Zephyr

MedCLIP. EMNLP'22 | MedCLIP: Contrastive Learning from Unpaired Medical Images and Texts

transtab. NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables

BioBridge. ICLR'24 | BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs

SurvTRACE. SurvTRACE: Transformers for Survival Analysis with Competing Events

Influence_Subsampling. Official Implementation of Unweighted Data Subsampling via Influence Function - AAAI 2020

Hurst-exponent-R-S-analysis-. Calculates the Hurst exponent of a time series based on Rescaled range (R/S) analysis.

PAC-Bayes-IB. Official repo for PAC-Bayes Information Bottleneck. ICLR 2022.

PromptEHR. EMNLP'22 | PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning

CVIB-Rec. Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.

Trial2Vec. Findings of EMNLP'22 | Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision

MediTab. The code for the paper "MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement"

thuthesis-tbsi. LaTeX Thesis Template for Tsinghua University - Special Ediction for TBSI

TrialMind-SLR. Wang, Z., Cao, L., Danek, B. et al. Accelerating clinical evidence synthesis with large language models. npj Digit. Med. 8, 509 (2025). https://doi.org/10.1038/s41746-025-01840-7

SDSIT. Seminar in Data Science and Information Technology (SDSIT) given by Prof. Laurent El Ghaoui, in Summer, 2020.

StockPricePrediction. A demo of stockprice prediction & arbitrage trading.

BioDSBench. Wang, Z., Danek, B., Yang, Z. et al. Making large language models reliable data science programming copilots for biomedical research. Nat. Biomed. Eng (2026). https://doi.org/10.1038/s41551-025-01587-2

construction-site-segmentation. An open dataset for semantic segmentation on construction site, released by the paper: "Deep Semantic Segmentation for Visual Understanding on Construction Sites".

HGNN_EHR. Python

CUDA_Tutorial. My CUDA C practices while learning the CUDA C Programming Introduction.

BioDSA-deprecated. Benchmarking Data Science Code Generation for Biomedical Research

tf-FFM. Tensorflow based field-aware factorization machine, FFM.

B.S._Graduate_Project. My B.E. graduate project codes.

Learning_from_data. The homework of the course Learning From Data taught by Prof.HUANG in Tsinghua-Berkeley Shenzhen Institute(TBSI).

My_Leetcode_Solution. Leetcode Practices.

QuantStrategy. Several tools & backtest samples being implemented in Financial Engineering.

tf-deepFM. A deep factorization machine (deepFM) implemented via Tensorflow.

Quant_Investment_Course. Introduction to the Statistical Arbitrage investment.

ILSVRC2015_VID_operation. How to use ILSVRC2015 video data for object tracking train and test.

Face_Recognition. A demo on face detection, classification and verification via tensorflow.

InformBench. Benchmarking the Compliance and Factuality of Large Language Models for Clinical Research Document Generation

graph4nlp. Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!

Understanding-Models-Through-The-Training-Data. Understand predictions of black box models by studying the influence of the training data