Statistical Machine Intelligence & Learning Engine
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Updated
Jul 14, 2021 - Java
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Statistical Machine Intelligence & Learning Engine
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Proto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin
Marker Clustering plugin for Leaflet
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
A high performance implementation of HDBSCAN clustering.
A curated list of community detection research papers with implementations.
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
General Assembly's 2015 Data Science course in Washington, DC
Machine Learning in R
Automatic cluster formation/healing for Elixir applications
A high-level machine learning and deep learning library for the PHP language.
This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.
A very fast geospatial point clustering library for browsers and Node.
Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.
Proto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin
Job scheduler and rate limiter, supports Clustering
Easy Map Annotation Clustering
A Julia machine learning framework
MooseFS – Open Source, Petabyte, Fault-Tolerant, Highly Performing, Scalable Network Distributed File System (Software-Defined Storage)
Easy clustering, registration, and distribution of worker processes for Erlang/Elixir
Tribuo - A Java machine learning library
Introduction
As a tester or developer, I want to have correct answer for Hepta FCPS sample so that I can use it in test scenarios to improve quality of the library.
Acceptance Criteria
Hepta.answer that will contain cluster labels for points from Hepta.data.Hepta.answer to definitions.EliasDB a graph-based database.
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
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