Search Results for "model-builder" - Page 6
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Showing 409 open source projects for "model-builder"
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Stock prediction deep neural learning
Predicting stock prices using a TensorFlow LSTM
Predicting stock prices can be a challenging task as it often does not follow any specific pattern. However, deep neural learning can be used to identify patterns through machine learning. One of the most effective techniques for series forecasting is using LSTM (long short-term memory) networks, which are a type of recurrent neural network (RNN) capable of remembering information over a long period of time. This makes them extremely useful for predicting stock prices. Predicting stock... -
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Easy Random
The simple, stupid random Java beans/records generator
...This method is able to generate a random instance of any arbitrary Java bean. Populating a Java object with random data can look easy at first glance, unless your domain model involves many related classes. -
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Casbin
An authorization library that supports access control models
An authorization library that supports access control models like ACL, RBAC, ABAC for Golang, Java, C/C++, Node.js, Javascript, PHP, Laravel, Python, .NET (C#), Delphi, Rust, Ruby, Swift (Objective-C), Lua (OpenResty), Dart (Flutter) and Elixir. In Casbin, an access control model is abstracted into a CONF file based on the PERM metamodel (Policy, Effect, Request, Matchers). So switching or upgrading the authorization mechanism for a project is just as simple as modifying a configuration. Besides memory and file, Casbin policy can be stored into lots of places. Currently, dozens of databases are supported, from MySQL, Postgres, Oracle to MongoDB, Redis, Cassandra, AWS S3. ... -
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bleve
A modern text indexing library for go
Import one package, build an index with three lines of code, query for documents with another three lines. Bleve includes general-purpose analyzers as well as pre-built text analyzers for the following languages, Danish, Dutch, English, Finnish, French, German, Hungarian, Italian, Norwegian, Persian, Portuguese, Romanian, Russian, Sorani, Spanish, Swedish, Thai, and Turkish. Support for aggregating facet information across search results. Supported facet types include Terms Facet, Numeric... -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Files
A nicer way to handle files & folders in Swift
Files is a lightweight Swift library that provides a more expressive and user-friendly interface for working with files and directories compared to the native FileManager API. It abstracts common file system operations into an object-oriented model, enabling developers to interact with files and folders using intuitive constructs such as Folder and File types. The library simplifies tasks like reading, writing, moving, renaming, and deleting files while maintaining robust error handling through Swift’s try-catch mechanisms. It also supports recursive traversal of directory structures, making it easy to iterate through file trees for scripting or automation purposes. ... -
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ReUI
Design-forward shadcn kit for interfaces that stand out
ReUI is a design-forward component library built for the shadcn/ui ecosystem, offering a large-scale collection of production-ready UI components and layouts intended to accelerate modern React and Next.js development. Unlike traditional UI libraries that focus on isolated components, ReUI emphasizes real-world usage by presenting components within complete dashboard layouts and application flows, making it easier for developers to understand how pieces fit together in practical scenarios.... -
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ChineseBQB
Chinese sticker pack, more joy/museum of emoticon
ChineseBQB is an openly shared repository of Chinese-style stickers and memes, essentially a “meme pack / sticker museum” — curated and maintained to collect, categorize, and make accessible a large collection of expressive GIFs and images often used in chats. The repository organizes stickers contributed by many people, and uses a Node.js build script to automatically generate an index of all images, so that users can browse the entire gallery online. The goal is cultural and social: making... -
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Best-websites-a-programmer-should-visit
Some useful websites for programmers
...It also surfaces non-code essentials like productivity, writing, and career guidance, acknowledging that strong developers need more than syntax. The simple Markdown format makes it easy to browse, mirror, or fork, and the open contribution model keeps the list evolving as the ecosystem changes. -
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Flax
Flax is a neural network library for JAX
...Its design separates pure computation from state by threading parameter collections and RNGs explicitly, enabling reproducibility, transformation, and easy experimentation with JAX transforms like jit, pmap, and vmap. Modules define parameterized computations, but initialization and application remain side-effect free, which pairs naturally with JAX’s staging and compilation model. Flax emphasizes composability: optimizers, training loops, and checkpointing are provided as examples or utilities rather than monolithic frameworks, encouraging research-friendly customization. The library is widely used in vision, language, and reinforcement learning, often serving as a thin layer atop NumPy-like JAX primitives. ... -
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Lettuce
Advanced Java Redis client for thread-safe sync, async, etc.
...Low-latency communication, backpressure-enabled network engine for NIO TCP, epoll TCP and Unix Domain Sockets. Reactive Streaming is fully supported. Lettuce comes with an API that gets you started quickly. Its simple yet powerful programming model allows you for trivial use-cases as well as for chained asynchronous flows. Redis Standalone, Master/Slave, Redis Sentinel and Redis Cluster. Lettuce connects with all operational models natively supported by Redis. Partition-tolerance, Read Slaves and Transport-Level-Security provide the required foundation for highly scalable applications. -
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Avalanche
End-to-End Library for Continual Learning based on PyTorch
...This module maintains a uniform API for data handling: mostly generating a stream of data from one or more datasets. It contains all the major CL benchmarks (similar to what has been done for torchvision). Provides all the necessary utilities concerning model training. This includes simple and efficient ways of implementing new continual learning strategies as well as a set of pre-implemented CL baselines and state-of-the-art algorithms you will be able to use for comparison! Avalanche the first experiment of an End-to-end Library for reproducible continual learning research & development where you can find benchmarks, algorithms, etc. -
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mlpack
mlpack: a scalable C++ machine learning library
mlpack is an intuitive, fast, and flexible C++ machine learning library with bindings to other languages. It is meant to be a machine learning analog to LAPACK, and aims to implement a wide array of machine learning methods and functions as a "swiss army knife" for machine learning researchers. In addition to its powerful C++ interface, mlpack also provides command-line programs, Python bindings, Julia bindings, Go bindings and R bindings. Written in C++ and built on the Armadillo linear... -
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Pedestal
The Pedestal Server-side Libraries
...There are a lot of tools in that space, so why did we build Pedestal? We had two main reasons. Pedestal is designed for APIs first. Most web app frameworks still focus on the "page model" and server-side rendering. Pedestal lets you start simple and add that if you need it. Pedestal makes it easy to create "live" applications. Applications must respond with immediate feedback even while some back-end communication goes on. Pedestal makes it easy to deliver server-sent events and asynchronous updates. Pedestal works with a huge variety of containers and deployment options. ... -
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Covalent
Teradata UI Platform built on Angular Material
Reusable tested tools to build robust Angular Material & Angular applications. Vision: To build an atomic, reusable component platform for Teradata to consume, while collaborating in an open-source model. Covalent is a reusable UI platform from Teradata for building web applications with common standards and tooling. It is based on Angular and Material Design. Visualize your data easily. ECharts is an extensive "tried and true" charting library brought to Angular as Covalent Charts. td-chart-x-axis and td-chart-y-axis elements generate an axis inside a td-chart. ... -
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Libros de Programación en Español
List of programming books in Spanish for free
Libros de Programación en Español is a curated list of free programming books in Spanish, organized by topic and technology so learners can find high-quality materials without cost. The README is structured as an index with general programming books, followed by sections for specific languages such as JavaScript, TypeScript, Python, Ruby, Rust, PHP, Haskell, Go, Kotlin, Java, and R.Each entry includes the book title, author, and a link to the official or legal free version (PDF, HTML, eBook,... -
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Schema.DTS
JSON-LD TypeScript types for Schema vocabulary
The project provides a comprehensive set of TypeScript typings based on the Schema vocabulary, enabling developers to author JSON-LD structured data with strong type safety. It supplies both high-level discriminated unions and helper types to model contexts, graphs, and linked data relationships with clarity and accuracy. Usage examples demonstrate how one can import types like Person, WithContext, or Graph and compose JSON-LD objects in a way that aligns with semantic-web and knowledge-graph practices. The repository also contains a generator tool that can pull ontology definitions and emit TypeScript definitions in bulk, ensuring the typings stay up to date and maintain consistency. ... -
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FlashMLA
FlashMLA: Efficient Multi-head Latent Attention Kernels
FlashMLA is a high-performance decoding kernel library designed especially for Multi-Head Latent Attention (MLA) workloads, targeting NVIDIA Hopper GPU architectures. It provides optimized kernels for MLA decoding, including support for variable-length sequences, helping reduce latency and increase throughput in model inference systems using that attention style. The library supports both BF16 and FP16 data types, and includes a paged KV cache implementation with a block size of 64 to efficiently manage memory during decoding. On very compute-bound settings, it can reach up to ~660 TFLOPS on H800 SXM5 hardware, while in memory-bound configurations it can push memory throughput to ~3000 GB/s. ... -
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Scalaz
Principled Functional Programming in Scala
...It implements classic abstractions such as Functor, Applicative, Monad, Monoid, Foldable, and Traverse, along with powerful transformers (ReaderT, StateT, WriterT, OptionT, and more) to structure effects. The library offers rich data structures—\/ (disjunction), Validation, NonEmptyList, IList, and Free—that help model errors, invariants, and interpretable programs. Its type class–oriented design lets you write generic algorithms over capabilities rather than concrete types, improving reuse and testability. Scalaz also contributes optics, equality/ordering abstractions, and lawful instances with property-based tests to ensure algebraic laws hold. ... -
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PennyLane
A cross-platform Python library for differentiable programming
...Support for hybrid quantum and classical models, and compatible with existing machine learning libraries. Quantum circuits can be set up to interface with either NumPy, PyTorch, JAX, or TensorFlow, allowing hybrid CPU-GPU-QPU computations. The same quantum circuit model can be run on different devices. Install plugins to run your computational circuits on more devices, including Strawberry Fields, Amazon Braket, Qiskit and IBM Q, Google Cirq, Rigetti Forest, and the Microsoft QDK. -
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Gen.jl
A general-purpose probabilistic programming system
...Gen features an easy-to-use modeling language for writing down generative models, inference models, variational families, and proposal distributions using ordinary code. But it also lets users migrate parts of their model or inference algorithm to specialized modeling languages for which it can generate especially fast code. Users can also hand-code parts of their models that demand better performance. Neural network inference is fast, but can be inaccurate on out-of-distribution data, and requires expensive training. -
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DCV Color Primitives
DCV Color Primitives Library
DCV Color Primitives is a library to perform image color model conversion. Aware of the underlying hardware and supplemental cpu extension sets (up to avx2). Support data coming from a single buffer or coming from multiple image planes. Support non-tightly packed data. Support images greater than 4GB (64 bit). Convert an image from bgra to nv12 (single plane) format containing yuv in BT601. -
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Metro 4
Impressive component library for expressive web development
Create your site quickly and effectively with Metro 4. Metro 4 is a free open-source impressive components library built on html, css, javascript. Using Metro 4 is very easy, you don't even need to know javascript to make fully functional websites that interact with the user. Metro 4 is an open source project. You can access to full source code on the GitHub and get Metro 4 with free license. Metro 4 is accessible in various ways. You can get Metro 4 from NPM, Nuget, GitHub, and GitLab.... -
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DGL
Python package built to ease deep learning on graph
...DGL empowers a variety of domain-specific projects including DGL-KE for learning large-scale knowledge graph embeddings, DGL-LifeSci for bioinformatics and cheminformatics, and many others. We are keen to bringing graphs closer to deep learning researchers. We want to make it easy to implement graph neural networks model family. We also want to make the combination of graph based modules and tensor based modules (PyTorch or MXNet) as smooth as possible. DGL provides a powerful graph object that can reside on either CPU or GPU. It bundles structural data as well as features for a better control. We provide a variety of functions for computing with graph objects including efficient and customizable message passing primitives for Graph Neural Networks. -
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VulkanSceneGraph
Vulkan & C++17 based Scene Graph Project
VulkanSceneGraph (VSG), is a modern, cross-platform, high-performance scene graph library built upon Vulkan graphics/compute API. The software is written in C++17 and follows the CppCoreGuidelines and FOSS Best Practices. The source code is published under the MIT License, with the exception of vulkan.h, used for Vulkan extensions, which is under Apache License 2.0. This repository contains C++ headers and source and CMake build scripts to build the libvsg library. Additional support... -
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Lightly
A python library for self-supervised learning on images
...Our solution can be applied before any data annotation step and the learned representations can be used to visualize and analyze datasets. This allows selecting the best core set of samples for model training through advanced filtering. We provide PyTorch, PyTorch Lightning and PyTorch Lightning distributed examples for each of the models to kickstart your project. Lightly requires Python 3.6+ but we recommend using Python 3.7+. We recommend installing Lightly in a Linux or OSX environment. With lightly, you can use the latest self-supervised learning methods in a modular way using the full power of PyTorch. ...
