ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python
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Updated
Dec 15, 2020
ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python
A k-d tree implementation in Go.
Fast Near-Duplicate Image Search and Delete using pHash, t-SNE and KDTree.
Probably the fastest C++ dbscan library.
A Julia package for downloading and analysing geospatial data from OpenStreetMap APIs.
a super lightweight head-only 3d kdtree library based on nanoflann
Unofficial python wrapper to the nanoflann k-d tree
A C++ header only library for fast nearest neighbor and range searches using a KdTree. It supports interfacing with Eigen, OpenCV, and custom data types and provides optional Python bindings.
Implementations of different algorithms for building Euclidean minimum spanning tree in k-dimensional space.
Inverse distance estimation solver for the GeoStats.jl framework
A Rust crate and Python library for packed, static, zero-copy spatial indexes.
A fast and efficient way to find the nearest neighbours using Kd-Tree Data structure in Unity3D.
Very fast static, flat Interval Tree for Go
Simple kdtree library in erlang
A Fortran implementation of KD-Tree searching
Sensor Fusion Nanodegree (Udacity) Projects.
Point Cloud processing (VoxelGrid Downsampling, RANSAC Segmentation, KDTree Euclidean Clustering) for obstacle detection for autonomous vehicles.
Build content-based image retrieval system using deep learning, applied some large scale similarity search technicals like Kdtree, LSH, Faiss.
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