Search Results for "model-builder"
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Showing 22 open source projects for "model-builder"
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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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goenv
Like pyenv and rbenv, but for Go
goenv aims to be as simple as possible and follow the already established successful version management model of pyenv and rbenv. This project was cloned from pyenv and modified for Go. goenv does let you change the global Go version on a per-user basis. Provide support for per-project Go versions. Allow you to override the Go version with an environment variable. Search commands from multiple versions of Go at a time. At a high level, goenv intercepts Go commands using shim executables injected into your PATH, determines which Go version has been specified by your application, and passes your commands along to the correct Go installation. ... -
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RLax
Library of JAX-based building blocks for reinforcement learning agents
...Rather than implementing full algorithms, RLax focuses on the core functional operations that underpin RL methods—such as computing value functions, returns, policy gradients, and loss terms—allowing researchers to flexibly assemble their own agents. It supports both on-policy and off-policy learning, as well as value-based, policy-based, and model-based approaches. RLax is fully JIT-compilable with JAX, enabling high-performance execution across CPU, GPU, and TPU backends. The library implements tools for Bellman equations, return distributions, general value functions, and policy optimization in both continuous and discrete action spaces. It integrates seamlessly with DeepMind’s Haiku (for neural network definition) and Optax (for optimization), making it a key component in modular RL pipelines. -
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Public Image Mirror
Many images are hosted overseas, such as GCR
...The system is simple to use, requiring only a prefix replacement to pull images from the mirror instead of the original registry. By reducing latency and improving reliability, the service supports developers in accelerating Kubernetes, Docker, Containerd, and AI model image downloads in production environments. -
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Gobi
A batch package builder for applications
Gobi for shell is a batch package builder for applications, it builds a self-install package of your programs. Creates a stand alone executable file that performs the (secured installation and removing) of the elements necessary to distribute your applications. The software offers many possibilities, such as executing commands before and after installation. This is the shell+Gtk version of the Gobisoft software with the same features... -
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Gobisoft
Software auto-installation builder
Gobisoft is a batch package builder for applications, it builds a self-install package of your programs. Creates a stand alone executable file that performs the (secured installation and removing) of the elements necessary to distribute your applications. The software offers many possibilities, such as executing commands before and after installation. -
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SVoice (Speech Voice Separation)
We provide a PyTorch implementation of the paper Voice Separation
...This project presents a deep learning framework capable of separating mixed audio sequences where several people speak simultaneously, without prior knowledge of how many speakers are present. The model employs gated neural networks with recurrent processing blocks that disentangle voices over multiple computational steps, while maintaining speaker consistency across output channels. Separate models are trained for different speaker counts, and the largest-capacity model dynamically determines the actual number of speakers in a mixture. ... -
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Consistent Depth
We estimate dense, flicker-free, geometrically consistent depth
...The system builds upon traditional structure-from-motion (SfM) techniques to provide geometric constraints while integrating a convolutional neural network trained for single-image depth estimation. During inference, the model fine-tunes itself to align with the geometric constraints of a specific input video, ensuring stable and realistic depth maps even in less-constrained regions. This approach achieves improved geometric consistency and visual stability compared to prior monocular reconstruction methods. The project can process challenging hand-held video footage, including those with moderate dynamic motion, making it practical for real-world usage. -
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I3D models trained on Kinetics
Convolutional neural network model for video classification
Kinetics-I3D, developed by Google DeepMind, provides trained models and implementation code for the Inflated 3D ConvNet (I3D) architecture introduced in the paper “Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset” (CVPR 2017). The I3D model extends the 2D convolutional structure of Inception-v1 into 3D, allowing it to capture spatial and temporal information from videos for action recognition. This repository includes pretrained I3D models on the Kinetics dataset, with both RGB and optical flow input streams. The models have achieved state-of-the-art results on benchmark datasets such as UCF101 and HMDB51, and also won first place in the CVPR 2017 Charades Challenge. ... -
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git-flow (AVH Edition)
AVH Edition of the git extensions to provide high-level repository ops
A collection of Git extensions to provide high-level repository operations for Vincent Driessen's branching model. This fork adds functionality not added to the original branch. For those who use the Bash or ZSH shell, you can use my fork of git-flow-completion which includes several additions for git-flow (AVH Edition), or you can use the original git-flow-completion project by bobthecow. Both offer tab-completion for git-flow subcommands and branch names with my fork including tab-completion for the commands not found in the original git-flow. ... -
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Gin Config
Gin provides a lightweight configuration framework for Python
Gin Config is a lightweight and flexible configuration framework for Python built around dependency injection. It enables developers to manage complex parameter hierarchies—particularly common in machine learning experiments—without relying on boilerplate configuration classes or protos. By decorating functions and classes with @gin.configurable, Gin allows their parameters to be overridden using simple configuration files (.gin) or command-line bindings. Users can define default parameter... -
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builder
Easily build software for your Linux distro repo
...Profiles can be found at: http://repo.cliquesoft.org/vanilla/1.1/builder/ [TC|XiniX] -
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abumpack
Fortran library with the Abaqus user material subroutines UMAT/VUMAT
...Linear elastic, isotropic hardening plasticity, Gurson-Tvergaard-Needleman (GTN), Rousselier constitutive models are provided. Quote this code as: A. Shterenlikht, N. A. Alexander, Levenberg-Marquardt vs Powell's dogleg method for Gurson-Tvergaard-Needleman plasticity model, Computer Methods in Applied Mechanics and Engineering 237-240:1-9 (2012). DOI: http://dx.doi.org/10.1016/j.cma.2012.04.018 -
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PrettyTensor
Pretty Tensor: Fluent Networks in TensorFlow
...It also allows easy integration with custom operations and third-party libraries, making it ideal for both research experimentation and production-grade modeling. By combining TensorFlow’s power with an intuitive builder-style API, Pretty Tensor accelerates model development without sacrificing transparency or control. -
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optpack
FE simulation based automatic global optimisation in modern Fortran
A collection of Fortran 2003, 90 and 77 routines, modules and programs for automatic simulation based global constrained optimisation. The initial application is for FE simulation of elasto-plastic buckling of steel rods aimed at tuning the hardening model. Unix shell scripts are used extensively. High concurrency is achieved with parallel multi-start global search and with parallel MPI FE. Powell's BOBYQA or LINCOA are used (not included in this package). Automatic mesh generation of 3D cylinders is provided + automatic boundary conditions, all via Fortran and shell scripting. -
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SCA Diagrammer
Service Component Architecture Diagram Generator
Large BPEL or SOA applications may have many components and relationships that can be difficult to understand. This project generates diagrams for applications based on the Service Component Architecture (SCA) model. This has primarily been tested with Oracle Fusion Middleware 11g applications but should work with other BPEL or SOA frameworks. -
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What's ? Tux2live is a toolkit to build your Linux live environment from what you installed in hard disk and it's easy to customize and configure. Official web site: [En] http://tux2live.sourceforge.net/ [zh_TW] http://tux.nchc.org.tw/trac/tux2live
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gfsi is a installation program for Linux and other unix-like systems. it includes a builder (GFSBuilder), an installer (gfsi) and an "uninstaller" (gfsi-remove). The only component that is currently working is GFSBuilder.
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ucmi (Unified Change Management Interface) provides an abstraction layer, in the style of the Unified Change Management model, to version control tools and defect tracking systems.
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XEmacs is a highly customizable text editor and application development system. Its emphasis is on modern graphical user interface support and an open software development model.
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Package builder is tool helps to download, build and manage open source packages from any source managment system.
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PROTON
High-level python framework that facilitates rapid server-side develop
...Thanks for checking it out! PROTON aims at easing server-side development for all Python enthusiasts. Essentially, by running a shell command, developer will auto generate necessary Model, Controller and APIs! All of this with connectivity to Transactional Databases (PROTON supports Postgresql, MySQL & SQL Server),caching (Redis middleware), Auto generated OpenAPI specs & descriptive logging! One command, to get a production ready server-side stack!
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