Stars
A foundation model for knowledge graph reasoning
Toward High-Accuracy Open-Source Biomolecular Structure Prediction.
Making Protein folding accessible to all!
Geometric Latent Diffusion Models for 3D Molecule Generation
AlphaFold 3 inference pipeline.
Masked Siamese Networks for Label-Efficient Learning (https://arxiv.org/abs/2204.07141)
Image Processing Package for the Paper "Self-organization and symmetry breaking in intestinal organoid development"
Workflows and interfaces for neuroimaging packages
Python sample codes and textbook for robotics algorithms.
R Package for Aligned Rank Transform for Nonparametric Factorial ANOVAs
Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans
Image Reading, Metadata Conversion, and Image Writing for Microscopy Images in Python
📈 Performance analysis for Python snippets
Message Passing Neural Networks for Molecule Property Prediction
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent
A python library for generating annotations in the PASCAL VOC format.
Source code submission relating to Chemical Genetic Matrix in Scientific Data
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Files for a tutorial to train SegNet for road scenes using the CamVid dataset
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source …
This repository contains the code, and access to the pretrained models and datasets for the paper: "Automated analysis of high-content microscopy data with deep learning"
Classifying White Blood Cells with CNNs
QuPath - Open-source bioimage analysis for research