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academic-kickstart

📝 Easily create a beautiful website using Academic, Hugo, and Netlify

acl4ssr

SSR 去广告ACL规则/SS完整GFWList规则/Clash规则碎片，Telegram频道订阅地址

awesome-automl

Curating a list of AutoML-related research, tools, projects and other resources

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-open-geoscience

Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome

bujianbusan.github.io

The source code (html) of static website OpenKinetics.

chromalignnet

Deep neural network for the alignment of GC-MS peaks

chromatics

view and analyze chromatography data

chromatography

Tools for storing, search and analyze GC/MS spectra

deep-learning-for-time-series-data

The examples showcase two ways of using deep learning for classifying time-series data, i.e. ECG data. The first way is using continuous wavelet transform and transfer learning, whereas the second way is using Wavelet Scattering and LSTMs. The explanations of the code are in Chinese. The used data set can be download on：https://github.com/mathworks/physionet_ECG_data/

deeppseudomsi

Deep learning-based pseudo mass spectrometry imaging

dna-sequence-machine-learning

Understand DNA structure and how machine learning can be used to work with DNA sequence data.

dtwparallel

ecg

Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network

environment-files

Qiime2各个版本的包列表

fastei

Ultra-fast and Accurate Spectrum Matching

gambit

Gambit

gcalignr

Simple peak alignment for gas-chromatography data in R

gcn-retention-time-predictions

Implementation of graph convolutional networks to predict chromatographic retention times.

gcxgc-alignment

Algorithm for aligning GCxGC chromatograms

gcxgc-ms-alignment

algorithm for aligning GCxGC-MS chromatograms (Zushi et al., 2017)

global_geochemistry

A global geochemistry dataset for rocks

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

linux-learn

llm-scientific-feedback-zdw

Can large language models provide useful feedback on research papers? A large-scale empirical analysis.

machine-learning

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

machine-learning-models

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

ml-for-beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

mossgpt-utools

ChatGPT - uTools 插件