Pinned Repositories
apptainer
Apptainer: Application containers for Linux
awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
awesome-uncertainty-deeplearning
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
bo-evo_paper_data
causal-ml
Must-read papers and resources related to causal inference and machine (deep) learning
chatgpt_academic
科研工作专用ChatGPT/GLM拓展，特别优化学术Paper润色体验，模块化设计支持自定义快捷按钮&函数插件，支持代码块表格显示，Tex公式双显示，新增Python和C++项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持gpt-3.5/gpt-4/chatglm
cliff
A biological tool for calculating epistasis and ruggness of mutation dataset
deap
Distributed Evolutionary Algorithms in Python
DeepKE
[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction
fasthit
hury07's Repositories
hury07/fasthit
hury07/bo-evo_paper_data
hury07/apptainer
Apptainer: Application containers for Linux
hury07/awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
hury07/awesome-uncertainty-deeplearning
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
hury07/causal-ml
Must-read papers and resources related to causal inference and machine (deep) learning
hury07/chatgpt_academic
科研工作专用ChatGPT/GLM拓展，特别优化学术Paper润色体验，模块化设计支持自定义快捷按钮&函数插件，支持代码块表格显示，Tex公式双显示，新增Python和C++项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持gpt-3.5/gpt-4/chatglm
hury07/cliff
A biological tool for calculating epistasis and ruggness of mutation dataset
hury07/deap
Distributed Evolutionary Algorithms in Python
hury07/DeepKE
[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction
hury07/deepxde
A library for scientific machine learning and physics-informed learning
hury07/ED_Lib
Implementations of edge (ED, EDColor, EDPF), line (EDLines), circle and low eccentric ellipse (EDCircles) detection algorithms.
hury07/nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
hury07/indra
INDRA (Integrated Network and Dynamical Reasoning Assembler) is an automated model assembly system interfacing with NLP systems and databases to collect knowledge, and through a process of assembly, produce causal graphs and dynamical models.
hury07/METIS
METIS: A versatile active learning workflow for optimization of genetic and metabolic networks
hury07/swig
SWIG is a software development tool that connects programs written in C and C++ with a variety of high-level programming languages.