haleylgc's Stars
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。
blei-lab/edward
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
tommyod/KDEpy
Kernel Density Estimation in Python
adjidieng/ETM
Topic Modeling in Embedding Spaces
bguillouet/traj-dist
A python package for computing distance between 2D trajectories.
rajarshd/Gaussian_LDA
sandipanpaul21/Clustering-in-Python
Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.
yaoyz96/elsevier-submission
submission file of elsevier.
leovan/leovan.me
范叶亮的个人网站 | Leo Van's Website
AtsushiSakai/pycubicspline
Cubic spline library on python
jim-spyropoulos/Trajectory-Analysis-and-Classification-in-Python-Pandas-and-Scikit-Learn
Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently trajectories.
bguillouet/trajectory_classification
Python code to re-produce results and illustrations of trajectory classification.
shimazaki/AdaptiveKDE
Python module for adaptive kernel density estimation
uestc-db/traj-compression
aryancodify/Clustering
Implementation OF KMEans, KMode, Kprototype and Agllomerative Hierarchical Clustering Using Python.
MengtingWan/KDEm
This repository includes data and code for the algorithm of Kernel Density Estimation from Multiple Sources (KDEm) proposed in a KDD'16 paper
lukehb/137-stopmove
Algorithms to automatically discover stops and moves in GPS trajectories.
GeoAI4GlobalChange/Spatial-Statistics
The repository contains methods and applications of spatial-statistics, like Fast and Adaptive Kernel Density Estimation for Hundreds of Millions of points
kennedykwangari/Mall-Customer-Segmentation-Data
Leveraging on Unsupervised Learning Techniques (K-Means and Hierarchical Clustering Implementation) to Perform Market Basket Analysis: Implementing Customer Segmentation Concepts to score a customer based on their behaviors and purchasing data
marthadais/AISclassification
A geometric-driven semi-supervised approach for fishing activity detection from AIS data.
bguillouet/destination_prediction
Python code to re-produce results and illustrations of destination prediction by trajectory distribution based model.
marthadais/TrajectoriesCompressionAnalysis
The proposed methodology assess how compression algorithms influence the clustering analysis with respect to anomaly detection of vessel trajectories.
marthadais/MovementAnalysis
An analysis of the behavior of fishing vessels in order to detect patterns and outliers/anomalies.
DataStories-UniPi/Trajectory-Synopses-Generator
Source code for Trajectory detection and summarization built on Apache Flink 0.10.2 (streaming) platform.
yuzisheng/trajectory-compress
This repository is some trajectory compress algorithms in Python, including Douglas Peucker, Curvature Streaming, and Degree Streaming.
lucaspetry/trajectory-data
NoaKel/NLP-ASS1
89680 - POS and NER tagging HMM, MEMM greedy and viterbi
Sohini24/Sohini_Roy_Clustering_Assignment
This is a Clustering Assignment performed by using K-means and Hierarchical Clustering. 167 countries and 10 features have been given to the dataset. Countries have been clustered and final list of 10 countries has been identified based on low GDP, L0w income and high child mortality rate which made them the best candidates for financial aid from Help International NGO. Dataset used: Country-data.csv collected from shared file on Upgrad. This is solely for learning purpose.
cynsky/ShipTrajectoryReconstruction
reconstruct ship uncertain trajectories mainly in china east
marthadais/shaplets-python
Python implementation of the Learning Time-Series Shapelets method, that learns a shapelet-based time-series classifier with gradient descent.