Search Results for "deep learning with python"
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Showing 10 open source projects for "deep learning with python"
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Picsart Enterprise Background Removal API for Stunning eCommerce VisualsWith our Remove Background API tool, you can access the transformative capabilities of automation , which will allow you to turn any photo asset into compelling product imagery. With elevated visuals quality on your digital platforms, you can captivate your audience, and therefore achieve higher engagement and sales.
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Gen AI apps are built with MongoDB AtlasMongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
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Wine Runner
A wine and qemu GUI runner to help you install and use easily.
Wine runner is a wine and qemu GUI runner to help you install and use wine easily. Also it can help you install windows easily because virtual machine tools can create virtual machine and run auto. Github: https://github.com/gfdgd-xi/deep-wine-runner/ Telegram: https://t.me/wine_runner 一个能让Linux用户更加方便运行Windows应用的程序，内置了对wine图形化的支持和各种Wine工具和自制Wine程序打包器、运行库安装工具等等。同时也内置了基于VirtualBox制作的小白Windows虚拟机安装工具，可以做到只需要用户下载系统镜像并点击安装即可，无需顾及虚拟机安装、创建、虚拟机的分区等等 Wine 运行器 QQ 交流群：762985460 -
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MLPACK is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and flexibility for expert users. * More info + downloads: https://mlpack.org * Git repo: https://github.com/mlpack/mlpack
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Waydroid Runner
A waydroid gui runner to help you install and config waydroid.
Waydroid Runner is a waydroid gui runner to help you install and config waydroid. Github: https://github.com/gfdgd-xi/deep-wine-runner/ Waydroid运行器是可以通过GUI形式半自动配置Waydroid的工具，使用户使用Waydroid更为方便。Waydroid本身存在很多因AOSP未考虑PC用户而产生的问题(如没有自带Houdini,默认英语,默认非小窗模式)而使用户使用起来非常难受,本运行器支持以GUI形式自动化安装以及配置Waydroid，并会创建快捷控制的快捷方式，可以用于玩游戏/刷视频/Android开发等。 -
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Ubix Linux
The Pocket Datalab
Ubix stands for Universal Business Intelligence Computing System. Ubix Linux is an open-source, Debian-based Linux distribution geared towards data acquisition, transformation, analysis and presentation. Ubix Linux purpose is to offer a tiny but versatile datalab. Ubix Linux is easily accessible, resource-efficient and completely portable on a simple USB key. Ubix Linux is a perfect toolset for learning data analysis and artificial intelligence basics on small to medium datasets. You... -
Get Avast Free Antivirus | Your top-rated shield against malware and online scamsOur antivirus software scans for security and performance issues and helps you to fix them instantly. It also protects you in real time by analyzing unknown files before they reach your desktop PC or laptop — all for free.
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Caffe2
Caffe2 is a lightweight, modular, and scalable deep learning framework
Caffe2 is a lightweight, modular, and scalable deep learning framework. Building on the original Caffe, Caffe2 is designed with expression, speed, and modularity in mind. Caffe2 is a deep learning framework that provides an easy and straightforward way for you to experiment with deep learning and leverage community contributions of new models and algorithms. You can bring your creations to scale using the power of GPUs in the cloud or to the masses on mobile with Caffe2’s cross-platform... -
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Ymap - Yeast Mapping Analysis Pipeline
Pipeline for large-scale genome changes analysis of genome datasets.
... of heterozygosity (LOH) events in Candida albicans, the most common human fungal pathogen, we developed a pipeline for analyzing diverse genome-scale datasets from microarray, deep sequencing, and restriction site associated DNA sequence experiments for clinical and laboratory strains. The YMAP pipeline automatically illustrates genome-wide information in a single intuitive figure and is readily modified for the analysis of other categories of data and other pathogen species with small genomes. -
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CLUE - C Learning Undergrad Environment
Tools to support the learning of the C programming language
CLUE (C Learning Undergraduate Environment) is a software allowing students to work on assignments in the C language while benefiting from support for peer testing, hyper-linked tutorials to help them understand compiler error messages, detection of "novice errors" with warnings hyper-linked to tutorials. Sponsored by National Science Foundation under award CCLI #0836863. -
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A tool kit to cause problems on a Linux machine for the purpose of gaining professional experience trouble-shooting issues in a controlled manner. This kit is useful in learning how to solve problems before they occur on a production system.
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Mnemisis is a tool for learning and using what is called the 'major' system of mnemonic for remembering numbers. It involves /learning/ (sigh) a phonetic system, but after that it's time to start cramming those 20+ digit numbers into your head. Free
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Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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Monk Computer Vision
A low code unified framework for computer vision and deep learning
Monk is an open source low code programming environment to reduce the cognitive load faced by entry level programmers while catering to the needs of Expert Deep Learning engineers. There are three libraries in this opensource set. - Monk Classiciation- https://monkai.org. A Unified wrapper over major deep learning frameworks. Our core focus area is at the intersection of Computer Vision and Deep Learning algorithms. - Monk Object Detection - https://github.com/Tessellate-Imaging...
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