Showing 279 open source projects for "point"

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  • 1
    ArkID

    ArkID

    Enterprise IDaaS/IAM platform system

    Rich plug-in, quickly builds an exclusive IDaaS/IAM platform. Easy integration into all your applications. Unified identity, certification, and authority management system. Extendable bottom application architecture based on Plug-in interpolation. You can flexibly and quickly add new functions to the main program without changing the main program. Achieve centralized and safe storage of corporate organizational structure and identity information of massive personnel. Establish a...
    Downloads: 0 This Week
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  • 2
    FormaVid

    FormaVid

    Small Business Appliance

    The FormaVid Small Business Appliance https://formavid.org is designed to integrate a content management system (CMS), an issues tracker and an invoicing application into a single, well constructed, offering. It is an excellent starting point for any developer(s) wishing to support the CMS or any of the other components, including the appliance itself. All components are stable, open source and well supported. The appliance is built using scripts so no hidden "monkey business" and you can choose a "compatible base distro" based on your needs: familiarity; performance; security; usability; etc. ...
    Downloads: 1 This Week
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  • 3
    pyntcloud

    pyntcloud

    pyntcloud is a Python library for working with 3D point clouds

    This page will introduce the general concept of point clouds and illustrate the capabilities of pyntcloud as a point cloud processing tool. Point clouds are one of the most relevant entities for representing three dimensional data these days, along with polygonal meshes (which are just a special case of point clouds with connectivity graph attached). In its simplest form, a point cloud is a set of points in a cartesian coordinate system.
    Downloads: 2 This Week
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  • 4
    Whisper Library

    Whisper Library

    Whisper is a file-based time-series database format for Graphite

    ...Whisper is a fixed-size database, similar in design and purpose to RRD (round-robin-database). It provides fast, reliable storage of numeric data over time. Whisper allows for higher resolution (seconds per point) of recent data to degrade into lower resolutions for long-term retention of historical data. Copies data from src in dst, if missing. Unlike whisper-merge, don't overwrite data that's already present in the target file, but instead, only add the missing data (e.g. where the gaps in the target file are). Because no values are overwritten, no data or precision gets lost. ...
    Downloads: 0 This Week
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  • 5
    m2cgen

    m2cgen

    Transform ML models into a native code

    ...You can try to cast your input data to another type manually and check results again. Also, some small differences can happen due to specific implementation of floating-point arithmetic in a target language.
    Downloads: 0 This Week
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  • 6
    Nameko

    Nameko

    Python framework for building microservices

    ...Nameko is compatible with almost any protocol, transport or database. Simply use the built-in extensions, build your own or leverage the community. Nameko includes an implementation of RPC over AMQP. It comprises the @rpc entry point, a proxy for services to talk to other services, and a standalone proxy that non-Nameko clients can use to make RPC calls to a cluster. The HTTP entry point is built on top of werkzeug, and supports all the standard HTTP methods (GET/POST/DELETE/PUT etc).
    Downloads: 0 This Week
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  • 7
    Mycroft

    Mycroft

    Mycroft Core, the Mycroft Artificial Intelligence platform

    ...Our software runs on many platforms, on desktop, our reference hardware, a Raspberry Pi, or your own custom hardware. Our open-source, modular system can be ported to your device or environment, at any price point. Whether you make voice-assistants, televisions, or microwaves. Whether you have a 5-room BnB or a 1000-room hotel. Your customers will get access to all the necessities of a voice assistant. Our software and essential services are free (as in freedom) and also gratis (at no cost to you or them). And especially not at the cost of their (or your) privacy! ...
    Downloads: 22 This Week
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  • 8
    igel

    igel

    Machine learning tool that allows you to train and test models

    ...I sometimes needed a tool sometimes, which I could use to fast create a machine learning prototype. Whether to build some proof of concept, create a fast draft model to prove a point or use auto ML. I find myself often stuck writing boilerplate code and thinking too much about where to start. Therefore, I decided to create this tool. igel is built on top of other ML frameworks. It provides a simple way to use machine learning without writing a single line of code. Igel is highly customizable, but only if you want to. ...
    Downloads: 0 This Week
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  • 9
    Vimplus

    Vimplus

    An automatic configuration program for vim

    ...However, because it includes many plugins and opinionated mappings, some users feel it’s heavier than a minimal Vim setup and may require unlearning some defaults. For developers who want a “just work” Vim setup for C/C++, Python, JavaScript, etc., vimplus is a very strong starting point.
    Downloads: 0 This Week
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  • 10
    Tez

    Tez

    Tez is a super-simple and lightweight Trainer for PyTorch

    ...It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch. tez (तेज़ / تیز) means sharp, fast & active. This is a simple, to-the-point, library to make your PyTorch training easy. This library is in early-stage currently! So, there might be breaking changes. Currently, tez supports cpu, single gpu and multi-gpu & tpu training. More coming soon! Using tez is super-easy. We don't want you to be far away from pytorch. So, you do everything on your own and just use tez to make a few things simpler.
    Downloads: 0 This Week
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  • 11
    Store Management System

    Store Management System

    system which works as electronic notebook for keeping records...

    Visit our site given below for the LATEST UPDATE and guide for use of store management system on https://tmotagam.github.io/ Shop management system which works as electronic notebook it keeps data about sales and also of products it has Point of sale backups and inventory system WHAT`S NEW: Added New Icon We have launched new project FTPT for sharing your files with your teams using ftp go check it out LINK https://sourceforge.net/projects/ftpt/ We have launched new project Tahafacex for attendance systems using face recognition technology. A great and easy to use interface, can be used in any environment from business to schools to colleges go check it out LINK https://sourceforge.net/projects/tahafacex/
    Downloads: 1 This Week
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  • 12
    Pytorch Points 3D

    Pytorch Points 3D

    Pytorch framework for doing deep learning on point clouds

    Torch Points 3D is a framework for developing and testing common deep learning models to solve tasks related to unstructured 3D spatial data i.e. Point Clouds. The framework currently integrates some of the best-published architectures and it integrates the most common public datasets for ease of reproducibility. It heavily relies on Pytorch Geometric and Facebook Hydra library thanks for the great work! We aim to build a tool that can be used for benchmarking SOTA models, while also allowing practitioners to efficiently pursue research into point cloud analysis, with the end goal of building models which can be applied to real-life applications. ...
    Downloads: 1 This Week
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  • 13
    Objectron

    Objectron

    A dataset of short, object-centric video clips

    The Objectron dataset is a collection of short, object-centric video clips, which are accompanied by AR session metadata that includes camera poses, sparse point-clouds and characterization of the planar surfaces in the surrounding environment. In each video, the camera moves around the object, capturing it from different angles. The data also contain manually annotated 3D bounding boxes for each object, which describe the object’s position, orientation, and dimensions. The dataset consists of 15K annotated video clips supplemented with over 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes. ...
    Downloads: 0 This Week
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  • 14
    KeexyBox

    KeexyBox

    The box to keep the Internet under your control

    KeexyBox allows you to do parental control, block ads, limit telemetry, and browse the Internet anonymously from your home network without installing any software on your devices. It also can be used to create a public wireless access point with the captive portal. It is a software program which requires a Raspberry PI box and which is installed on Raspbian. It constitutes a cut-off point between your devices (computers, tablets, smartphones, etc.) and your router or Internet box. KeexyBox acts as a default gateway and DNS server for the devices in your home network. ...
    Downloads: 1 This Week
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  • 15
    Image GPT

    Image GPT

    Large-scale autoregressive pixel model for image generation by OpenAI

    ...Researchers can use the code to sample new images, evaluate generative loss on datasets like ImageNet or CIFAR-10, and explore the impact of scaling on performance. While the repository is archived and provided as-is, it remains a valuable starting point for experimenting with autoregressive transformers applied directly to raw pixel data. By demonstrating GPT’s flexibility across modalities, Image-GPT influenced subsequent multimodal generative research.
    Downloads: 7 This Week
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  • 16
    Jupytab

    Jupytab

    Display in Tableau data from Jupyter notebooks

    Jupytab allows you to explore in Tableau data which is generated dynamically by a Jupyter Notebook. You can thus create Tableau data sources in a very flexible way using all the power of Python. This is achieved by having Tableau access data through a web server created by Jupytab.
    Downloads: 0 This Week
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  • 17
    Top Deep Learning Projects

    Top Deep Learning Projects

    A list of popular github projects related to deep learning

    TopDeepLearning is a curated index of the most popular GitHub projects related to deep learning, ranked by their star count. Rather than being a library itself, it serves as a curated roadmap and reference guide for anyone exploring the deep learning ecosystem — from beginners to experienced practitioners. By aggregating high-star projects across frameworks (TensorFlow, PyTorch), tools (computer vision, NLP, reinforcement learning), tutorials, and research code, it helps users quickly...
    Downloads: 0 This Week
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  • 18
    SageMaker Containers

    SageMaker Containers

    Create SageMaker-compatible Docker containers

    ...The SageMaker Training Toolkit can be easily added to any Docker container, making it compatible with SageMaker for training models. If you use a prebuilt SageMaker Docker image for training, this library may already be included. Very often, an entry point needs additional information from the container that is not available in hyperparameters. SageMaker Containers writes this information as environment variables that are available inside the script.
    Downloads: 0 This Week
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  • 19
    KimPeptid

    KimPeptid

    Analyzes Peptides Properties (Python 3 version)

    Analyzes Peptides Properties (Python 3 version). For more information, you can have a look at the README.md file in the source code tree: https://sourceforge.net/p/lp-csic-uab/kimpeptid3/code/ci/default/tree/README.md
    Downloads: 0 This Week
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  • 20
    VoteNet

    VoteNet

    Deep Hough Voting for 3D Object Detection in Point Clouds

    VoteNet is a 3D object detection framework for point clouds that combines deep point set networks with a Hough voting mechanism to localize and classify objects in 3D space. It tackles the challenge that object centroids in 3D scenes often don’t lie on any input surface point by having each point “vote” for potential object centers; these votes are then clustered to propose object hypotheses.
    Downloads: 0 This Week
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  • 21
    TensorNets

    TensorNets

    High level network definitions with pre-trained weights in TensorFlow

    ...TensorNets can be easily plugged together because it is designed as simple functional interfaces without custom classes. Manageability. Models are written in tf.contrib.layers, which is lightweight like PyTorch and Keras, and allows for ease of accessibility to every weight and end-point. Also, it is easy to deploy and expand a collection of pre-processing and pre-trained weights. Readability. With recent TensorFlow APIs, more factoring and less indenting can be possible. For example, all the inception variants are implemented as about 500 lines of code in TensorNets while 2000+ lines in official TensorFlow models. ...
    Downloads: 0 This Week
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  • 22
    CTOSC

    CTOSC

    Tools for processing solar cell characterization data (Rsh,ECV,QSSPC)

    CTOSC stands for 'Characterization Toolbox for Solar Cells' and contains a few functionalities to process solar cell data: sheet resistance mapping, making ECV data graphs, QSSPC lifetime data graphs and showing/averaging PL/EL images. For ECV/Rsh/QSSPC data the program currently supports output files from the Sunlab Sherescan four-point probe (.txt), the WEP Wafer Profiler CVP21 (.csv) and Sinton WCT-120 (.txt).
    Downloads: 0 This Week
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  • 23
    Snips NLU

    Snips NLU

    Snips Python library to extract meaning from text

    ...It’s the library that powers the NLU engine used in the Snips Console that you can use to create awesome and private-by-design voice assistants. The exact output is a bit richer, the point here is to give a glimpse on what kind of information can be extracted. Behind every chatbot and voice assistant lies a common piece of technology: Natural Language Understanding (NLU). Anytime a user interacts with an AI using natural language, their words need to be translated into a machine-readable description of what they meant. ...
    Downloads: 0 This Week
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  • 24
    Torchreid

    Torchreid

    Deep learning person re-identification in PyTorch

    ...In "deep-person-reid/scripts/", we provide a unified interface to train and test a model. See "scripts/main.py" and "scripts/default_config.py" for more details. The folder "configs/" contains some predefined configs which you can use as a starting point. The code will automatically (download and) load the ImageNet pretrained weights. After the training is done, the model will be saved as "log/osnet_x1_0_market1501_softmax_cosinelr/model.pth.tar-250". Under the same folder, you can find the tensorboard file. Different from the same-domain setting, here we replace random_erase with color_jitter. ...
    Downloads: 0 This Week
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  • 25
    ZeroNet

    ZeroNet

    Decentralized websites using Bitcoin crypto and BitTorrent network

    ...Your content distributed directly to other visitors without any central server. Uncensored: It's nowhere because it's everywhere! No hosting costs: Sites are served by visitors. Always accessible: No single point of failure. No configuration needed: Download, unpack and start using it. Decentralized domains using Namecoin cryptocurrency. Your account is protected by the same cryptography as your Bitcoin wallet. Page response time is not limited by your connection speed. Real-time updated, multi-user websites. Supports any modern browser on Windows, Linux or Mac platforms. ...
    Downloads: 3 This Week
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