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3d_convolution_neural_net_mnet

Keras Implementation of 3d Convolutional Neural Network

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

covid19_us_databricks

A Study on Correlation of Conty-Wide US Demographics and Economy on COVID-19 Pandemic. The COVID-19 data is from JHU CSSE, and US demographics data is from US Census Bureau.

cs224w-colab

Solutions for CS224W Winter 2021 Colab

csci5751

Local dynamoDB

csci5751_project2_dymz

data-structure-and-performance

dvc

🦉Data Version Control | Git for Data & Models

ecommerce_prod_rev_nlp

In this project, using the dataset from Amazon Customer Review (https://registry.opendata.aws/amazon-reviews/), unsupervised learning models are applied to automatically analyze the underlying structures of user reviews on grocery products, and to visualize the results by multiple natural language processing (NLP) models/tools.

ftcnn

CNN for structure classification through Fourier Transform of voxelized point clouds

image_classification_resnet

kaggle_bank_customer_churn

In this project, using the dataset from Kaggle (https://www.kaggle.com/adammaus/predicting-churn-for-bank-customers), different supervised learning models are used to predict customers that are likely to churn in the future. Top factors that influence user retention are analyzed.

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

multi-variate-models-on-london-bikesharing-data

neural_question_generation

Implementation of <Learning to Ask: Neural Question Generation for Reading Comprehension> by Xinya Du et al.

nlp_course_material

Notes and codes from the NLP-related contents for the course: https://courses.d2l.ai/zh-v2/ by Mu Li

packmol

Packmol

parlai

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

pointnet.phasedetection

This repo uses PointNet [1](https://arxiv.org/abs/1612.00593), a neural network designed for computer vision applications using point clouds. In this study, a properly-trained PointNet was demonstrated to be highly generalizable on morphology detection in molecular simulations, and can be potentially extended to discovery of emerging ordered patterns from non-equilibrium systems.

python

:snake: Python Programs

pytorch-pretrained-bert

📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.

qgforqa

question_generation

Neural question generation using transformers

sf_crime_analysis

In this Databricks notebook, Spark SQL and dataframe was used for big data analysis and OLAP on SF crime data. (https://data.sfgov.org/Public-Safety/Police-Department-Incident-Reports-Historical-2003/tmnf-yvry).

structure_factor

Calculate average structure factor from pdb files. Implemented CPU-based parallelization using numba and cuda-acceleration by Taichi. Codes belongs to Siepmann Group, University of Minnesota. Author of original code: Paul Qile Chen. Contributors: Don Zhengyuan Shen; Andrew Yangzesheng Sun

tapas

End-to-end neural table-text understanding models.

time-series-analysis-in-r

Problems worked out from the book Time Series Analysis and Its Applications: With R Examples by Shumway and Stoffer. Includes brief time series overview, time series regression, and ARIMA modeling.

topic_segmenter

Tool for segmenting group chat conversations using NLP and Neural Networks