Metric learning algorithms in Python
- python
- metric-learning
- scikit-learn
- machine-learning
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Metric learning algorithms in Python
Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.
A research toolkit for particle swarm optimization in Python
GeneticSharp is a fast, extensible, multi-platform and multithreading C# Genetic Algorithm library that simplifies the development of applications using Genetic Algorithms (GAs).
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
java deep learning algorithms and deep neural networks with gpu acceleration
An auto-evolution framework that optimizes anything — your 7×24 team of algorithm engineers.
GraphFrames is a package for Apache Spark which provides DataFrame-based Graphs
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
The MEGA interview guide, JavaSciript, Front End, Comp Sci
C++ template library for high performance SIMD based sorting algorithms
Authenticated Encryption with Associated Data Algorithms: high-level encryption ciphers
A software library of stochastic streaming algorithms, a.k.a. sketches.
robotic motion planning library
A curated list of courses, online judges, visualizations, books and competitions for learning and practicing algorithms. English and Korean.
:four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
🧠+🎧 Build your music algorithms and AI models with the next-gen DAW 🔥
Implementation of some deep learning algorithms.
Graph library for Clojure
CLRS study. Codes are written with golang.
Algorithm is a library of tools that is used to create intelligent applications.
Open Robotics Automation Virtual Environment: An environment for testing, developing, and deploying robotics motion planning algorithms.
A Graph Library for Swift
A toolbox of AI modules written in Swift: Graphs/Trees, Support Vector Machines, Neural Networks, PCA, K-Means, Genetic Algorithms