Showing 3597 open source projects for "google-visualization-python"

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  • 1
    Flax

    Flax

    Flax is a neural network library for JAX

    Flax is a flexible neural-network library for JAX that embraces functional programming while offering ergonomic module abstractions. Its design separates pure computation from state by threading parameter collections and RNGs explicitly, enabling reproducibility, transformation, and easy experimentation with JAX transforms like jit, pmap, and vmap. Modules define parameterized computations, but initialization and application remain side-effect free, which pairs naturally with JAX’s staging...
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  • 2
    Synthetic Data Kit

    Synthetic Data Kit

    Tool for generating high quality Synthetic datasets

    Synthetic Data Kit is a CLI-centric toolkit for generating high-quality synthetic datasets to fine-tune Llama models, with an emphasis on producing reasoning traces and QA pairs that line up with modern instruction-tuning formats. It ships an opinionated, modular workflow that covers ingesting heterogeneous sources (documents, transcripts), prompting models to create labeled examples, and exporting to fine-tuning schemas with minimal glue code. The kit’s design goal is to shorten the “data...
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  • 3
    DomainBed

    DomainBed

    DomainBed is a suite to test domain generalization algorithms

    DomainBed is a PyTorch-based research suite created by Facebook Research for benchmarking and evaluating domain generalization algorithms. It provides a unified framework for comparing methods that aim to train models capable of performing well across unseen domains, as introduced in the paper In Search of Lost Domain Generalization. The library includes a wide range of well-known domain generalization algorithms, from classical baselines such as Empirical Risk Minimization (ERM) and...
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  • 4
    Multimodal

    Multimodal

    TorchMultimodal is a PyTorch library

    This project, also known as TorchMultimodal, is a PyTorch library for building, training, and experimenting with multimodal, multi-task models at scale. The library provides modular building blocks such as encoders, fusion modules, loss functions, and transformations that support combining modalities (vision, text, audio, etc.) in unified architectures. It includes a collection of ready model classes—like ALBEF, CLIP, BLIP-2, COCA, FLAVA, MDETR, and Omnivore—that serve as reference...
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  • 5
    Theseus

    Theseus

    A library for differentiable nonlinear optimization

    Theseus is a library for differentiable nonlinear optimization that lets you embed solvers like Gauss-Newton or Levenberg–Marquardt inside PyTorch models. Problems are expressed as factor graphs with variables on manifolds (e.g., SE(3), SO(3)), so classical robotics and vision tasks—bundle adjustment, pose graph optimization, hand–eye calibration—can be written succinctly and solved efficiently. Because solves are differentiable, you can backpropagate through optimization to learn cost...
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  • 6
    Prompt Engineering Interactive Tutorial

    Prompt Engineering Interactive Tutorial

    Anthropic's Interactive Prompt Engineering Tutorial

    Prompt-eng-interactive-tutorial is a comprehensive, hands-on tutorial that teaches the craft of prompt engineering with Claude through guided, executable lessons. It starts with the anatomy of a good prompt and moves into techniques that deliver the “80/20” gains—separating instructions from data, specifying schemas, and setting evaluation criteria. The course leans heavily on realistic failure modes (ambiguity, hallucination, brittle instructions) and shows how to iteratively debug prompts...
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  • 7
    Courses (Anthropic)

    Courses (Anthropic)

    Anthropic's educational courses

    Anthropic’s courses repository is a growing collection of self-paced learning materials that teach practical AI skills using Claude and the Anthropic API. It’s organized as a sequence of hands-on courses—starting with API fundamentals and prompt engineering—so learners build capability step by step rather than in isolation. Each course mixes short readings with runnable notebooks and exercises, guiding you through concepts like model parameters, streaming, multimodal prompts, structured...
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  • 8
    DeepEP

    DeepEP

    DeepEP: an efficient expert-parallel communication library

    DeepEP is a communication library designed specifically to support Mixture-of-Experts (MoE) and expert parallelism (EP) deployments. Its core role is to implement high-throughput, low-latency all-to-all GPU communication kernels, which handle the dispatching of tokens to different experts (or shards) and then combining expert outputs back into the main data flow. Because MoE architectures require routing inputs to different experts, communication overhead can become a bottleneck — DeepEP...
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  • 9
    Prompt Declaration Language

    Prompt Declaration Language

    Prompt Declaration Language is a declarative prompt programming lang

    LLMs will continue to change the way we build software systems. They are not only useful as coding assistants, providing snipets of code, explanations, and code transformations, but they can also help replace components that could only previously be achieved with rule-based systems. Whether LLMs are used as coding assistants or software components, reliability remains an important concern. LLMs have a textual interface and the structure of useful prompts is not captured formally. Programming...
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  • 10
    Platypus

    Platypus

    Create native Mac applications from command line scripts

    Platypus is a developer tool that creates native Mac applications from command line scripts such as shell scripts or Python, Perl, Ruby, Tcl, JavaScript, and PHP programs. This is done by wrapping the script in an application bundle along with a slim app binary that runs the script. Platypus makes it easy to share scripts and programs with people who are unfamiliar with the command line interface. Native, user-friendly applications can be created with a few clicks.
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  • 11
    Siddhi Core Libraries

    Siddhi Core Libraries

    Stream Processing and Complex Event Processing Engine

    ...Agile development experience with SQL-like query language and graphical drag-and-drop editor supporting event simulation. Lightweight runtime that can natively run on Kubernetes, Docker, VM, or bare metal, and embedded in any Java or Python application. Scalable, and highly available distributed event processing on Kubernetes, with NATS Streaming and Siddhi Kubernetes Operator.
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  • 12
    Graphtage

    Graphtage

    A semantic diff utility and library for tree-like files such as JSON

    Graphtage is a command-line utility and underlying library for semantically comparing and merging tree-like structures, such as JSON, XML, HTML, YAML, plist, and CSS files. Its name is a portmanteau of “graph” and “graftage”, the latter being the horticultural practice of joining two trees together such that they grow as one. Graphtage performs an analysis on an intermediate representation of the trees that is divorced from the filetypes of the input files. This means, for example, that you...
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  • 13
    Gretel Synthetics

    Gretel Synthetics

    Synthetic data generators for structured and unstructured text

    Unlock unlimited possibilities with synthetic data. Share, create, and augment data with cutting-edge generative AI. Generate unlimited data in minutes with synthetic data delivered as-a-service. Synthesize data that are as good or better than your original dataset, and maintain relationships and statistical insights. Customize privacy settings so that data is always safe while remaining useful for downstream workflows. Ensure data accuracy and privacy confidently with expert-grade reports....
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  • 14
    tccutil.py

    tccutil.py

    Command line tool to modify OS X's accessibility database (TCC.db)

    Apple has a utility in /usr/bin named tccutil, but it only supports one command, which is to reset the entire database. It has been like this for many versions of macOS. I wanted a command-line utility that would be able to add, remove, list, and take other actions. This tool needs SIP disabled in order to function. The risk of doing so is up to you. tccutil.py can be installed without any additional software. Depending how you have your $PATH variable setup, you can simply type tccutil...
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  • 15
    Status - a Mobile Ethereum OS

    Status - a Mobile Ethereum OS

    A free (libre) open source, mobile OS for Ethereum

    Status is a secure messaging app, crypto wallet, and Web3 browser built with state-of-the-art technology. Integrated into one powerful super app for private secure communication. Safely send, store and receive cryptocurrencies including ERC20 and ERC721 tokens with the Status crypto wallet. Only you hold the keys to your funds. Status' intuitive design protects you and your funds from attacks. Status uses an open-source, peer-to-peer protocol, and end-to-end encryption to protect your...
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  • 16
    SublimeLinter-eslint

    SublimeLinter-eslint

    This linter plugin for SublimeLinter provides an interface to ESLint

    This linter plugin for SublimeLinter provides an interface to ESLint. It will be used with "JavaScript" files, but since eslint is pluggable, it can actually lint a variety of other files as well. SublimeLinter will detect some installed local plugins, and thus it should work automatically for e.g. .vue or .ts files. If it works on the command line, there is a chance it works in Sublime without further ado. Make sure the plugins are installed locally colocated to eslint itself. T.i.,...
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  • 17
    django-split-settings

    django-split-settings

    Organize Django settings into multiple files and directories

    Organize Django settings into multiple files and directories. Easily override and modify settings. Use wildcards in settings file paths and mark settings files as optional. Managing Django’s settings might be tricky. There are severals issues which are encountered by any Django developer along the way. First one is caused by the default project structure. Django clearly offers us a single settings.py file. It seams reasonable at the first glance. And it is actually easy to use just after the...
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  • 18
    Django Material

    Django Material

    Material Design for Django

    ...Viewflow is the library that offers an additional layer of django web framework, allows explicitly specify people's workflow and extracts collaboration logic from django views. Strong python/html code separation. Easy redefinition of particular fields rendering. Complex form layout support. Frontend - Quick starter template for modular admin-line applications development. To checkout and run open source demo version locally, you need to have git and tox tools installed.
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  • 19
    Deepchecks

    Deepchecks

    Test Suites for validating ML models & data

    Deepchecks is the leading tool for testing and for validating your machine learning models and data, and it enables doing so with minimal effort. Deepchecks accompany you through various validation and testing needs such as verifying your data’s integrity, inspecting its distributions, validating data splits, evaluating your model and comparing between different models. While you’re in the research phase, and want to validate your data, find potential methodological problems, and/or validate...
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  • 20
    AWS Toolkit for JetBrains

    AWS Toolkit for JetBrains

    A plugin for interacting with AWS from JetBrains IDEs

    ...Supports Java, Python, Node.js, and .NET Core.
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  • 21
    Ansible Molecule

    Ansible Molecule

    Molecule aids in the development and testing of Ansible roles

    Molecule project is designed to aid in the development and testing of Ansible roles. Molecule provides support for testing with multiple instances, operating systems and distributions, virtualization providers, test frameworks and testing scenarios. Molecule encourages an approach that results in consistently developed roles that are well-written, easily understood and maintained. Molecule supports only the latest two major versions of Ansible (N/N-1), meaning that if the latest version is...
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  • 22
    FATE

    FATE

    An industrial grade federated learning framework

    FATE (Federated AI Technology Enabler) is the world's first industrial grade federated learning open source framework to enable enterprises and institutions to collaborate on data while protecting data security and privacy. It implements secure computation protocols based on homomorphic encryption and multi-party computation (MPC). Supporting various federated learning scenarios, FATE now provides a host of federated learning algorithms, including logistic regression, tree-based algorithms,...
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  • 23
    TensorFlow Model Garden

    TensorFlow Model Garden

    Models and examples built with TensorFlow

    The TensorFlow Model Garden is a repository with a number of different implementations of state-of-the-art (SOTA) models and modeling solutions for TensorFlow users. We aim to demonstrate the best practices for modeling so that TensorFlow users can take full advantage of TensorFlow for their research and product development. To improve the transparency and reproducibility of our models, training logs on TensorBoard.dev are also provided for models to the extent possible though not all models...
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  • 24
    tsfresh

    tsfresh

    Automatic extraction of relevant features from time series

    tsfresh is a python package. It automatically calculates a large number of time series characteristics, the so called features. tsfresh is used to to extract characteristics from time series. Without tsfresh, you would have to calculate all characteristics by hand. With tsfresh this process is automated and all your features can be calculated automatically.
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  • 25
    Spring Boot Admin

    Spring Boot Admin

    Admin UI for administration of spring boot applications

    ...The applications register with our Spring Boot Admin Client (via HTTP) or are discovered using Spring Cloud (e.g. Eureka, Consul). The UI is just a Vue.js application on top of the Spring Boot Actuator endpoints. Support for Python applications is available using Pyctuator. First, you need to setup your server. To do this just setup a simple boot project (using start.spring.io). As Spring Boot Admin Server is capable of running as servlet or webflux application, you need to decide on this and add the according Spring Boot Starter. Monitoring Python applications is available using Pyctuator. ...
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