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Yong Xie's Projects

18s191 icon 18s191

Course 18.S191 at MIT, Spring 2021 - Introduction to computational thinking with Julia:

ac-microcourses icon ac-microcourses

Microcourses hosted by the Acceleration Consortium for self-driving lab topics.

atomai icon atomai

Deep and Machine Learning for Microscopy

awesome-self-driving-labs icon awesome-self-driving-labs

A curated list of self-driving laboratories that combine hardware automation and artificial intelligence to accelerate scientific discovery.

books icon books

This repository is a collection of famous books that a person who has keen to learn programming, should go through in his career.

caffe icon caffe

Caffe: a fast open framework for deep learning.

callinggpt icon callinggpt

Build your own ChatGPT plugin platform with GPT's function calling ability | func call by GPT

cdr-sr icon cdr-sr

Coupled Deep Autoencoder for Single Image Super-Resolution

cgcnn icon cgcnn

Crystal graph convolutional neural networks for predicting material properties.

deeplob-deep-convolutional-neural-networks-for-limit-order-books icon deeplob-deep-convolutional-neural-networks-for-limit-order-books

This jupyter notebook is used to demonstrate our recent work, "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books", published in IEEE Transactions on Singal Processing. We use FI-2010 dataset and present how model architecture is constructed here. The FI-2010 is publicly avilable and interested readers can check out their paper.

depth-anything icon depth-anything

Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

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