Search Results for "ann"
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Showing 40 open source projects for "ann"
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VectorChord
Scalable, fast, and disk-friendly vector search in Postgres
VectorChord is an open-source vector database built for local and edge deployment. It supports efficient vector indexing and retrieval using ANN (approximate nearest neighbor) algorithms and is optimized for integration with LLM and AI applications. VectorChord is lightweight and can be embedded in a variety of environments for fast semantic search. -
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ml.js
Machine learning tools in JavaScript
This library is a compilation of the tools developed in the mljs organization. It is mainly maintained for use in the browser. If you are working with Node.js, you might prefer to add to your dependencies only the libraries that you need, as they are usually published to npm more often. We prefix all our npm package names with ml- (eg. ml-matrix) so they are easy to find. -
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DeepMatch
A deep matching model library for recommendations & advertising
DeepMatch is an open-source deep matching library built for recommendation and advertising systems. It helps developers train models that learn vector representations for users and items. These representations can be exported and used in approximate nearest neighbor search for large-scale retrieval. The library supports familiar Keras workflows through model.fit() and model.predict(). Its model collection includes FM, DSSM, YouTubeDNN, NCF, SDM, MIND, and ComiRec. It is designed to make... -
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Vald
Vald. A Highly Scalable Distributed Vector Search Engine
Vald is a highly scalable distributed fast approximate nearest neighbor dense vector search engine. Vald is designed and implemented based on the Cloud-Native architecture. It uses the fastest ANN Algorithm NGT to search for neighbors. Vald has automatic vector indexing and index backup, and horizontal scaling which is made for searching from billions of feature vector data. Vald is easy to use, feature-rich and highly customizable as you needed. Usually, the graph requires locking during indexing, which causes stop-the-world. ... -
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ZeusDB Vector Database
Blazing-fast vector DB with similarity search and metadata filtering
ZeusDB is a vector database built for fast, scalable similarity search with strong production ergonomics. It combines high-performance approximate nearest neighbor indexes with clean APIs and metadata filtering so applications can retrieve semantically relevant items at low latency. The storage layer is designed for durability and growth, supporting sharding, replication, and background compaction while keeping query tails predictable. Developers get multiple ingestion paths—batch,... -
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Vespa
The open big data serving engine
Make AI-driven decisions using your data, in real-time. At any scale, with unbeatable performance. Vespa is a full-featured text search engine and supports both regular text search and fast approximate vector search (ANN). This makes it easy to create high-performing search applications at any scale, whether you want to use traditional techniques or a modern vector-based approach. You can even combine both approaches efficiently in the same query, something no other engine can do. Recommendation, personalization and targeting involves evaluating recommender models over content items to select the best ones. ... -
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NifFINDER
A preditor of Nif proteins
Tool developed in MATLAB to identify the set of proteins encoded by the nifs genes (which are called Nifs). Niffinder identifies up to 24 Nifs - For each Nif protein an Artificial Neural Network (ANN) was built. -
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Venice is a stock market trading programme that supports portfolio management, charting, technical analysis, paper trading and genetic programming. Venice runs in a graphical user interface with online help and has full documentation.
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UUE
UUE is a tool that converts files to and from uuencoding
uuencoding is a form of binary-to-text encoding that originated in the Unix programs uuencode and uudecode written by Mary Ann Horton at UC Berkeley in 1980, for encoding binary data for transmission in email systems. This project is licensed under the ISC License. Copyright © 2020-2022 ALBANESE Research Lab Source code: https://github.com/pedroalbanese/uuencode Visit: http://albanese.atwebpages.com -
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Gamma
Real time vector search engine
...As for the part of similarity search of vectors in Gamma, it is mainly implemented based on faiss which is an open-source library developed by Facebook AI Research. Besides faiss, it can easily support other approximate nearest neighbor search(ANN) algorithms or libraries. -
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Dosage form optimizer
Optimize dosage form based on R models (ANN, GP, FL)
Software delivers the possibility of automatic dosage form optimization based on R models. Up to now, 4 different modules are available and allow user to exploit R models created with monmlp, neuralnet, rgp, and fugeR tools. -
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PyTorch-BigGraph
Generate embeddings from large-scale graph-structured data
PyTorch-BigGraph (PBG) is a system for learning embeddings on massive graphs—think billions of nodes and edges—using partitioning and distributed training to keep memory and compute tractable. It shards entities into partitions and buckets edges so that each training pass only touches a small slice of parameters, which drastically reduces peak RAM and enables horizontal scaling across machines. PBG supports multi-relation graphs (knowledge graphs) with relation-specific scoring functions,... -
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Space International SHIKA Crypto-suite
High-grade military diplomatics-grade cryptography suite
...The diplomatic and military standard cipher approved for even TOP SECRET storage, processing and transmission by Space International senates, militaries and government agencies. The cryptography components in the suite for the Q (D, Z) family of cryptographic components are fully magnetic-proof. Designed by Ann Space, Chiko Space and Mika Space, senators of the Most High Senate of Space International, and military generals of the special division of the Infinite Military of Space International (Navy). Better than Serpent, Twofish and AES ciphers. Fully unbreakable. Reasonable performance for the assured ultra high-grade security. Approved by Space International senates and top militaries. ... -
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imagination
Do computers imagine?
A app and lib that allow you to "Imagine" images based on others easily and pretty quickly. Wrote in C# - it uses ANN internally. -
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Preference Learning Toolbox
Open source toolbox to create preference models
Preference learning (PL) is a core area of machine learning that handles datasets with ordinal relations. As the number of generated data of ordinal nature such as ranks and subjective ratings is increasing, the importance and role of the PL field becomes central within machine learning research and practice. This SourceForge project provides an open source preference learning toolbox (PLT) that supports the key data modelling phases incorporating various popular data preprocessing,... -
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NN Image Recognition (with source-code)
This is ANN trained application to predict digits from 0 - 9.
It can predict digits from 0-9 with Artificial Neural Network. I trained ANN with 100 samples of each digit. It takes input of 20x20 pixel image and predicts it with Neural Network. It may predict wrong digit due to very low sample data but it work 90% correctly. Note: JRE 1.6 is required to run this application. -
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HPeak
A HMM-based algorithm for defining enriched regions from ChIP-seq data
...Command (single-end): perl /compbio/software/HPeak3/HPeak.pl -sp HUMAN/MOUSE -format BED -t TREATMENT.inp -c CONTROL.inp -n OUTPUTPREFIX -fmin 100 -fmax 300 -r 36 -ann -wig -seq -interfiles Command (pair-end): perl /compbio/software/HPeak3/HPeak.pl -sp HUMAN/MOUSE -format BED -pe TREATMENT.inp -c CONTROL.inp -n OUTPUTPREFIX -isize 200 -r 100 -pec (if control is PE) -ann -wig -seq –interfiles note: 1. Default species is HUMAN. Also supports MOUSE. Can add any other genome if in need. 2. Default format is BED. ... -
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NFL Prediction ANN is a I've been working on which predicts the outcomes of NFL games based on pre-game facts such as weather and injuries. The project consists of source code which has a training and testing application written in C++.Uses FAN
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regnann
Reverse Engineering Gene Network using ANN
RegnANN is a method for reverse engineering gene networks based on an ensemble of multilayer perceptrons. The algorithm is a multi-variable regressor (one to many) trained using an input expression matrix to learn the relationships (correlations) among a target gene and all the other genes. The overall network is obtained by joining all the neighborhoods. RegnANN makes no assumptions about the nature of the relationships between the variables, potentially capturing high-order and non linear... -
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An implementation of an artificial neural network (ANN) as an agent to play a 5x5x5 tic-tac-toe game.
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Parallel Reinforcement Evolutionary Artificial Neural Networks (PREANN) is a framework of flexible multi-layer ANN's with reinforcement learning based on genetic algorithms and a parallel implementation (using XMM registers and NVIDIA's CUDA).
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The NICO Toolkit is an Artificial Neural Network (ANN) toolkit designed and optimized for speech technology applications.
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A desktop application that administers a survey to determine eligibility for programs such as Medicaid and Foodstamps. The application was developed for the Tri-Lakes Uninsured Task Force, Saranac Lake, NY by Desmond Sheeran and Ann Morgan.
