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Reading list for research topics in state-space models
BioMamba is a pre-trained Mamba architecture model for the biomedical domain.
Repository for Data Distillation for Offline Reinforcement Learning
This project is designed for a simple LLM agent with tools on a clinical knowledge graph in Neo4j.
Code for the Paper: TrialDura: Hierarchical Attention Transformer for Interpretable Clinical Trial Duration Prediction
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence
We introduce new zero-shot prompting magic words that improves the reasoning ability of language models: panel discussion!
A lightweight framework for building LLM-based agents
Awesome-LLM: a curated list of Large Language Model
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
benchmark dataset and Deep learning method (Hierarchical Interaction Network, HINT) for clinical trial approval probability prediction, published in Cell Patterns 2022.
Discover, Learn, and Connect with the Extraordinary World of Plants with PlantPal!
Official Repository for the Uni-Mol Series Methods
Emerging Drug Interaction Prediction Enabled by Flow-based Graph Neural Network with Biomedical Network. Nature Computational Science. 2023.
GenoCraft: A Comprehensive, User-Friendly Web Platform for High-Throughput Omics Data Analysis and Visualization (https://arxiv.org/pdf/2312.14249)
Relation-aware Ensemble Learning for Knowledge Graph Embedding. EMNLP. 2023
The code of EmerGNN, which is designed for predicting interactions between emerging and existing drugs.
Knowledge Graph Reasoning with Relational Digraph. WebConf 2022
KGTuner: Efficient Hyper-parameter Search for Knowledge Graph Learning" (ACL 2022 long paper)
User-friendly extensions of the DrugBank database
LibKGE - A knowledge graph embedding library for reproducible research
Benchmarking Utilities for AutoGluon
A feature engineering kit for each issue, to give you a deeper and deeper understanding of the work of feature engineering!
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI …
TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning
Python implementations of the Boruta all-relevant feature selection method.