gradually share them. Creative Commons Attribution-ShareAlike 4.0 International License.
# Eigenfish Ideas by the wonderful ["Computational Discovery on Jupyter"](https://computational-discovery-on-jupyter.github.io/Computational-Discovery-on-Jupyter/index.html) by Neil J. Calkin, Euni…
Hyper-Convolution Networks for Biomedical Image Segmentation
Fast and differentiable MS-SSIM and SSIM for pytorch.
Image clustering using the similarity algorithms: SIFT, SSIM, CW-SSIM, MSE
Generative Models by Stability AI
Source code for Spine segmentation and analysis project
This repo contains the code for our paper "A novel focal Tversky loss function and improved Attention U-Net for lesion segmentation" accepted at IEEE ISBI 2019.
High-level batteries-included neural network training library for Pytorch
Decode satellite signals on Raspberry PI or any other 64-bit CPU.