ming-qin-tech Goto Github PK

-paper

为paper做的一切准备

30day_learn_os

主要参考书籍是川合秀实先生的《30天自制操作系统》

absa-pytorch

Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。

apollo1060

Data and models (with prediction scripts) used in publications related to Apollo1060 platform

awesome-active-learning

Hope you can find everything you need about active learning in this repository.

awesome-tikz

A curated list of awesome TikZ documentations, libraries and resources

chatgpt_academic

科研工作专用ChatGPT拓展，特别优化学术Paper润色体验，支持自定义快捷按钮，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python工程剖析功能/自我剖析功能

clade

clean-code-python

:bathtub: Clean Code concepts adapted for Python

combining-evolutionary-and-assay-labelled-data

cs-notes

😋 技术面试必备基础知识

cs224n

2019 year

ctr

Implementation of "Clustered Tree Regression to Learn Protein Energy Change with Mutated Amino Acid"

decision-transformer

Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

deep-learning-notes

Experiments with Deep Learning

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

dien

disentanglement_lib

disentanglement_lib is an open-source library for research on learning disentangled representations.

dlkcat

Deep learning and Bayesian approach applied to enzyme turnover number for the improvement of enzyme-constrained genome-scale metabolic models (ecGEMs) reconstruction

esm

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

first-pr

《GitHub实践入门》实验用仓库

flip

A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design

ggnn_meets_plm

git-tutorial

google-research

Google Research

graduate-year-one

一些上课的作业、ppt、笔记相关

hello-world

a simple place

idec-wiki

Repository for iDEC wiki. Mainly for Resources on Directed Evolution

impractical_python_projects

Code & supporting files for chapters in book

k-adapter