mqq982068

mqq982068's Stars

• HenryQW/Awesome-TTRSS

  🐋 Awesome TTRSS, a powerful Dockerised all-in-one RSS solution.

  Language:PHP2.4k496

• jagenjo/litegraph.js

  A graph node engine and editor written in Javascript similar to PD or UDK Blueprints, comes with its own editor in HTML5 Canvas2D. The engine can run client side or server side using Node. It allows to export graphs as JSONs to be included in applications independently.

  Language:JavaScript6.8k727

• xyflow/xyflow

  React Flow | Svelte Flow - Powerful open source libraries for building node-based UIs with React (https://reactflow.dev) or Svelte (https://svelteflow.dev). Ready out-of-the-box and infinitely customizable.

  Language:TypeScript25.8k1.7k

• eddiepease/image-segmentation-GMM

  Image Segmentation with Gaussian Mixture Models

  Language:Matlab13

• hrshtv/HMRF-GMM-EM-Segmentation

  Image segmentation using the EM algorithm that relies on a GMM for intensities and a MRF model on the labels. Based on "Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm" (Zhang, Y et al.)

  Language:MATLAB222

• Tech-with-Vidhya/image_segmentation_using_unsupervised_gaussian_mixture_model_GMM_clustering

  This project deals with the segmentation of various images into clusters using UnSupervised Gaussian Mixture Model (GMM) Clustering Algorithm. The project involves below steps in the life-cycle and implementation. 1. Image Exploration 2. Image Pre-Processing and Reshaping 3. Model Fitting 4. Model Predictions and Validations 5. Visualising the Segmented Image

  Language:Jupyter Notebook1

• jonychoi/kmeans_em_segmentation

  Grayscale image segmentation with KMeans and Gaussian Mixture Model Algortithm

  Language:Python2

• barualee/GMM-EMM-Image-Segmentation

  Image Segmentation using Gaussian Mixture Models (GMM) and EMM (Expectation Maximisation), using Python. Works for both RGB and Black-White images

  Language:Python2

• wq2012/GMM-HMRF

  GMM-Based Hidden Markov Random Field for Color Image and 3D Volume Segmentation

  Language:MATLAB176

• essanhaji/images-segmentation-with-gmm

  Images Segmentation using GMM

  Language:Jupyter Notebook3

• Prasheel24/image-segmentation-gmm

  Image Segmentation with Gaussian Mixture Model

  Language:Python7

• dani-amirtharaj/ImageSegmentation-Clustering-MorphologicalProcessing

  Programs to detect clusters in data using GMM and compressed images (Color Quantization) using k-means clustering methods, detect bone fragments in an X-ray image using Segmentation and de-noise binary images using Morphological Image Processing.

  Language:Python131

• mdmartin/GMM_Image_Segmentation

  Use GMM to segment a gray-scale pic.

  Language:Matlab22

• laituan245/image-segmentation-GMM

  Image Segmentation using Gaussian Mixture Models

  Language:Python267

• Ruk1ng001/freeSub

  free clash sub. Update at anytime. 不要fork !!! 不要fork !!! 不要fork !!!

  37231

• HusseinYounis/senior

  Language:Jupyter Notebook1

• biolab/orange3

  🍊 :bar_chart: :bulb: Orange: Interactive data analysis

  Language:Python4.9k1k

• lmcinnes/umap

  Uniform Manifold Approximation and Projection

  Language:Python7.4k807

• giorgioroffo/bayes-classifier-with-GMM

  Bayes Classifier with Gaussian Mixture Models to generate handwritten images

  Language:Python7

• BasisResearch/millipede

  A library for bayesian variable selection

  Language:Jupyter Notebook275

• hazimehh/L0Learn

  Efficient Algorithms for L0 Regularized Learning

  Language:C++9432

• yijizhao/BJTU-Thesis-Latex

  Language:TeX136

• ldeecke/gmm-torch

  Gaussian mixture models in PyTorch.

  Language:Python51285

• PKUFlyingPig/cs-self-learning

  计算机自学指南

  Language:HTML57.6k6.9k

• bertini36/GMM

  Variational Inference in Gaussian Mixture Model

  Language:Python5817

• WZMIAOMIAO/deep-learning-for-image-processing

  deep learning for image processing including classification and object-detection etc.

  Language:Python23.1k8k

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python56k5.8k

• xcanwin/KeepChatGPT

  这是一款提高ChatGPT的数据安全能力和效率的插件。并且免费共享大量创新功能，如：自动刷新、保持活跃、数据安全、取消审计、克隆对话、言无不尽、净化页面、展示大屏、拦截跟踪、日新月异、明察秋毫等。让我们的AI体验无比安全、顺畅、丝滑、高效、简洁。

  Language:JavaScript14.6k728

• binary-husky/gpt_academic

  为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&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chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

  Language:Python65.5k8k

• hehonghui/awesome-english-ebooks

  经济学人(含音频)、纽约客、卫报、连线、大西洋月刊等英语杂志免费下载,支持epub、mobi、pdf格式, 每周更新

  Language:CSS22k1.7k