Search Results for "model-builder" - Page 8
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Showing 411 open source projects for "model-builder"
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Transformers4Rec
Transformers4Rec is a flexible and efficient library
...Transformers4Rec makes state-of-the-art transformer architectures available for RecSys researchers and industry practitioners. Traditional recommendation algorithms usually ignore the temporal dynamics and the sequence of interactions when trying to model user behavior. Generally, the next user interaction is related to the sequence of the user's previous choices. In some cases, it might be a repeated purchase or song play. User interests can also suffer from interest drift because preferences can change over time. Those challenges are addressed by the sequential recommendation task. -
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Sonnet
TensorFlow-based neural network library
Sonnet is a neural network library built on top of TensorFlow designed to provide simple, composable abstractions for machine learning research. Sonnet can be used to build neural networks for various purposes, including different types of learning. Sonnet’s programming model revolves around a single concept: modules. These modules can hold references to parameters, other modules and methods that apply some function on the user input. There are a number of predefined modules that already ship with Sonnet, making it quite powerful and yet simple at the same time. Users are also encouraged to build their own modules. ... -
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OpenAI-Java
OpenAI Api Client in Java
OpenAI-Java is the official Java client library provided by OpenAI for interacting with the OpenAI API. It is designed to make it easier for Java applications to call endpoints like chat completions, embeddings, function calling, streaming, and other model services using idiomatic Java patterns. You configure the client (often via environment variables or system properties), then build parameter objects (e.g. ChatCompletionCreateParams) and invoke methods like client.chat().completions().create(...) to send requests in a type-safe way. The library also supports streaming APIs, where the response arrives in chunks, using helpers like ChatCompletionAccumulator to accumulate partial responses into a full object. ... -
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Neural Network Intelligence
AutoML toolkit for automate machine learning lifecycle
Neural Network Intelligence is an open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning. NNI (Neural Network Intelligence) is a lightweight but powerful toolkit to help users automate feature engineering, neural architecture search, hyperparameter tuning and model compression. The tool manages automated machine learning (AutoML) experiments, dispatches and runs experiments' trial jobs generated by tuning algorithms to search the best neural architecture and/or hyper-parameters in different training environments like Local Machine, Remote Servers, OpenPAI, Kubeflow, FrameworkController on K8S (AKS etc.) ... -
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MARRMoT
Modular Assessment of Rainfall-Runoff Models Toolbox
MARRMoT (Modular Assessment of Rainfall-Runoff Models Toolbox) is a MATLAB toolbox designed for hydrological modeling. It allows users to simulate and assess various rainfall-runoff models, providing tools for calibration, sensitivity analysis, and comparison of model performance. -
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Proteus Model Builder
GUI for training of neural network models for GuitarML Proteus
GUI for easier installation and training of neural network models for guitar amplifiers and pedals, based on the GuitarML Proteus models. These are usable for Proteus, Chowdhury-DSP BYOD and even NeuralPi, on all platforms incl. Linux and RaspberryPi. What is this? GuitarML's work on Proteus, NeuralPi and Proteusboard (hardware) is amazing. https://github.com/GuitarML Yet, it is not easy to wrap your head around if you are not familiar with programming, AI, machine learning, neuronal... -
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fastMRI
A large open dataset + tools to speed up MRI scans using ML
...The repository provides an open-source PyTorch framework with data loaders, subsampling utilities, reconstruction models, and evaluation metrics, supporting both research reproducibility and practical experimentation. It includes reference implementations for key MRI reconstruction architectures such as U-Net and Variational Networks (VarNet), along with example scripts for model training and evaluation using the PyTorch Lightning framework. The project also releases several fully anonymized public MRI datasets, including knee, brain, and prostate scans. -
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neural-amp-central
Windows desktop application to manage/train neural network amplifier m
This software manages your neural network amplifier model needs in a graphical user insterface. Installation of plugins for your DAWs, model training software, launching the training apps, etc. etc. NAM and more to come. Fully based on free and open-source software. Portable install for Windows. Keeps away the command line hassle! -
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Cecil
Cecil is a library to inspect, modify and create .NET programs
Cecil is a library to inspect, modify and create .NET programs and libraries. Mono.Cecil is a library to generate and inspect programs and libraries in the ECMA CIL form. Analyze .NET binaries using a simple and powerful object model, without having to load assemblies to use Reflection. Modify .NET binaries, add new metadata structures and alter the IL code. Cecil has been around since 2004 and is widely used in the .NET community. If you're using Cecil, or depend on a framework, project, or product using it, please consider sponsoring Cecil. Cecil 0.10 beta 5 addresses a long standing issue: previously, a rewrite of native pdb files would lose some debugging information, including the list of namespaces that were used in methods (and thus breaking the expression evaluation) or the scopes in generators (for iterators or async methods). -
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MaterialFX
A library of material components for JavaFX
MaterialFX is an open-source Java library that provides material design components for JavaFX. JavaFX is a software platform intended to replace Swing in creating and delivering rich client applications that operate consistently across diverse platforms. With the release of JDK 11 in 2018, Oracle has made JavaFX part of the OpenJDK under the OpenJFX project in order to increase the pace of its development. -
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CSS Refresher Notes
Refresher of CSS concepts
CSS Refresher Notes is a comprehensive set of notes intended to help web developers revisit and solidify their understanding of core and advanced CSS concepts, organized as an approachable reference guide rather than a full textbook. The content spans foundational topics like positioning, display types, selectors, layout techniques, and box model intricacies, to more modern CSS capabilities such as media queries, responsive design principles, transitions, animations, and scalable vector graphics integration. Each section includes clear explanations, code snippets, and insights into common pitfalls, making it especially useful when brushing up on specific CSS mechanisms that are often misunderstood in real-world styling challenges. ... -
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Learning Prompt
Free prompt engineering online course
...It collects examples of effective prompt formats, chains of thought, strategy scaffolds, and comparative methods that help yield consistent, high-quality results. The project also includes meta-guidance: reflections on prompt failures, tips for prompt tuning, ways to mitigate model bias or misinterpretation, and how to adapt prompts for different AI capabilities. Because prompt design is a skill under continuous iteration, the repo encourages contributions of new prompt recipes, evaluations, and domain-specific adaptations. It’s intended for educators, developers, and prompt engineers who want a living toolkit rather than static advice. ... -
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fclLib
fclLib - Fuzzy Control Language Library
fclLib reads FCL files (according to IEC 1131, part 7 draft) to build up a fuzzy model. After calling the model with the input parameters, the fuzzy outputs are calculated according to the model and returned to the user. -
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tabulate
Table Maker for Modern C++
tabulate is a header-only library. Just add include/ to your include_directories and you should be good to go. A single header file version is also available in single_include/. Although word-wrapping is automatic, there is a simple override. Automatic word-wrapping is used only if the cell contents do not have any embedded newline \n characters. So, you can embed newline characters in the cell contents and enforce the word-wrapping manually. tabulate allows for fine control over borders and... -
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Amazon Kinesis Flink Connectors
Contains various Apache Flink connectors to connect to AWS data
...The other Apache Flink APIs are also available for you to use, but they are less commonly used in building streaming applications. The Apache Flink DataStream API programming model is based on two components. -
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Style2Paints
Sketch + style = paints
...Beyond flat fills, the model attempts plausible shading and highlights so the result feels less like a “paint bucket” and more like a finished illustration. Because it’s built for artists rather than only researchers, the project emphasizes an approachable UI, predictable edits, and reproducible outputs across sessions. -
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libgwyfile
Read and write Gwyddion GWY files
Libgwyfile is a small, embeddable library for reading and writing of Gwyddion GWY files as foreign data. This means independently of Gwyddon and without adopting its data object model. -
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Wheefun Options Parsing Library
Portable command line options parsing
This library provides portable command line parsing which can be used across several platforms to provide a consistent command line interface. WFOPT uses the model-view-controller pattern: options are specified via an option set, which are interpreted via a parser object and whose behavior can be modified using controller objects. This library is object-oriented and interaction occurs with it at a high level. Programmers can easily write their own parsers if none of the included parsers fit their tastes, but GNU Getopt-, Sun Microsystems- (ala Java), and DOS/Windows style command parsers are supported out of the box. ... -
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FairScale
PyTorch extensions for high performance and large scale training
FairScale is a collection of PyTorch performance and scaling primitives that pioneered many of the ideas now used for large-model training. It introduced Fully Sharded Data Parallel (FSDP) style techniques that shard model parameters, gradients, and optimizer states across ranks to fit bigger models into the same memory budget. The library also provides pipeline parallelism, activation checkpointing, mixed precision, optimizer state sharding (OSS), and auto-wrapping policies that reduce boilerplate in complex distributed setups. ... -
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AndroidAsync
Asynchronous socket, http(s) (client+server) and websocket library
AndroidAsync is a low-level asynchronous networking library for Android. It provides raw sockets, HTTP and HTTPS client and server functionality, and WebSocket support. The library is based on Java NIO rather than a thread-heavy model, which makes it suitable for event-driven network communication. It is intended for developers who need direct protocol-level control instead of a higher-level request wrapper. The project also serves as the foundation for Ion, the author’s higher-level Android networking and image loading library. AndroidAsync is most useful for Android developers building custom networking layers, servers, streaming behavior, or WebSocket-based features. -
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Tokamak
Framework for building browser apps with WebAssembly
Tokamak is an open source framework that aims to replicate a large portion of Apple’s SwiftUI API in order to enable developers to build user interfaces that can run in the browser through WebAssembly as well as on native platforms. It provides a declarative programming model similar to SwiftUI, allowing developers to define views, state, and layout logic using familiar patterns while targeting environments beyond Apple’s ecosystem. The project includes a DOM renderer capable of handling a subset of SwiftUI views and modifiers, alongside additional constructs such as custom HTML rendering for greater flexibility when interacting with web technologies. ... -
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FastAdapter
The bullet proof, fast and easy to use adapter library
The FastAdapter is here to simplify creating adapters for RecyclerViews. Don't worry about the adapter anymore. Just write the logic for how your view/item should look like, and you are done. It's blazing fast, minimizing the code you need to write, and is easy to extend. -
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Jraph
A Graph Neural Network Library in Jax
...The library includes a comprehensive set of utilities for batching, padding, masking, and partitioning graph data, making it ideal for distributed and large-scale GNN experiments. Jraph also comes with a model zoo—a collection of forkable reference implementations of common message-passing GNN architectures, such as Graph Networks, Graph Convolutional Networks, and Graph Attention Networks. -
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PyTorch Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, etc.
TLlib is an open-source and well-documented library for Transfer Learning. It is based on pure PyTorch with high performance and friendly API. Our code is pythonic, and the design is consistent with torchvision. You can easily develop new algorithms or readily apply existing algorithms. We appreciate all contributions. If you are planning to contribute back bug-fixes, please do so without any further discussion. If you plan to contribute new features, utility functions or extensions, please... -
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Official YOLOv7
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art
YOLOv7 is the official implementation of the paper “YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors.” It is a PyTorch-based object detection project focused on high speed and strong accuracy for real-time computer vision. The repository provides model definitions, training scripts, testing tools, inference examples, pretrained weights, and deployment-oriented materials. YOLOv7 introduced training-time improvements that raise accuracy without increasing inference cost, which is why the project became important in real-time detection research. It supports multiple model sizes and related tasks such as object detection and instance segmentation through associated branches or weights. ...
