tongjiyiming Goto Github PK

followers: 4.0 following: 6.0 repos: 39.0 gists: 0.0

Type: User

Bio: PhD scientist over deep learning

Liming Zhang: AI + Big Data

🔭 I’m currently Ph.D. Candidate working on Bayesian Deep Learning and AI for human behavior prediction.
🌱 I’m widely interested in bridging the gap between ML and software engineer, so it is easier to implement an AI-enabled system.
I like to read papers in: Deep Learning, Data Mining, Adversarial Network (GAN), Unsupervised Learning (VAE), Graph Deep Learning, Bayesian graphical models, NLP, Spatial-temporal series
⚡ Fun fact: I have two dogs and I really ❤️ my 🐶s

My Stack

🍇 Languages: Python, Java, C++, JavaScript
🍎 AI (expert): Pytorch, Tensorflow, and other scientific computing libraries
🍐 High Performance Computing (knowledgable): MapReduce, Spark, Hadoop
🍐 Full-stack (for side projects): Node.js, Flask, Spring, Kubernates, Jenkins, MySQL, PostgreSQL, SQLAlchemy, and others
🍑 Data Viz: D3.js, Leaflet.js

AI Papers and Codes:

Google scholar link

2020-2020, Spatially-valid deep trajectory generation: paper, repo
2019-2020, Spaital-temporal graph generation (lead): paper, repo
2019-2020, Temporal graph generation (lead): paper, repo
2019-2019, Conditional-UNet for wearable AI and multi-label image segmentation (lead): paper, repo
2017-2018, Station-to-User Transfer Learning (lead): paper, repo
2016-2017, Crowdsourcing urban change (lead): paper
2015-2015, Distributed spatial indexing for high-performace computing (assistant): paper

Demos

2018: SolarMart (entrepreneurship team), find solar benefit of your hourse with real products. Link / Youtube
2017: Coffee Gravity (solo work), an interactive data viz app. Link
2017: 1st prize in Transportation Hackathon. Youtube

tongjiyiming's Projects

algorithms-part1---assignments

My programming assignments to the course Algorithms, Part I by Kevin Wayne and Robert Sedgewick of the Princeton University.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

brackets

An open source code editor for the web, written in JavaScript, HTML and CSS.

cafemanhattan

A data visualization app of how coffee shop relate to home price change for your home at Manhatton

caochong

Set up a Hadoop and/or Spark cluster running within Docker containers on a single physical machine

case_to_infection

Back-of-the-envelope attempt to convert incidence of SARS-nCoV case reports into incidence of infections

conditional-unet

Multi-label and multi-class segmentation model with condition-aware structure, used in a Coherent Human Activity Recognition task

cs-video-courses

List of Computer Science courses with video lectures.

deploy-local-ambari

disentangled-sequential-autoencoder

Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mandt et al.).

docker-stacks

docker building files

dynamic-graph-metrics

dynamic-stochastic-block-model

MATLAB toolbox for fitting discrete-time dynamic stochastic block models

envi-met

essential-solar-energy-and-storage-software-resources

Curated links to APIs, SDKs, paltforms and tools relevant to solar energy and battery storage

gaussian-hmm-tf

[DEPRECATED] Use https://github.com/kesmarag/ml-hmm in its place

gumbel-softmax

categorical variational autoencoder using the Gumbel-Softmax estimator

handson-ml

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