Search Results for "graphs" - Page 4
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Showing 1130 open source projects for "graphs"
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Jenesis Agency Management System is purpose-built to help insurance agents seamlessly manage existing clients, market to potential prospects, improve business efficiency, and manage sales. Easy to use and affordable, Jenesis Agency Management System offers a variety of features that include automated logins, ACORD forms, carrier downloads, credit card integration, quote control, receipts and payments, InstaCheck, and more. By leveraging Jenesis Agency Management System, you can maximize your time and grow your revenue stream.
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PaddlePaddle
PArallel Distributed Deep LEarning: Machine Learning Framework
... and static graphs. -
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LangGraph
Build resilient language agents as graphs
LangGraph is a library for building stateful, multi-actor applications with LLMs, used to create agent and multi-agent workflows. Compared to other LLM frameworks, it offers these core benefits: cycles, controllability, and persistence. LangGraph allows you to define flows that involve cycles, essential for most agentic architectures, differentiating it from DAG-based solutions. As a very low-level framework, it provides fine-grained control over both the flow and state of your application,... -
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cognee
Deterministic LLMs Outputs for AI Applications and AI Agents
We build for developers who need a reliable, production-ready data layer for AI applications. Cognee implements scalable, modular data pipelines that allow for creating the LLM-enriched data layer using graph and vector stores. Cognee acts a semantic memory layer, unveiling hidden connections within your data and infusing it with your company's language and principles. This self-optimizing process ensures ultra-relevant, personalized, and contextually aware LLM retrievals. Any kind of data... -
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frugally-deep
A lightweight header-only library for using Keras (TensorFlow) models
Use Keras models in C++ with ease. A lightweight header-only library for using Keras (TensorFlow) models in C++. Works out-of-the-box also when compiled into a 32-bit executable. (Of course, 64 bit is fine too.) Avoids temporarily allocating (potentially large chunks of) additional RAM during convolutions (by not materializing the im2col input matrix). Utterly ignores even the most powerful GPU in your system and uses only one CPU core per prediction. Quite fast on one CPU core, and you can... -
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DeepFlow
Application Observability using eBPF
... in any language and infrastructures including gateways, service meshes, databases, message queues, DNS, and NICs, leaving no blind spots. Full-stack network performance metrics and file I/O events are automatically collected for each Span. Distributed tracing enters a new era, Zero Instrumentation. DeepFlow collects profiling data at a cost of below 1% with Zero Code, plots OnCPU/OffCPU function call stack flame graphs, and locates Full Stack performance bottleneck in the application. -
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Catalyst.jl
Chemical reaction network and systems biology interface
Catalyst.jl is a symbolic modeling package for analysis and high-performance simulation of chemical reaction networks. Catalyst defines symbolic ReactionSystems, which can be created programmatically or easily specified using Catalyst's domain-specific language (DSL). Leveraging ModelingToolkit and Symbolics.jl, Catalyst enables large-scale simulations through auto-vectorization and parallelism. Symbolic ReactionSystems can be used to generate ModelingToolkit-based models, allowing the easy... -
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jsoniter-scala
Scala macros for compile-time generation of safe and ultra-fast JSON
Scala macros for compile-time generation of safe and ultra-fast JSON codecs. This library had started from macros that reused jsoniter (json-iterator) for Java reader and writer but then the library evolved to have its own core of mechanics for parsing and serialization. The idea to generate codecs by Scala macros and main details was borrowed from Kryo Macros and adapted for the needs of the JSON domain. Validate parsed values safely with the fail-fast approach and clear reporting, provide... -
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PandasAI
PandasAI is a Python library that integrates generative AI
PandasAI is a Python library that adds Generative AI capabilities to pandas, the popular data analysis and manipulation tool. It is designed to be used in conjunction with pandas, and is not a replacement for it. PandasAI makes pandas (and all the most used data analyst libraries) conversational, allowing you to ask questions to your data in natural language. For example, you can ask PandasAI to find all the rows in a DataFrame where the value of a column is greater than 5, and it will... -
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go-wkhtmltopdf
Golang commandline wrapper for wkhtmltopdf
We needed a way to generate PDF documents from Go. These vary from invoices with highly customizable layouts to reports with tables, graphs and images. In our opinion, the best way to do this was by using HTML/CSS templates as a source for our PDFs. Using CSS print media types and millimeters instead of pixel units we can generate very accurate PDF documents using wkhtmltopdf. It takes care of setting the correct order of options as these can become very long with multiple pages where you have... -
Rierino Commerce platform is a smart headless backend for high-growth commerce designed to support infinite flexibility & scale. With various modules such as product information management (PIM), pricing & promos, search, content (CMS), and journey management, it has a highly extensible structure allowing users to easily add or customize modules through simple configurations.
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Vald
Vald. A Highly Scalable Distributed Vector Search Engine
... indexing, which causes stop-the-world. But Vald uses distributed index graphs so it continues to work during indexing. Vald implements it's own highly customizable Ingress/Egress filter. Which can be configured to fit the gRPC interface. Horizontal scalable on memory and cpu for your demand. Vald supports to auto backup feature using Object Storage or Persistent Volume which enables disaster recovery. -
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OPTUNA
A hyperparameter optimization framework
Optuna is an automatic hyperparameter optimization software framework, particularly designed for machine learning. It features an imperative, define-by-run style user API. Thanks to our define-by-run API, the code written with Optuna enjoys high modularity, and the user of Optuna can dynamically construct the search spaces for the hyperparameters. Optuna Dashboard is a real-time web dashboard for Optuna. You can check the optimization history, hyperparameter importances, etc. in graphs... -
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Knet
Koç University deep learning framework
Knet.jl is a deep learning package implemented in Julia, so you should be able to run it on any machine that can run Julia. It has been extensively tested on Linux machines with NVIDIA GPUs and CUDA libraries, and it has been reported to work on OSX and Windows. If you would like to try it on your own computer, please follow the instructions on Installation. If you would like to try working with a GPU and do not have access to one, take a look at Using Amazon AWS or Using Microsoft Azure. If... -
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DALI
A GPU-accelerated library containing highly optimized building blocks
The NVIDIA Data Loading Library (DALI) is a library for data loading and pre-processing to accelerate deep learning applications. It provides a collection of highly optimized building blocks for loading and processing image, video and audio data. It can be used as a portable drop-in replacement for built-in data loaders and data iterators in popular deep learning frameworks. Deep learning applications require complex, multi-stage data processing pipelines that include loading, decoding,... -
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IndraDB
A graph database written in rust
A graph database written in rust. IndraDB consists of a server and an underlying library. Most users would use the server, which is available via releases as pre-compiled binaries. But if you're a rust developer that wants to embed a graph database directly in your application, you can use the library. IndraDB's original design is heavily inspired by TAO, facebook's graph datastore. In particular, IndraDB emphasizes simplicity of implementation and query semantics, and is similarly designed... -
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SageMaker Spark Container
Docker image used to run data processing workloads
Apache Spark™ is a unified analytics engine for large-scale data processing. It provides high-level APIs in Scala, Java, Python, and R, and an optimized engine that supports general computation graphs for data analysis. It also supports a rich set of higher-level tools including Spark SQL for SQL and DataFrames, MLlib for machine learning, GraphX for graph processing, and Structured Streaming for stream processing. The SageMaker Spark Container is a Docker image used to run batch data... -
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Charts.css
Open source CSS framework for data visualization
Charts.css is a modern CSS framework. It uses CSS utility classes to style HTML elements as charts. No dependencies. 72kb file size. Less than 6kb gzipped file size! Visualization helps end-users understand data. Charts.css help frontend developers turn data into beautiful charts and graphs using simple CSS classes. The data is structured using semantic HTML tags and styled using CSS classes which change the visual representation displayed to the end-user. The framework offers developers... -
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Loop Habit Tracker
Mobile app for creating and maintaining long-term positive habits
Loop is a mobile app that helps you create and maintain good habits, allowing you to achieve your long-term goals. Detailed graphs and statistics show you how your habits improved over time. It is completely ad-free and open source. Beautiful, minimalistic and lightweight interface. Loop has an elegant and minimalistic interface that is very easy to use, even for first-time users. Highly optimized for speed, the app works well even on older phones. Habit score. Loop has an advanced formula... -
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SuperCollider
Audio server, programming language, and IDE for sound synthesis
SuperCollider is a platform for audio synthesis and algorithmic composition, used by musicians, artists, and researchers working with sound. It is free and open source software available for Windows, macOS, and Linux. scsynth, a real-time audio server, forms the core of the platform. It features 400+ unit generators (“UGens”) for analysis, synthesis, and processing. Its granularity allows the fluid combination of many known and unknown audio techniques, moving between additive and... -
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OrientDB
DBMS supporting graph, document, full-text and geospatial models
OrientDB is an Open Source Multi-Model NoSQL DBMS with the support of Native Graphs, Documents, Full-Text search, Reactivity, Geo-Spatial and Object Oriented concepts. It's written in Java and it's amazingly fast. No expensive run-time JOINs, connections are managed as persistent pointers between records. You can traverse thousands of records in no time. Supports schema-less, schema-full and schema-mixed modes. Has a strong security profiling system based on user, roles and predicate security... -
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Victory
React components for building interactive data visualizations
Victory is a set of modular charting components for React and React Native. Victory makes it easy to get started without sacrificing flexibility. Create one of a kind data visualizations with fully customizable styles and behaviors. Victory uses the same API for web and React Native applications for easy cross-platform charting. Victory is used for charting across the web, from publicly-consumed informational graphs to internal tracking and reporting. Victory is an opinionated, but fully... -
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Boolean-Cayley-graphs
Investigations of Boolean functions, their Cayley graphs, and associat
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A set of SWT customdraw widgets to represent, view, manipulate and interage with data using a Graphical User Interface. The SWT Graph project is a collection of custom-draw canvas developed to solve some user interface aspects when you need to represent advanced data interactively. The entire project is based on the idea of layers. With a LayeredCanvas, you can update some regions without affecting others. You can cache some parts of your component without redrawing it every...
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PyTorch Geometric Temporal
Spatiotemporal Signal Processing with Neural Machine Learning Models
The library consists of various dynamic and temporal geometric deep learning, embedding, and Spatio-temporal regression methods from a variety of published research papers. Moreover, it comes with an easy-to-use dataset loader, train-test splitter and temporal snaphot iterator for dynamic and temporal graphs. The framework naturally provides GPU support. It also comes with a number of benchmark datasets from the epidemiological forecasting, sharing economy, energy production and web traffic... -
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EliasDB
EliasDB a graph-based database
EliasDB is a graph-based database that aims to provide a lightweight solution for projects which want to store their data as a graph. Build on top of a custom key-value store that supports transactions and memory-only storage. Data is stored in nodes (key-value objects) which are connected via edges. Stored graphs can be separated via partitions. Stored graphs support cascading deletions - delete one node and all its "children". All stored data is indexed and can be quickly searched via a full... -
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Chainer
A flexible deep learning framework
Chainer is a Python-based deep learning framework. It provides automatic differentiation APIs based on dynamic computational graphs as well as high-level APIs for neural networks.