lavida2009

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, ... 🧠

pythresh

Outlier Detection Thresholding

PromptAD

Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection

SPlayer

🎉 一个简约的音乐播放器，支持逐字歌词，下载歌曲，展示评论区，音乐云盘及歌单管理，音乐频谱，移动端基础适配 | 网易云音乐 | A minimalist music player

falcon-plus

An open-source and enterprise-level monitoring system.

cyeva

一个通用的确定性预报准确率测评工具包

awesome-log-analysis

A list of awesome research on log analysis, anomaly detection, fault localization, and AIOps

loglizer

A machine learning toolkit for log-based anomaly detection [ISSRE'16]

logparser

A machine learning toolkit for log parsing [ICSE'19, DSN'16]

Scalable-ML-PySpark-

Log Mining

FY4A

读取FY4A的所有产品

Movie_Data_Capture

Local Movies Organizer

StatisticalLearning_USTC

Statistical Learning course in USTC. 中科大统计学习（刘东）课程复习资料。

pyod

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

Anomaly-Detection

UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.

Iforest-Machine-learning-algorithm

HyperTS

A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.

U2PL

[CVPR'22] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels

battery_ad_gcn

Abnormal battery health status detection

outlier-detection-algorithm-isolation-forests

BNP Paribas Kaggle Data Set Data source: https://www.kaggle.com/c/bnp-paribas-cardif-claims-management Outlier Detection- Ensemble unsupervised learning method - Isolation Forest The isolation algorithm is an unsupervised machine learning method used to detect abnormal anomalies in data such as outliers. This is once again a randomized & recursive partition of the training data in a tree structure. The number of sub samples and tree size is specified and tuned appropriately. The distance to the outlier is averaged calculating an anomaly detection score: 1 = outlier 0 = close to zero are normal data.

TSFpaper

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.

onnx

Open standard for machine learning interoperability

Pangu-Weather

An official implementation of Pangu-Weather

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

ML-For-Beginners

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

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。

CS-Books-Store

你想要的计算机经典书籍，这里都有！

Ventoy

A new bootable USB solution.

cube-studio

cube studio开源云原生一站式机器学习/深度学习/大模型AI平台，支持sso登录，多租户，大数据平台对接，notebook在线开发，拖拉拽任务流pipeline编排，多机多卡分布式训练，超参搜索，推理服务VGPU，边缘计算，serverless，标注平台，自动化标注，数据集管理，大模型微调，vllm大模型推理，llmops，私有知识库，AI模型应用商店，支持模型一键开发/推理/微调，支持国产cpu/gpu/npu芯片，支持RDMA，支持pytorch/tf/mxnet/deepspeed/paddle/colossalai/horovod/spark/ray/volcano分布式

h5py

HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.