Name: Fangzhou Li
Type: User
Company: University of California, Davis
Bio: Ph.D. student at UC Davis. Developing ML solutions for improving human health via foods. Proficient in deep learning, NLP, and knowledge graph construction.
Twitter: FangzhouLi3
Location: Davis
Blog: https://fangzhouli.github.io/
Fangzhou Li's Projects
A sensitivity analysis for animal-cell-based meat (ACBM) cost prediction model.
Keras implementation for Deep Embedding Clustering (DEC)
A predictor for National Collegiate Athletic Association (NCAA) basketball matches.
Course assignments for ECS272 Information Visualization at UC Davis.
Course assignments for ECS289G Deep Learning at UC Davis.
Applying an iterative neural network to BioInfer dataset for the nested relation extraction task.
An analysis of explanations for flower image classifier.
Handwritten digits recognition achieved by Multilayer Perceptron Neural Network in MATLAB
Image mosaic algorithm implemented in MATLAB
Contributing to the neural network interpretation chapter of the IML book.
Plot and compute Julia set in MATLAB
Missing value imputation package in Python specialized for High-performance computing.
PyTorch implementation of DEC (Deep Embedding Clustering)
A pipeline retrieves reference genome data from NCBI server.
Seam carving algorithm implemented in MATLAB
A game theoretic approach to explain the output of any machine learning model.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
My implementation of LIME algorithm. Added decision tree local explainer.