Stars
Pythonic and parallelizable I/O for N-dimensional imaging data with OME metadata
⚡ TabPFN: Foundation Model for Tabular Data ⚡
Introduction to Machine Learning Systems
This repo contains the official TensorFlow implementation of Differentiable Histogram Loss Functions for Intensity-based Image-to-Image Translation
Repository for codes in the paper "System-and Sample-agnostic Isotropic 3D Microscopy by Weakly Physics-informed, Domain-shift-resistant Axial Deblurring"
High-level API for attractive and descriptive image visualization in Python
[ACM MM 2024] Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model
computer vision models for single-cell phenotyping
spaCR Spatial phenotype analysis of CRISPR–Cas9 screens (spaCR)
[NeurIPS 2024] MeshXL: Neural Coordinate Field for Generative 3D Foundation Models, a 3D fundamental model for mesh generation
FFCV: Fast Forward Computer Vision (and other ML workloads!)
Janus-Series: Unified Multimodal Understanding and Generation Models
Codebase for training the SubCell models
Code for NeurIPS 2024 paper - The GAN is dead; long live the GAN! A Modern Baseline GAN - by Huang et al.
Repository of scripts to facilitate participation in CellMap's segmentation challenge. This includes downloading data, simple setups for training 2D and 3D models, workflows for prediction and post…
Grokking the Coding Interview: Patterns for Coding Questions Alternative
Morphological features from images and masks made easy.
Python package for Model Metric Uncertainty estimation
Software for 3-dimensional grading of osteochondral samples.
repo for ISBI 2024 "LightMyCells" challenge
First place algorithm in ISBI 2024 Light My Cell competition, label-free cell painting
Transform 3D cell surfaces into different representations including topographic maps, 3D spheres, and 2D images for doing optimized quantification, data analysis and machine learning.
Reliable estimation of membrane curvature for cryo-electron tomography
Find profile pairs and compute retrieval metrics between them.