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anneal-path

Simulated Annealing-based branched novel biochemical pathway prediction tool

art_modified

A machine learning Automated Recommendation Tool for guiding synthetic biology

cdk_ecfp_shell

chat_leon

🧠 Leon is your open-source personal assistant.

cmpd_ezym_pred_heterogat

Compound Enzyme Prediction based on Heterogeneous Graph Attention Networks

cmpd_prot_interact_pred_v2.0

compound_data

A repo included useful python functions to deal with compound data from different database

compound_protein_interact_pred

Enzyme Activity Prediction of Sequence Variants on Novel Substrates using Improved Substrate Encodings and Convolutional Pooling

course_2023_w_aps1080

Course_2023_W_APS1080

dcgan-srgan

Basic GAN

exe

useful applications

filter_life_measurement

Estimating the remaining life of three types of aircraft system filters.

ft

kinmod

The hierarchical ontology of the KinMod database allows flexible exploration of data attributes and investigation of metabolic relationships within- and cross-species. Representing missing experimental values supports the rational experimental design to abridge kinetic parameter measurements. Linking multi-omics data and providing data on the metabolic regulation network encourages the development of novel machine learning techniques for predicting missing kinetic parameters and promotes accurate kinetic model construction of cells metabolism by providing a comprehensive list of available kinetic measurements. To define a thorough depiction of KinMod data, we develop six analyses to visualize associations between data classes belonging to separate sections of the metabolism. Through these analyses, we demonstrate that the KinMod database provides a unique framework for biologists and engineers to retrieve, evaluate and compare the functional metabolism of species, including the regulatory network, and discover the extent of available and missing experimental values of the metabolic regulation.

km_prediction

leetcode-java

🎓🎓🎓 Leetcode solution in Java - 536/921 Solved. https://leetcode.com/problemset/all/

mie1628_a3

mie1628_a4

DataFactoryAzureTest

molecule-graph-attributes-for-gnn

Obtain Molecule Graph Attributes For GNN

music

All Songs (Cover version)

protein_kinetics_data_scrapping

Protein kinetics data scrapping from BRENDA database.

reaction-distance-prediction

Machine Learning-based biochemical pathway length prediction

sentimentanalysis

Sentiment Analysis

tr_finance_ml

This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.

tr_machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

tr_mytt

MyTT将通达信,同花顺,文华麦语言等指标公式,最简移植到Python中,核心库单个文件，仅百行代码,十几个核心函数，神奇的实现所有常见技术指标算法（不依赖talib库）的纯python实现和转换通达信MACD,RSI,BOLL,ATR,KDJ,CCI,PSY等公式,全部基于pandas函数计算方法封装，简洁且高性能，能非常方便的应用在股票指标公式,股市期货量化框架分析,自动程序化交易,数字货币量化等领域,它是您最精练的股市量化工具。Python library with most stock market indicators.

vt_dfvi

pytorch implementation for "Deep Flow-Guided Video Inpainting"(CVPR'19)

vt_edge-connect

EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212

vt_fgvc

[ECCV 2020] Flow-edge Guided Video Completion

vt_guided-inpainting-rwml

Towards Unified Keyframe Propagation Models