Name: Boxiang Liu
Type: User
Company: National University of Singapore
Bio: Asst. Prof. @NUS, ex-Staff Research Scientist @Baidu, bioinformatics Ph.D. @Stanford. Working in the intersection between AI/ML and biology/medicine.
Twitter: boxiangliu
Location: Singapore
Blog: boxiangliulab.com
Boxiang Liu's Projects
Deep neural models for core NLP tasks (Pytorch version)
Contains code to analyze the OneK1K data and perform eQTL mapping of 14 cell types
Pangolin is a deep-learning method for predicting splice site strengths.
Chinese to English medical translation
Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
:fire: A PyTorch implementation of a Bi-LSTM CRF with character-level features
A learning rate range test implementation in PyTorch
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
MNIST model in Pytorch lightning
The RPE project
Retrieve author and publication information from Google Scholar in a friendly, Pythonic way
Simulated annealing for codon optimization
Sum of Independent Non-identical Binomial Random Variables
Pytorch implementation of spliceAI
Nextflow implementation of SpliZ
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
A package to predict protein inter-residue geometries from sequence data
Variant Set Enrichment Analysis