Tao Chen's repositories

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SSPIM

SSPIM is a pattern producer for gray and binary spatial light modulators.

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mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

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symphony

:notes: 一款用 Java 实现的现代化社区(论坛/BBS/社交网络/博客)平台。https://hacpai.com

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ee264

Course materials for EE 264

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biobeam

GPU accelerated beam propagation tools for biological light tissue simulations

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llspy-slm

SLM binary mask generator for Lattice Light Sheet microscopy

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SuperSegger

A completely automated MATLAB-based trainable image cell segmentation, fluorescence quantification and analysis suite, particularly well suited for high-throughput time lapse fluorescence microscopy of in vivo bacterial cells.

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generative_inpainting

Generative Image Inpainting with Contextual Attention https://arxiv.org/abs/1801.07892, demo http://jiahuiyu.com/deepfill

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Spring_2017_ImageProcessing

[Spring, 2017] CNU Image Processing Class

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reproducible-image-denoising-state-of-the-art

Collection of popular and reproducible image denoising works.

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deep-image-prior

Image restoration with neural networks but without learning.

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segmentation

Code for my master's thesis. Instance segmentation of fluorescence microscopy images with deep learning.

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signals-and-systems-lecture

Lecture notes and computational examples for the bachelors course Signals and Systems

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cs131_notes

Class notes for CS 131.

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MegapixelAO

This is the open source repository for our SIGGRAPH 2018 paper "Megapixel Adaptive Optics: Towards Correcting Large-scale Distortions in Computational Cameras".

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models

Models and examples built with TensorFlow

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MLND

Udacity Machine Learning Nano Degree Courses

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Science.md

An easy framework for drafting scientific documents: Write (Markdown), Compile (PDF, Word, HTML), Share.

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DataScienceCoursera

Coursera DataScience

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neural-style

Torch implementation of neural style algorithm

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datasharing

The Leek group guide to data sharing

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Mask_RCNN

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

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CS231n-1

homework for CS231n 2017

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deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

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Digital-Image-Processing

Homework assignments in ECE447 Digital Image Processing Fall 2015

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digital-signal-processing

Convolution, DTFT, FIR, Sampling, Z-transform, DTMF decoder, ect

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