Search Results for "hierarchical temporal memory"
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Showing 24 open source projects for "hierarchical temporal memory"
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OpenH264
Open Source H.264 Codec
Cisco has taken their H.264 implementation and open-sourced it under BSD license terms. Development and maintenance will be overseen by a board from the industry and the open-source community. Furthermore, we have provided a binary form suitable for inclusion in applications across a number of different operating systems and made this binary module available for download from the Internet. We will not pass on our MPEG-LA licensing costs for this module, and based on the current licensing... -
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NuPIC
Numenta platform for intelligent computing
The Numenta Platform for Intelligent Computing (NuPIC) is a machine intelligence platform that implements the HTM learning algorithms. HTM is a detailed computational theory of the neocortex. At the core of HTM are time-based continuous learning algorithms that store and recall spatial and temporal patterns. NuPIC is suited to a variety of problems, particularly anomaly detection and prediction of streaming data sources. For more information, see numenta.org or the NuPIC Forum. If you want... -
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uPlot
Chart for time series, lines, areas, ohlc and bars
μPlot is a fast, memory-efficient Canvas 2D-based chart for plotting time series, lines, areas, ohlc & bars; from a cold start it can create an interactive chart containing 150,000 data points in 135ms, scaling linearly at ~25,000 pts/ms. In addition to fast initial render, the zooming and cursor performance is by far the best of any similar charting lib; at ~40 KB, it's likely the smallest and fastest time series plotter that doesn't make use of context-limited WebGL shaders or WASM, both... -
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Configure your Node.js Applications
Node.js application configuration
Node-config organizes hierarchical configurations for your app deployments. It lets you define a set of default parameters, and extend them for different deployment environments (development, qa, staging, production, etc.). Configurations are stored in configuration files within your application, and can be overridden and extended by environment variables, command line parameters, or external sources. This gives your application a consistent configuration interface shared among a growing list... -
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Kotlin Dataframe
Structured data processing in Kotlin
Data frame is an abstraction for working with structured data. Essentially it’s a 2-dimensional table with labeled columns of potentially different types. You can think of it like a spreadsheet or SQL table, or a dictionary of series objects. The handiness of this abstraction is not in the table itself but in a set of operations defined on it. The Kotlin Dataframe library is an idiomatic Kotlin DSL defining such operations. The process of working with data frame is often called data... -
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Social Network Visualizer
Social Network Analysis and Visualization software
Visit our new site: http://socnetv.org Social Network Visualizer (SocNetV) is a social network analysis and visualization application. You can draw a social network (graph/digraph) or load an existing one (GraphML, UCINET, Pajek, etc), compute cohesion, centrality, community and structural equivalence metrics and apply various layout algorithms based on actor centrality or prestige scores (i.e. Eigenvector, Betweenness) or on dynamic models (i.e. Kamada-Kawai spring-embedder) -
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Classic HWUT - rename of previous HWUT
Software Unit Tests (Language Independent Approach)
Automation of Unit and System Tests. Tests can be implemented in any language and on many platforms. The flexible approach enables the inclusion of many types of tests, such as memory leak checks (using valgrind), coding rule checks, complexity checks, etc. Tests are run by a simple call to hwut in a base directory of a project. In particular for C, HWUT supports make file generation using 'sos' and 'sols' modes. Remote control-able function stubs may be generated using the 'stub' mode... -
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Robust Video Matting (RVM)
Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX
We introduce a robust, real-time, high-resolution human video matting method that achieves new state-of-the-art performance. Our method is much lighter than previous approaches and can process 4K at 76 FPS and HD at 104 FPS on an Nvidia GTX 1080Ti GPU. Unlike most existing methods that perform video matting frame-by-frame as independent images, our method uses a recurrent architecture to exploit temporal information in videos and achieves significant improvements in temporal coherence... -
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Keras TCN
Keras Temporal Convolutional Network
TCNs exhibit longer memory than recurrent architectures with the same capacity. Performs better than LSTM/GRU on a vast range of tasks (Seq. MNIST, Adding Problem, Copy Memory, Word-level PTB...). Parallelism (convolutional layers), flexible receptive field size (possible to specify how far the model can see), stable gradients (backpropagation through time, vanishing gradients). The usual way is to import the TCN layer and use it inside a Keras model. The receptive field is defined... -
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TestDisk & PhotoRec
Disk recovery utility
TestDisk checks the partition and boot sectors of your disks. It is very useful in recovering lost partitions. It works with : DOS/Windows FAT12, FAT16 and FAT32NTFS ( Windows NT/2K/XP )Linux Ext2 and Ext3BeFS ( BeOS )BSD disklabel ( FreeBSD/OpenBSD/NetBSD )CramFS (Compressed File System)HFS and HFS+, Hierarchical File SystemJFS, IBM's Journaled File SystemLinux RaidLinux Swap (versions 1 and 2)LVM and LVM2, Linux Logical Volume ManagerNetware NSSReiserFS 3.5, 3.6 and 4Sun Solaris i386... -
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Query.jl
Query almost anything in julia
Query is a package for querying julia data sources. It can filter, project, join and group data from any iterable data source, including all the sources supported in IterableTables.jl. One can for example query any of the following data sources: any array, DataFrames, DataStreams (including CSV, Feather, SQLite, ODBC), DataTables, IndexedTables, TimeSeries, Temporal, TypedTables and DifferentialEquations (any DESolution). The package currently provides working implementations for in-memory data... -
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Texar
Toolkit for Machine Learning, Natural Language Processing
Texar is a toolkit aiming to support a broad set of machine learning, especially natural language processing and text generation tasks. Texar provides a library of easy-to-use ML modules and functionalities for composing whatever models and algorithms. The tool is designed for both researchers and practitioners for fast prototyping and experimentation. Texar was originally developed and is actively contributed by Petuum and CMU in collaboration with other institutes. A mirror of this... -
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Pharos
RTOS for Secure, Safe and Real-Time Systems
Pharos is a free open-source RTOS for secure, safe and real-time systems with the following characteristics: - Memory and enhanced time partitioning (TSP) - Native support for sporadic, periodic and aperiodic threads - Fixed-priority preemptive scheduler - Execution time protection (threads are prevented from executing for more time than they are configured to) - Small size (full image has ~100 to 300KiB text, ~30KiB data) - Hard real-time determinism - Fast critical sections... -
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HttpRouter
A high performance HTTP request router that scales well
HttpRouter is a lightweight high performance HTTP request router (also called multiplexer or just mux for short) for Go. In contrast to the default mux of Go's net/http package, this router supports variables in the routing pattern and matches against the request method. It also scales better. The router is optimized for high performance and a small memory footprint. It scales well even with very long paths and a large number of routes. A compressing dynamic trie (radix tree) structure is used... -
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Happy Java Library
Multilock, Collections, Controllers, Delegates, Generators, Streams
Helps to develop and test event-based multi-threaded Java application. Because of method called as API-Evolution the Happy Java Library is fully downward compatible. The library contains following functionality: MultiLock, Parallel loops, Collections, Controllers, Generators, Delegates, Streams. -
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Summa
Lucene/Solr based search engine and workflow system
Important: This project has been moved to https://github.com/statsbiblioteket/summa/ Lucens (and Solr) based search engine with very flexible setup and workflow system. It supports incremental updates, hierarchical faceting and index lookup with low memory overhead. Note: Although Summa is open source, the focus is on features used at Statsbiblioteket. No explicit resources has been allocated for support of external users. -
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Five video classification methods
Code that accompanies my blog post outlining five video classification
Classifying video presents unique challenges for machine learning models. As I’ve covered in my previous posts, video has the added (and interesting) property of temporal features in addition to the spatial features present in 2D images. While this additional information provides us more to work with, it also requires different network architectures and, often, adds larger memory and computational demands.We won’t use any optical flow images. This reduces model complexity, training time... -
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... server; * Software developers analyzing the troughput of their process: e.g. TCP throughput, memory usage, memory leaks; The most advanced feature is the monitoring of TCP/IP traffic figures, for each SINGLE process (actual connections and throughput). As far as known no other tool has this capability. In the process tree, use the right mouse button to monitor process details.
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Neuroblock
A Project to crerate artificial intellignece
This is a project to create artificial intelligence , It uses the components created by Deric , It uses a type of hierarchical memory which is modeled exactly based on how brain processes neural activity , at the concepts core stands a block of neurons made up of neurons which can only be on or off but never both , and these neurons are staked on top of each other to form mini columns -
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Importer library to import assets from different common 3D file formats such as Collada, Blend, Obj, X, 3DS, LWO, MD5, MD2, MD3, MDL, MS3D and a lot of other formats. The data is stored in an own in-memory data-format, which can be easily processed. www.open3mod.com/ is a 3D model viewer and exporter based on Assimp that is also Open Source.
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openHTM
An open-source implementation of the HTM Cortical Learning Algorithms
openHTM is an open-source implementation of the HTM Cortical Learning Algorithms initially proposed by Jeff Hawkins in his book On Intelligence. Hierarchical temporal memory (HTM) is a machine learning model developed by Jeff Hawkins and Dileep George of Numenta, Inc. that models some of the structural and algorithmic properties of the neocortex. HTM is a biomimetic model based on the memory-prediction theory of brain function described by Jeff Hawkins in his book On Intelligence. HTM... -
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An implementation of the Memory Prediction Framework. For more information on memory prediction framework (aka HTM – Hierarchical Temporal Memory) go to http://www.numenta.com which is a company of Jeff Hawkins, the inventor of the theory.
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An implementation of memory-prediction framework applied for image recognition. Based on Jeff Hawkins' book On Intelligence. It models the high-level hierarchical architecture of human neocortex and uses Bayesian belief revision for making predictions
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Yaobi is a fast collision detection library for general triangulated objects. It uses a hierarchical representation based on oriented bounding boxes. Yaobi compares well with other libraries when it comes to speed and memory consumption.
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