ssimine

ssimine's Stars

• ChatGPTNextWeb/ChatGPT-Next-Web

  A cross-platform ChatGPT/Gemini UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT/Gemini 应用。

  Language:TypeScript76.1k59k

• scikit-optimize/scikit-optimize

  Sequential model-based optimization with a `scipy.optimize` interface

  Language:Python2.7k547

• deepcharles/ruptures

  ruptures: change point detection in Python

  Language:Python1.6k163

• schuetzgroup/sdt-python

  Python library for fluorescence microscopy data anlysis

  Language:Python488

• HSE-LAMBDA/roerich

  :point_up: Change point detection

  Language:Python6210

• gephi/gephi

  Gephi - The Open Graph Viz Platform

  Language:Java5.9k1.6k

• skfolio/skfolio

  Python library for portfolio optimization built on top of scikit-learn

  Language:Python1.2k100

• apple/ml-ferret

  Language:Python8.4k495

• brenkumi/canadian-pharoah

  Language:R61

• jmlcode/p2-ab-testing

  Analysis of mock A/B Test Results by an e-commerce company. Application of probability, hypothesis testing, sampling distribution, two-sample z-test, and logistic regression to determining whether the company should implement the new web page it developed to increase users' conversion rate

  Language:HTML55

• usnistgov/Hilbert

  Hilbert is a project that will contain numerous implementations (and approximations) of the discrete Hilbert transform.

  Language:Python33

• avehtari/BDA_py_demos

  Bayesian Data Analysis demos for Python

  Language:Jupyter Notebook995300

• aloctavodia/BAP

  Bayesian Analysis with Python (Second Edition)

  Language:Jupyter Notebook649250

• PacktPublishing/Bayesian-Analysis-with-Python-Second-Edition

  Bayesian Analysis with Python - Second Edition, published by Packt

  Language:Jupyter Notebook12869

• brendenlake/MLC

  Meta-Learning for Compositionality (MLC) for modeling human behavior

  Language:Python13818

• eugenet12/pytorch-rbm-autoencoder

  Pytorch implementation of an autoencoder built from pre-trained Restricted Boltzmann Machines (RBMs)

  Language:Jupyter Notebook237

• BinRoot/TensorFlow-Book

  Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

  Language:Jupyter Notebook4.5k1.2k

• bjpublic/MachineLearning

  선형대수와 통계학으로 배우는 머신러닝 with 파이썬

  Language:Jupyter Notebook5829

• victordibia/anomagram

  Interactive Visualization to Build, Train and Test an Autoencoder with Tensorflow.js

  Language:JavaScript18032

• aksnzhy/xlearn

  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 interface.

  Language:C++3.1k518

• OnYuKang/Recommendation-systems-paperlist

  Papers about recommendation systems that I am interested in

  36378

• mlflow/mlflow

  Open source platform for the machine learning lifecycle

  Language:Python18.6k4.2k

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python83.4k22.5k

• yoonkt200/python-data-analysis

  <이것이 데이터 분석이다 - 파이썬 편, 한빛미디어>의 예제입니다. 독자 여러분의 의견을 수렴하여 상시 업데이트 진행중입니다.

  Language:Jupyter Notebook98114

• rickiepark/handson-ml2

  핸즈온 머신러닝 2/E의 주피터 노트북

  Language:Jupyter Notebook533558

• twitter/the-algorithm

  Source code for Twitter's Recommendation Algorithm

  Language:Scala62.3k12.2k

• pedroramaciotti/HINPy

  A framework for the analysis of recommender systems and the diversity of recommendations in Heterogeneous Information Networks

  Language:Python205

• constancedongg/Horse-Racing

  Use various machine learning algorithms to predict horse racing results.

  Language:Jupyter Notebook239

• codeworks-data/mvp-horse-racing-prediction

  Using machine learning to predict HK Horse racing results

  Language:Jupyter Notebook5426

• yezune/information-theory

  2