WANLU GU's Projects
Python 3 Spelling Corrector
Notebooks about Bayesian methods for machine learning
TensorFlow code and pre-trained models for BERT
Big data, noSQL, machine learning
Evaluating model decay as the underlying concepts for classification evolve
The homework of coursera Convolutional Neural Networks
This repository is a case study, analysis and visualization of COVID-19 Pandemic spread along with prediction models.
This project covers an end-to-end machine learning cycle. You can examine the model development, interface, api and docker stages of the project.
Demo of using the Nutter for testing of Databricks notebooks in the CI/CD pipeline
Deep Learning Specialization by Andrew Ng on Coursera.
Tutorials and training material for the H2O Machine Learning Platform
Build docker container using Github action
Deep Learning: Image classification, feature visualization and transfer learning with Keras
The assignment of course Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization on coursera.
A Python implementation of LightFM, a hybrid recommendation algorithm.
Coursera's Machine/Deep Learning assignments
Comparisons among multiple algorithms, and introduction to calibration
Model interpretation is an important part especially during business communication. There exist various model interpretation strategies and we can explore.
Resources for "Natural Language Processing" Coursera course.
A CodeBuild job of the official nginx Docker image
Benchmarks for Kaggle's Predict Closed Questions on Stack Overflow competition
A tutorial on the t-SNE learning algorithm
Using extractive summarization to collect most important sentences (include questions) in the paragraph and put them together
Models built with TensorFlow
š¤ Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.