483 Open source projects that are alternatives of or similar to Spyking Circus

A High Performance HTTP Server for Ruby

SCAN: Learning to Classify Images without Labels (ECCV 2020), incl. SimCLR.

Machine learning. Clustering by fast search and find of density peaks.

Watset: Automatic Induction of Synsets from a Graph of Synonyms

Time series distances: Dynamic Time Warping (DTW)

K-Means clustering - constrained with minimum and maximum cluster size

🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained

Easy clustering, registration, and distribution of worker processes for Erlang/Elixir

Brian is a free, open source simulator for spiking neural networks.

Tribuo - A Java machine learning library

Python implementation of bag-of-concepts

A list of references on lidar point cloud processing for autonomous driving

The Tensorflow code and a DeepMind Lab wrapper for my article "Meta-Reinforcement Learning" on FloydHub.

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

For running psychology and neuroscience experiments

Make Complex Heatmaps

R scripts to reproduce analyses in our paper comparing clustering methods for high-dimensional cytometry data

ELKI Data Mining Toolkit

Real-time position tracker for behavioral research

Straightforward fuzzy matching, information retrieval and NLP building blocks for JavaScript.

Data and devtools for the "Large-Scale Object Discovery and Detector Adaptation from Unlabeled Video" paper.

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

A motor unit based model of skeletal muscle and fatigue

The MATLAB toolbox for MEG, EEG and iEEG analysis

The Ruby DataMining Gem, is a little collection of several Data-Mining-Algorithms

Automated mouse atlas propagation

React Native map clustering both for Android and iOS.

A Julia machine learning framework

A tidyverse suite for (pre-) machine-learning: cluster, PCA, permute, impute, rotate, redundancy, triangular, smart-subset, abundant and variable features.

MooseFS – Open Source, Petabyte, Fault-Tolerant, Highly Performing, Scalable Network Distributed File System (Software-Defined Storage)

pyclustring is a Python, C++ data mining library.

Implementation of different techniques to find insights from the satellite data using Python.

A curated list of awesome neuroscience libraries, software and any content related to the domain.

PyTorch Connectomics: segmentation toolbox for EM connectomics

🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.

MOB-suite: Software tools for clustering, reconstruction and typing of plasmids from draft assemblies

A scikit-learn based module for multi-label et. al. classification

Compressing Representations for Self-Supervised Learning

A Python library for creating and simulating large-scale brain models

Preparatory Materials, Self-guided Learning, and Project Management for Neuromatch Academy activities

EliasDB a graph-based database.

Julia implementation of unsupervised learning methods for time series datasets. It provides functionality for clustering and aggregating, detecting motifs, and quantifying similarity between time series datasets.

Statistical Machine Intelligence & Learning Engine

ONI-compatible hardware, firmware, and host APIs for advanced neuroscience experiments.

A lean C++ library for working with point cloud data

A simple python implementation of Fuzzy C-means algorithm.

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

Repository for *SEM Paper on Event Coreference Resolution in ECB+

Training of Locally Optimized Product Quantization (LOPQ) models for approximate nearest neighbor search of high dimensional data in Python and Spark.

Temporal Network Tools

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

fast clustering algorithms

Open-source distributed computation and storage platform

golang bigcache with clustering as a library.

Advanced Developer Async Programming Toolkit

Proto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin

Hierarchical, iterative clustering for analysis of transcriptomics data in R

Implementation for the paper "K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters,", which has been accepted by KDD'2019 as an ORAL paper, in the Research Track.

Clustering for arbitrary data and dissimilarity function

A framework for data stream modeling and associated data mining tasks such as clustering and classification. - R Package