Jason Dou's repositories
A-NHP
Public Repo for Attentive-NeuralHawkesProcess (A-NHP)
ACL2022_KnowledgeNLP_Tutorial
Materials for ACL-2022 tutorial: Knowledge-Augmented Methods for Natural Language Processing
AMBER
Automated Modelling for Biological Evidence-based Research
anhp-andtt
Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)
counterfactual-tpp
Code and real data for the paper "Counterfactual Temporal Point Processes", available at arXiv.
CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
EHRKit-2022
A Python Natural Language Processing Toolkit for Electronic Health Record Texts
flair
A very simple framework for state-of-the-art Natural Language Processing (NLP)
gen-arg
Code for paper "Document-Level Argument Extraction by Conditional Generation". NAACL 21'
HighMMT
Towards Modality and Task Generalization for High-Modality Representation Learning
iBKH
iBKH: The integrative Biomedical Knowledge Hub
Leetcode
🎓Leetcode solutions in Python 📚
Multimodal-Transformer
[ACL'19] [PyTorch] Multimodal Transformer
PlotNeuralNet
Latex code for making neural networks diagrams
PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
qagnn
[NAACL 2021] QA-GNN: Question Answering using Language Models and Knowledge Graphs
rCausalMGM
R package for causal MGM algorithms implemented in C++
rlkit
Collection of reinforcement learning algorithms
SCOT
Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data
spatial-alignment
Alignment of spatial genomics data using deep Gaussian processes
survey-of-DL-for-scRNA-seq-analysis
Deep learning tackles single-cell analysis - A survey of deep learning for scRNA-seq analysis
TDC
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development