Search Results for "google-visualization-python" - Page 66
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Showing 4274 open source projects for "google-visualization-python"
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COVID19 Data Visualization HoloLens2
Experimental COVID-19 data visualization for HoloLens 2
Experimental COVID-19 Data Visualization for HoloLens 2 with MRTK. This project explores how volumetric data can be represented in physical space with direct hand-tracking inputs in mixed reality using HoloLens 2. It is based on Microsoft's MRTK(Microsoft's Mixed Reality Toolkit). DataVisualizer.cs script contains the code for retrieving, parsing JSON data, and visualizing with graphs. -
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Forecasting Best Practices
Time Series Forecasting Best Practices & Examples
...Rather than creating implementations from scratch, we draw from existing state-of-the-art libraries and build additional utilities around processing and featuring the data, optimizing and evaluating models, and scaling up to the cloud. The examples and best practices are provided as Python Jupyter notebooks and R markdown files and a library of utility functions. -
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GoRose ORM
Mini database ORM for golang
GoRose (go orm), a mini database ORM for golang, which was inspired by the famous PHP framework laravel's eloquent. It will be friendly for PHP developers and python or ruby developers. Currently provides six major database drivers: MySQL, sqlite3, Postgres, Oracle, MySQL. GoRose 2.0 adopts a modular architecture, communicates through the API of the interface, and strictly depends on the lower layer. Each module can be disassembled or even customized to your liking. GoRose provides data object binding (map, struct), and supports string table name and map data return. ... -
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ebfformat
An Efficient Binary data Format
EBF, which stands for Efficient Binary Format, is a binary file format for reading and writing binary data easily. Reading writing routines are currently available in C,C++,Fortran,Java, Python, IDL, MATLAB. A program called ebftkpy which has a set of utility functions to work with the .ebf files , e.g., viewing the contents and getting a summary, is also provided. The EBF specification is designed to be concise and easy to understand to make it easier for others to write their own code if needed. It is also designed to simplify the programming of input output routines in different programming languages. ... -
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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... -
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Notoma
Use Notion as your blogging editor, with any static gen blog engine
Use Notion as your blogging editor, with any static gen blog engine. Notoma converts Notion pages to Markdown files. Convert contents of your Notion Blog database to a bunch of Markdown files. Watch Notion Blog database for updates and regenerate Markdown files on any updates. Create a new Notion database for your Blog with all required fields. -
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Higher
higher is a pytorch library
higher is a specialized library designed to extend PyTorch’s capabilities by enabling higher-order differentiation and meta-learning through differentiable optimization loops. It allows developers and researchers to compute gradients through entire optimization processes, which is essential for tasks like meta-learning, hyperparameter optimization, and model adaptation. The library introduces utilities that convert standard torch.nn.Module instances into “stateless” functional forms, so... -
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Tofu
Tofu is a Python tool for generating synthetic UK Biobank data
Tofu is a Python library for generating synthetic UK Biobank data. The UK Biobank is a large open-access prospective research cohort study of 500,000 middle-aged participants recruited in England, Scotland and Wales. The study has collected and continues to collect extensive phenotypic and genotypic detail about its participants, including data from questionnaires, physical measures, sample assays, accelerometry, multimodal imaging, genome-wide genotyping and longitudinal follow-up for a wide range of health-related outcomes. ... -
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Brand new cheatsheets and handouts
Matplotlib 3.1 cheat sheet
The Brand new cheatsheets and handouts repo is a compact, quick-reference summary of the most commonly used plotting commands and configurations in Matplotlib, intended to serve as a handy reference for experienced users who want to recall syntax or find the right function without digging into full documentation. It lays out common use cases (plot types, styling, figure configuration, saving/exporting, subplot layout, etc.) in a concise and organized format — often serving as a “cheat sheet”... -
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AdaNet
Fast and flexible AutoML with learning guarantees
AdaNet is a TensorFlow framework for fast and flexible AutoML with learning guarantees. AdaNet is a lightweight TensorFlow-based framework for automatically learning high-quality models with minimal expert intervention. AdaNet builds on recent AutoML efforts to be fast and flexible while providing learning guarantees. Importantly, AdaNet provides a general framework for not only learning a neural network architecture but also for learning to the ensemble to obtain even better models. At each... -
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Jeffy
Serverless Application Framework for Python AWS Lambda
Jeffy is a Serverless "Application" Framework for Python consisting of a suite of Utilities for Lambda functions that make developing serverless applications easy. There are three main things that Jeffy is focused on: 1. Logging - Jeffy provides easy to see JSON format logging. All events, responses and errors are captured and you can make configurations for any additional attributes you'd like to see on the logs. 2. -
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Tensor2Tensor
Library of deep learning models and datasets
...Tensor2Tensor, or T2T for short, is a library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research. T2T was developed by researchers and engineers in the Google Brain team and a community of users. It is now deprecated, we keep it running and welcome bug-fixes, but encourage users to use the successor library Trax. -
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Keystone Engine
Keystone assembler framework: Core (Arm, Arm64, Hexagon, Mips, etc.)
...All users of Keystone are encouraged to upgrade to v0.9.1. Keystone is now available on PyPi in keystone-engine package. Python 3 users can easily install Keystone. -
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Skicka
Command-line utility for working with Google Drive
skicka is a fast, no-nonsense command-line tool for interacting with Google Drive, designed for developers and power users who want repeatable, scriptable file workflows. It handles uploads, downloads, and synchronization while mapping Drive’s IDs and folder hierarchy into a predictable local view. The utility focuses on resilience and correctness: it tracks checksums, resumable transfers, and modification times so large operations can be paused and resumed safely. -
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0x Monorepo
0x protocol monorepo - includes our smart contracts
...Visit our developer portal for a comprehensive list of core & community-maintained packages. All packages maintained with this monorepo are listed. You will also need to have Python 3 installed, in order to build and run the tests of abi-gen's command-line interface, which is integrated with the yarn build, yarn test, and yarn lint commands described below. More specifically, your local pip should resolve to the Python 3 version of pip, not a Python 2.x version. -
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os-autoinst
OS-level test automation
os-autoinst is a testing framework that enables automated testing of operating systems and applications. It is particularly useful for testing installation processes and system configurations, allowing for comprehensive validation of software behavior in various scenarios. -
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Nearley
Simple, fast, powerful parser toolkit for JavaScript
Nearley is a powerful and flexible parser generator for JavaScript, capable of parsing complex grammars and languages, making it suitable for building compilers, interpreters, and data processors. -
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DETR
End-to-end object detection with transformers
PyTorch training code and pretrained models for DETR (DEtection TRansformer). We replace the full complex hand-crafted object detection pipeline with a Transformer, and match Faster R-CNN with a ResNet-50, obtaining 42 AP on COCO using half the computation power (FLOPs) and the same number of parameters. Inference in 50 lines of PyTorch. What it is. Unlike traditional computer vision techniques, DETR approaches object detection as a direct set prediction problem. It consists of a set-based... -
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LibreGrammar (LanguageTool fork)
Free and open-source style and grammar editor
This is a free and open-source style and grammar checker forked from Languagetool. This project intends to be a full-blown software editor for French, English, German, Spanish, Portuguese and many other languages that enhances LanguageTool with extended rules — with emphasis on style rules —, and enables many rules disabled by default on LanguageTool project. Other changes include lower reliance on online mechanisms and extra languages. --- Este é um verificador de gramática e... -
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nginx ui
Nginx UI allows you to access and modify the nginx configurations
We use nginx in our company lab environment. It often happens that my colleagues have developed an application that is now deployed in our Stage or Prod environment. To make this application accessible nginx has to be adapted. Most of the time my colleagues don't have permission to access the server and change the configuration files and since I don't feel like doing this for everyone anymore I thought a UI could help us all. If you feel the same way I wish you a lot of fun with the... -
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SageMaker Containers
Create SageMaker-compatible Docker containers
Amazon SageMaker is a fully managed service for data science and machine learning (ML) workflows. You can use Amazon SageMaker to simplify the process of building, training, and deploying ML models. To train a model, you can include your training script and dependencies in a Docker container that runs your training code. A container provides an effectively isolated environment, ensuring a consistent runtime and reliable training process. The SageMaker Training Toolkit can be easily added to... -
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Albedo
A recommender system for discovering GitHub repos
Albedo is an open-source recommender system aimed at helping developers discover GitHub repositories by learning from activity signals. It treats repositories and developers as a graph of interactions and applies large-scale matrix factorization to model affinities, with Apache Spark providing the distributed data processing. The project focuses on implicit feedback—stars, watches, and other engagement metrics—so it can build useful recommendations without explicit ratings. A reproducible... -
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PyText
A natural language modeling framework based on PyTorch
PyText is a deep-learning based NLP modeling framework built on PyTorch. PyText addresses the often-conflicting requirements of enabling rapid experimentation and of serving models at scale. It achieves this by providing simple and extensible interfaces and abstractions for model components, and by using PyTorch’s capabilities of exporting models for inference via the optimized Caffe2 execution engine. We use PyText at Facebook to iterate quickly on new modeling ideas and then seamlessly... -
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Alfred-Workflow
Full-featured library for writing Alfred 3 & 4 workflows
Alfred-Workflow is a Python helper library for Alfred 2, 3 and 4 workflow authors, developed and hosted on GitHub. Alfred workflows typically take user input, fetch data from the Web or elsewhere, filter them and display results to the user. Alfred-Workflow takes care of a lot of the details for you, allowing you to concentrate your efforts on your workflow’s functionality. -
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TACO is a toolkit for building distributed control systems or any other distributed system. It is based on a C/C++ core. It is based on the client-server model. It supports writing clients and server on Unix+Windows. Clients and servers can be written in
