Columbus

Zheda (Marco) Mai

Expert
@RaptorMai

Ph.D. student at OSU Machine Learning Computer Vision

zheda-mai.github.io/

online-continual-learning. A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), SCR(CVPR21-W) and survey (Neurocomputing).

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Deep-AutoEncoder-Recommendation. Keras implementation of AutoRec and DeepRecommender from Nvidia.

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CVPR20_CLVision_challenge. 1'st Place approach for CVPR 2020 Continual Learning Challenge

46

MLLM-CompBench. [NeurIPS'25] MLLM-CompBench evaluates the comparative reasoning of MLLMs with 40K image pairs and questions across 8 dimensions of relative comparison: visual attribute, existence, state, emotion, temporality, spatiality, quantity, and quality. CompBench covers diverse visual domains, including animals, fashion, sports, and scenes

46

Step-by-step-tutorial-of-building-a-small-blockchain-in-Python. Step by step tutorial of building a small blockchain in Python

5

bayesian-network-variable-elimination-gibbs-sampling. Binary discrete variables bayesian network with variable elimination. It has the same interface as pgmpy

5

pgmpy-tutorial. A pgmpy tutorial focus on Bayesian Model

5

PETL_Vision.

2

flow. Computational framework for reinforcement learning in traffic control

2

wine-reviews-pyspark. Sentiment Analysis using PySpark on the Wine Reviews dataset from Kaggle

2

DeepLearning-500-questions. 深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

2

data-science-interview-questions-and-answers. Data science interview questions with answers. Not ideally (yet)

1

Build-the-barebones-of-an-online-marketplace. A Django REST API of the barebones of a an online marketplace for Shopify 2019 summer intern challenge.

1

continual_learning_papers. Relevant papers in Continual Learning

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swagger-docs-shopify-intern-2019. API document for Shopify 2019 backend intern

1

MLDS-Learning. Jupyter Notebook

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applied-ml. 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

1

Daisy-Intelligence-hackathon-2019. Daisy Intelligence hackathon 2019

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Algorithm_Interview_Notes-Chinese. 2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

1

Cifar10-CNN-Keras. Demonstrated some basic CNN models using CIFAR 10

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