Gaussian processes framework in python

Python code for "Probabilistic Machine learning" book by Kevin Murphy

《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版

Read and write TIFF files.

This repository contains implementations and illustrative code to accompany DeepMind publications

Materials for my scikit-learn tutorial

Python Data Science Handbook: full text in Jupyter Notebooks

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Sparse Optimisation Research Code

benchmarking challenge for finding neurons in imaging data

Convolutional Neural Network-Based Instance Segmentation Algorithm to Acquire Quantitative Criteria of Early Mouse Development

Software for the paper "Fast and robust active neuron segmentation in two-photon calcium imaging using spatio-temporal deep learning," Proceedings of the National Academy of Sciences (PNAS), 2019.

Training and Detecting Objects with YOLO3

Code for 'PolarMask: Single Shot Instance Segmentation with Polar Representation'

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Coupled Dictionary Learning based Multi-contrast MRI Reconstruction

HYDRA: Hybrid deep magnetic resonance fingerprinting

Light field video applications (e.g. video refocusing, focus tracking, changing aperture and view)

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

NEUBIAS Academy @Home: Interactive Bioimage Analysis with Python and Jupyter

ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing, CVPR2018 (Tensorflow Code)

Code to accompany the paper "AMP-Inspired Deep Networks for Sparse Linear Inverse Problems"

Simple A3C implementation with pytorch + multiprocessing

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学