AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

👑 Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA

A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.

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

PCA that iteratively replaces missing data

经典机器学习算法的极简实现

HoG, PCA, PSO, Hard Negative Mining, Sliding Window, Edge Boxes, NMS

🏗️ Statistical models for biomolecular dynamics 🏗️

Official code of ECCV 2020 paper "GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision". GSNet performs joint vehicle pose estimation and vehicle shape reconstruction with single RGB image as input.

Create animations for the optimization trajectory of neural nets

Code for "Effective Dimensionality Reduction for Word Embeddings".

Official code for "Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes", CVPR2022

Explore high-dimensional datasets and how your algo handles specific regions.

Comprehensive EOF analysis in Python with xarray: A versatile, multidimensional, and scalable tool for advanced climate data analysis

A repository for recording the machine learning code

a repository for my curriculum project

Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN

统计分析课程实验作业/包含《统计分析方法》中因子分析，主成分分析，Kmeans聚类等典型算法的手写实现

Python package that provides predictive models for fault detection, soft sensing, and process condition monitoring.

VIP is a python package/library for angular, reference star and spectral differential imaging for exoplanet/disk detection through high-contrast imaging.