Search Results for "model-builder" - Page 33
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Showing 2470 open source projects for "model-builder"
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Amazon SageMaker Operators Kubernetes
Amazon SageMaker operator for Kubernetes
...With native support for bring-your-own-algorithms and frameworks, SageMaker offers flexible distributed training options that adjust to your specific workflows. Deploy a model into a secure and scalable environment by launching it with a few clicks from SageMaker Studio or the SageMaker console. Training and hosting are billed by minutes of usage, with no minimum fees and no upfront commitments. -
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Codeball AI
AI Code Review that finds bugs and fast-tracks your code
...Fully customizable and programmable with GitHub Actions. Codeball Actions are built on multiple smaller building blocks, that are heavily configurable through GitHub Actions. Codeball uses a deep learning model that has been trained on over 1 million Pull Requests. For each contribution, it considers hundreds of inputs. Codeball is optimized for precision, which means it only approves contributions that it's really confident in. -
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EASYBuilderEASYDATACenter
NET4.5 Simple Application Builder + Reporting
Cheap RESTFULL / WEBSocket multiplatform backend Server Cheap NET4.5 Simple Application Builder + Reporting -
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LaMa
LaMa - A Localization and Mapping library
...The main feature is efficiency. Low computational effort and low memory usage whenever possible. The minimum viable computer to run our localization and SLAM solutions is a Raspberry Pi 3 Model B+. We provide a fast scan-matching approach to mobile robot localization supported by a continuous likelihood field. It can be used to provide accurate localization for robots equipped with a laser and a not-so-good odometry. Nevertheless, good odometry is always recommended. -
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Blend_My_NFTs
Easily generate thousands of 3D models, images, and animation NFTs
...Any rendering engine works; Cycles, Eevee, and Octane have all been used by the community. This add-on only works in Blender, a Cinima 4D port is being investigated. Every object, model, texture, camera, light etc. must be in the same .blend file! If you have mulitiple .blend files, Blend_My_NFTs is unable to open and process them. It's recommended to keep your file's total size 5gb. -
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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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Orpheus is an award-winning UI toolkit for Borland Delphi & C++Builder. It contains over 120 components covering everything from data entry to calendars and clocks. Other noteworthy components include an Object Inspector, LookOut bar, & report views.
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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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YOLOV4 Pytorch
This is a source code for YoloV4-pytorch that can be used to train you
YOLOV4 Pytorch is a PyTorch implementation of the YOLOv4 object detection model for training and running custom detection systems. The repository is structured around practical workflows, including training, prediction, evaluation, anchor generation, model configuration, and dataset annotation utilities. It supports VOC-style datasets and includes scripts for prediction, mAP evaluation, FPS testing, video prediction, batch prediction, and heatmap generation. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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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. ... -
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YOLOV3 Pytorch
This is a source code for yolo3-pytorch
YOLOV3 Pytorch is a PyTorch implementation of the YOLOv3 object detection model built for training, prediction, and evaluation. The repository provides a complete workflow for users who want to train their own object detector with VOC-style data or use pretrained weights. It includes utilities for annotation conversion, anchor generation, image prediction, video prediction, batch prediction, FPS measurement, heatmap output, and mAP evaluation. -
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PixelBuilds
Latest Android builds from PixelBoot.
Builds and images, yet to be tested, both stable and unstable from several different custom ROMs, with different changes in source code for further experimentations to fix build bugs and issues. If installing on your own personal device, proceed with caution, and kindly follow instructions given by builder. -
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Fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python
...Tasks store dictionaries and provide helpers for loading/iterating over Datasets, initializing the Model/Criterion and calculating the loss. -
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Flowy
The minimal javascript library to create flowcharts
...The library focuses on simplicity and aesthetics, offering a clean look out of the box that can be customized with your own CSS, making it suitable for dashboards, SaaS products, or internal tools. Events emitted by flowy enable integration with your own data model, so you can sync block positions, connections, and metadata back to a database or application state. It is framework-agnostic, so it can be dropped into vanilla JavaScript projects or wrapped inside React, Vue, or other frameworks. -
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asm68c
Assembles M6800 and 6801 assembly language source code. (and Forth)
A simple absolute mode assembler for 6800/6801. Handles the complete published set of opcodes/mnemonics. Mostly source-language compatible with the common assemblers in use circa 1985, but no macros. Now uses standard LDAA syntax by default. Produces basic S1/S9 object files and assembly listings, and now binary and MC-10 compatible cassette images. (This is for the 8-bit 6800, not the 16/32 bit 68000/coldfire processors.) -
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SageMaker MXNet Inference Toolkit
Toolkit for allowing inference and serving with MXNet in SageMaker
SageMaker MXNet Inference Toolkit is an open-source library for serving MXNet models on Amazon SageMaker. This library provides default pre-processing, predict and postprocessing for certain MXNet model types and utilizes the SageMaker Inference Toolkit for starting up the model server, which is responsible for handling inference requests. AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet. Deep Learning Containers provide optimized environments with TensorFlow and MXNet, Nvidia CUDA (for GPU instances), and Intel MKL (for CPU instances) libraries and are available in the Amazon Elastic Container Registry (Amazon ECR). ... -
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Blankly
Easily build, backtest and deploy your algo in just a few lines
...Blankly is the first framework to enable developers to backtest, paper trade, and go live across exchanges without modifying a single line of trading logic on stocks, crypto, and forex. Every model needs to figure out how to buy and sell. We make it super easy for you so you can focus on building better trading algos. Your models can run on any platform, and on any supported exchange. We make that as easy as just changing one line of code. -
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CCG
CCG (Crud Class Generator) is a ORM tool for .Net
The Crud Class Generator tool was developed for .Net to generate the class, which is an object model of a database table. Thanks to these created classes, many CRUD operations can be performed without writing a SQL query. *CCG is easy to use, because; it is developer-friendly *CCG is practical, because; it allows to make many crud processes without writing SQL query *CCG is fast because; The object size is very small and allowing multiple simultaneous operations to be performed by going to the database only once. ... -
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CoolplaySpark
Spark Cool Play: Spark source code analysis, Spark class library, etc.
...It serves as a companion resource for the book 深入理解Spark核心思想与源码分析 (In-Depth Understanding of Spark’s Core Concepts and Source Code Analysis). The project contains annotated examples, explanations, and exercises that guide learners through Spark’s architecture, execution model, and source code internals. It is particularly valuable for developers who want to strengthen their understanding of Spark by not only using it as a data processing engine but also exploring how its internals function. Through code analysis and commentary, CoolplaySpark helps readers connect theoretical concepts with practical implementation details. ... -
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Real-ESRGAN ncnn Vulkan
NCNN implementation of Real-ESRGAN
...Unlike the standard PyTorch-based Real-ESRGAN code, this variant is written in C/C++ and designed to run efficiently on many platforms (including Windows, Linux, and possibly Android) without requiring heavy frameworks like CUDA or Python. It provides command-line tools for upscaling images with selected models, allowing users to specify input/output paths, scaling factors, tile sizes, and model names from a compressed model set, which is particularly helpful for larger images or automated workflows. The Vulkan backend enables fast execution on GPUs from different vendors (Intel/AMD/Nvidia) with broad support, making it suitable for non-Python environments, production systems, or performance-constrained setups. -
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FlatCC FlatBuffers in C for C
FlatBuffers Compiler and Library in C for C
flatcc has no external dependencies except for build and compiler tools, and the C runtime library. With concurrent Ninja builds, a small client project can build flatcc with libraries, generate schema code, link the project and execute a test case in a few seconds, produce binaries between 15K and 60K, read small buffers in 30ns, build FlatBuffers in about 600ns, and with a larger executable also handle optional json parsing or printing in less than 2 us for a 10 field mixed type message.... -
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Model Search
Framework that implements AutoML algorithms
...The framework logs trials, metrics, and artifacts so you can analyze what the search learned and why certain designs dominate. It’s intended as a platform for method development as much as for model discovery. -
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apl-library
Useful stuff for APL programmers
This collection of APL libraries have been contributed to GNU APL and should be downloaded here: https://gnu.org/software/apl. -
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Provider
InheritedWidgets, but simple
...Because it relies on Flutter’s core mechanisms, it integrates seamlessly with common architectural styles and existing widgets. Many apps use provider as a baseline pattern, and later evolve toward more advanced solutions as complexity grows—without discarding the conceptual model provider introduces. -
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TARS
Markup builder on gulp
...To bypass dependency installation for every TARS project, TARS-CLI was created. As such, TARS is not a npm package by itself. This decision was made so that everyone could comfortably customize the builder for themselves. TARS-CLI is just a simple builder interface, which includes all dependencies for TARS. It is strongly recommended to use TARS-CLI for development.
