sqfranklin

sqfranklin's Stars

• labuladong/fucking-algorithm

  刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

  Language:Markdown126k2.3k84523.2k

• youngyangyang04/leetcode-master

  《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

  Language:Shell51.5k38223911.5k

• chatchat-space/Langchain-Chatchat

  Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain

  Language:TypeScript31.8k2853.9k5.5k

• ml-explore/mlx

  MLX: An array framework for Apple silicon

  Language:C++16.9k146547977

• Dod-o/Statistical-Learning-Method_Code

  手写实现李航《统计学习方法》书中全部算法

  Language:Python11k310302.9k

• itcharge/LeetCode-Py

  ⛽️「算法通关手册」：超详细的「算法与数据结构」基础讲解教程，从零基础开始学习算法知识，850+ 道「LeetCode 题目」详细解析，200 道「大厂面试热门题目」。

  Language:Python5.9k38161.1k

• docker-easyconnect/docker-easyconnect

  使深信服（Sangfor）开发的非自由的 VPN 软件 EasyConnect 和 aTrust 运行在 docker 或 podman 中，并作为网关和/或提供 socks5、http 代理服务

  Language:Shell3.7k16332342

• determined-ai/determined

  Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

  Language:Go3k84385354

• rob-med/awesome-TS-anomaly-detection

  List of tools & datasets for anomaly detection on time-series data.

  2.9k10912450

• jakobrunge/tigramite

  Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at

  Language:Jupyter Notebook1.3k40197276

• hildensia/bayesian_changepoint_detection

  Methods to get the probability of a changepoint in a time series.

  Language:Jupyter Notebook6783129213

• dmbee/seglearn

  Python module for machine learning time series:

  Language:Python570272963

• GeoStat-Framework/GSTools

  GSTools - A geostatistical toolbox: random fields, variogram estimation, covariance models, kriging and much more

  Language:Python5641614374

• KDD-OpenSource/DeepADoTS

  Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

  Language:Python5631781114

• earthgecko/skyline

  Anomaly detection

  Language:Python550285463

• NetManAIOps/donut

  WWW 2018: Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications

  Language:Python4642042141

• makinarocks/awesome-industrial-machine-datasets

  Language:Jupyter Notebook447151182

• tsurubee/banpei

  Anomaly detection library based on singular spectrum transformation(sst)

  Language:Python302111047

• DataDog/piecewise

  ## Auto-archived due to inactivity. ## Functions for piecewise regression on time series data

  Language:Python1059935

• bevanda/Learning-Based-MPC

  Learning-Based Model Predictive Control (LBMPC)

  Language:MATLAB871028

• dokato/dfa

  Detrended Fluctuation Analysis

  Language:Jupyter Notebook637919

• DataAIPlayer/Intelligent-manufacturing

  Language:Python494114

• LahiruJayasinghe/machine-failure-detection

  PCA and DBSCAN based anomaly and outlier detection method for time series data.

  Language:Python444011

• JunqiLin/MultivariateTimeSeriesSimilarity

  Multivariate timeseries similarity compare, MTS, DTW, PCA, CPCA

  Language:Python28209

• aiaiyueq11/Tianchi-Industry-AI

  天池工业AI大赛

  Language:Jupyter Notebook21008

• vb100/AnomaliesDetection-with-TimeSeriesAnalysis

  This is an experimental of anomalies detection by applying different approach to the problem. PCA component regularization method, K-Mean Clustering, SVM and Gausian Distribution models has been used to detect anomalies on time series data.

  Language:Jupyter Notebook21108

• mtdo/ts-segment

  Semantic segmentation models for multivariate time series using PyTorch and Ignite

  Language:Jupyter Notebook17211

• icecube/kde

  Kernel Density Estimation: accelerated, multi-dimensional, and adaptive bandwidth

  Language:Python10616

• tugrulhkarabulut/Gaussian-Discriminant-Analysis

  Gaussian Discriminant Analysis introduction and Python implementation from scratch

  Language:Jupyter Notebook9201

• yl8/resume_screening

  通过大模型来进行简历筛选

  Language:Python6