Search Results for "computer performance"
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Showing 25 open source projects for "computer performance"
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YOLOv5
YOLOv5 is the world's most loved vision AI
Introducing Ultralytics YOLOv8, the latest version of the acclaimed real-time object detection and image segmentation model. YOLOv8 is built on cutting-edge advancements in deep learning and computer vision, offering unparalleled performance in terms of speed and accuracy. Its streamlined design makes it suitable for various applications and easily adaptable to different hardware platforms, from edge devices to cloud APIs. Explore the YOLOv8 Docs, a comprehensive resource designed to help you... -
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MESHROOM
3D reconstruction software
Photogrammetry is the science of making measurements from photographs. It infers the geometry of a scene from a set of unordered photographies or videos. Photography is the projection of a 3D scene onto a 2D plane, losing depth information. The goal of photogrammetry is to reverse this process. The dense modeling of the scene is the result yielded by chaining two computer vision-based pipelines, “Structure-from-Motion” (SfM) and “Multi View Stereo” (MVS). Fusion of Multi-bracketing LDR images... -
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Gradio
Create UIs for your machine learning model in Python in 3 minutes
... them interact with the model on your computer remotely from their own devices. Once you've created an interface, you can permanently host it on Hugging Face. Hugging Face Spaces will host the interface on its servers and provide you with a link you can share. One of the best ways to share your machine learning model, API, or data science workflow with others is to create an interactive demo that allows your users or colleagues to try out the demo in their browsers. -
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Albumentations
Fast image augmentation library and an easy-to-use wrapper
Albumentations is a computer vision tool that boosts the performance of deep convolutional neural networks. Albumentations is a Python library for fast and flexible image augmentations. Albumentations efficiently implements a rich variety of image transform operations that are optimized for performance, and does so while providing a concise, yet powerful image augmentation interface for different computer vision tasks, including object classification, segmentation, and detection. Albumentations... -
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Colossal-AI
Making large AI models cheaper, faster and more accessible
The Transformer architecture has improved the performance of deep learning models in domains such as Computer Vision and Natural Language Processing. Together with better performance come larger model sizes. This imposes challenges to the memory wall of the current accelerator hardware such as GPU. It is never ideal to train large models such as Vision Transformer, BERT, and GPT on a single GPU or a single machine. There is an urgent demand to train models in a distributed environment. However... -
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FiftyOne
The open-source tool for building high-quality datasets
The open-source tool for building high-quality datasets and computer vision models. Nothing hinders the success of machine learning systems more than poor-quality data. And without the right tools, improving a model can be time-consuming and inefficient. FiftyOne supercharges your machine learning workflows by enabling you to visualize datasets and interpret models faster and more effectively. Improving data quality and understanding your model’s failure modes are the most impactful ways... -
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SWE-agent
SWE-agent takes a GitHub issue and tries to automatically fix it
SWE-agent turns LMs (e.g. GPT-4) into software engineering agents that can resolve issues in real GitHub repositories. On the SWE-bench, the SWE-agent resolves 12.47% of issues, achieving state-of-the-art performance on the full test set. We accomplish our results by designing simple LM-centric commands and feedback formats to make it easier for the LM to browse the repository, and view, edit, and execute code files. We call this an Agent-Computer Interface (ACI). -
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SDGym
Benchmarking synthetic data generation methods
The Synthetic Data Gym (SDGym) is a benchmarking framework for modeling and generating synthetic data. Measure performance and memory usage across different synthetic data modeling techniques – classical statistics, deep learning and more! The SDGym library integrates with the Synthetic Data Vault ecosystem. You can use any of its synthesizers, datasets or metrics for benchmarking. You also customize the process to include your own work. Select any of the publicly available datasets from... -
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Encord Active
The toolkit to test, validate, and evaluate your models and surface
Encord Active is an open-source toolkit to test, validate, and evaluate your models and surface, curate, and prioritize the most valuable data for labeling to supercharge model performance. Encord Active has been designed as a all-in-one open source toolkit for improving your data quality and model performance. Use the intuitive UI to explore your data or access all the functionalities programmatically. Discover errors, outliers, and edge-cases within your data - all in one open source toolkit... -
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fastai
Deep learning library
fastai is a deep learning library which provides practitioners with high-level components that can quickly and easily provide state-of-the-art results in standard deep learning domains, and provides researchers with low-level components that can be mixed and matched to build new approaches. It aims to do both things without substantial compromises in ease of use, flexibility, or performance. This is possible thanks to a carefully layered architecture, which expresses common underlying patterns... -
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Chinese-LLaMA-Alpaca 2
Chinese LLaMA-2 & Alpaca-2 Large Model Phase II Project
... of Chinese. Performance improvements. The related model supports FlashAttention-2 training, supports 4K context and can be extended up to 18K+ through the NTK method. -
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Covalent workflow
Pythonic tool for running machine-learning/high performance workflows
Covalent is a Pythonic workflow tool for computational scientists, AI/ML software engineers, and anyone who needs to run experiments on limited or expensive computing resources including quantum computers, HPC clusters, GPU arrays, and cloud services. Covalent enables a researcher to run computation tasks on an advanced hardware platform – such as a quantum computer or serverless HPC cluster – using a single line of code. Covalent overcomes computational and operational challenges inherent... -
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ProjectQ
An open source software framework for quantum computing
ProjectQ is an open-source effort for quantum computing. It features a compilation framework capable of targeting various types of hardware, a high-performance quantum computer simulator with emulation capabilities, and various compiler plug-ins. -
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TexGen is a geometric textile modelling software package to be used for obtaining engineering properties of woven textiles and textile composites. Citing TexGen We would be grateful if you could acknowledge use of TexGen where appropriate and suggest using one of the following references: L P Brown and A C Long. "Modelling the geometry of textile reinforcements for composites: TexGen", Chapter 8 in "Composite reinforcements for optimum performance (Second Edition)", ed. P Boisse...
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DirectXDiagnostic Tool Opener
Open DirectXDiagnostic Tool without any commands
Comprehensive Hardware Analysis, Monitoring and Reporting for Windows. Exhausting information about hardware components displayed in hierarchy unfolding into deep details. Useful for obtaining a detailed hardware inventory report or checking of various hardware-related parameters. Real-time monitoring of a variety of system and hardware parameters covering CPUs, GPUs, mainboards, drives, peripherals, etc. Useful for detection of overheating, overload, performance loss or failure prediction... -
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pipeless
A computer vision framework to create and deploy apps in minutes
Pipeless is an open-source computer vision framework to create and deploy applications without the complexity of building and maintaining multimedia pipelines. It ships everything you need to create and deploy efficient computer vision applications that work in real-time in just minutes. Pipeless is inspired by modern serverless technologies. It provides the development experience of serverless frameworks applied to computer vision. You provide some functions that are executed for new video... -
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PaddleGAN
PaddlePaddle GAN library, including lots of interesting applications
PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on. PaddleGAN provides developers with high-performance implementation of classic and SOTA Generative Adversarial Networks, and supports developers to quickly build, train and deploy GANs for academic, entertainment, and industrial usage. GAN-Generative Adversarial Network, was praised by "the Father... -
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Pretty Damn Quick (PDQ) analytically solves queueing network models of computer and manufacturing systems, data networks, etc., written in conventional programming languages. Generic or customized reports of predicted performance measures are output.
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elFinder is a file manager for web similar to that you use on your computer. Written in JavaScript using jQuery UI, it just work's in any modern browser. Its creation is inspired by simplicity and convenience of Finder.app program used in Mac OS X.
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C++QED
A framework for simulating open quantum dynamics
...++QEDv2 specifies a small grammar to describe composite quantum systems. Apart from providing a number of elements out of the box, there are tools which facilitate the implementation of new elements. These are being added continuously, as the need arises. The principal concept of the design of C++QEDv2 is that all information available at compile time should be processed as such, with the help of TMP. The framework is very sensitive to performance both in computer resources and coding/design. -
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Micrometer CNC 4 Raspberry Pi3
A debian image with linux RT kernel, OpenCV345, ROS, and LinuxCNC
This OS is a configured version of Raspbian (debian OS) that focuses on 3D printing, CNC controllers, and CAD/CAM applications. It includes many tweaks to get the GPU acceleration on webGL, VLC and Flash video for example. Since rc2, we now use F2FS for /home to improve sdcard performance. It was load tested on the pi2, pi3, and Pi3B+. It is based on a stripped down MATE desktop, and is intended to be shared along with the documented hardware projects. Please use the GPG key posted on the home... -
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FAST Simulations
An Open source Analysis and SImulation Toolbox for Fuel Cells
... and developer, David B. Harvey. Features of FAST-fc include transport of gases and liquids, multi-step reaction kinetics, transient and steady state operation for performance and durability, and scalable dimensionality from 1D - 3D domains. Future development work is on-going in FAST-fc and our strategic development schedule includes membrane degradation, improved liquid water transport models through the application of pore networks, and extension to stack-level simulation. -
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Assignment Collector/Grader
A webapp that collects and grades student labs
Assignment Collector/Grader (what a mouthful!) was conceived in 2010 as a way to reduce the workload of an over-worked professor teaching a CS data structures class. It proved not only to reduce the grading workload, but also improved the lab completion rates among students, and grades overall improved as a result. Since it has turned out to be such a successful tool, it is now released under the AGPL license for others to use in their classrooms. Planned improvements include: automatic... -
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This is a software tool that automates the process of benchmarking high performance computer clusters by auto analyzing the hardware of the cluster and configuring and compiling specialized benchmarks (HPC Challenge, IOzone, Netperf)
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The C Protein Folding Library is a minimalistic, high-performance modular library of C functions and data structures for computing folding simulations of proteins on a wide variety of computer hardware.
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