Auto^6ML is a jittor library allowing users to achieve machine learning automation.

BIRDS plug-in on Fiji and attached jar package

Mendelian Randomization accounting for Pleiotropy and Sample Structure using genome-wide summary statistics

ClearMap 2 with WobblyStitcher, TubeMap and CellMap

An ITK Python interface to elastix, a toolbox for rigid and nonrigid registration of images

A curated list of awesome self-supervised methods

Weighted Reed Xiaoli Detector

NumPy aware dynamic Python compiler using LLVM

BCCD (Blood Cell Count and Detection) Dataset is a small-scale dataset for blood cells detection.

Open source code for AlphaFold 2.

This repository contains implementations and illustrative code to accompany DeepMind publications

Author: Wenhao Yu ([email protected]). ACM Computing Survey'22. Reading list for knowledge-enhanced text generation, with a survey.

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

Machine learning, in numpy

A Python implementation of Naive Bayes from scratch.

scikit-learn: machine learning in Python

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