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  • 1
    PackageDev

    PackageDev

    Tools to ease the creation of snippets, syntax definitions, etc.

    PackageDev provides syntax highlighting and other helpful utility for Sublime Text resource files. Resource files are ways of configuring the Sublime Text text editor to various extends, including but not limited to: custom syntax definitions, context menus (and the main menu), and key bindings. Thus, this package is ideal for package developers, but even normal users of Sublime Text who want to configure it to their liking should find it very useful.
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  • 2
    HTTPie CLI

    HTTPie CLI

    Modern, user-friendly command-line HTTP client for the API era

    HTTPie (pronounced aitch-tee-tee-pie) is a command-line HTTP client. Its goal is to make CLI interaction with web services as human-friendly as possible. HTTPie is designed for testing, debugging, and generally interacting with APIs & HTTP servers. The HTTP & HTTPS commands allow for creating and sending arbitrary HTTP requests. They use simple and natural syntax and provide formatted and colorized output.
    Downloads: 0 This Week
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  • 3
    Django Bootstrap Modal Forms

    Django Bootstrap Modal Forms

    A Django plugin for creating AJAX driven forms in Bootstrap modal

    A Django plugin for creating AJAX-driven forms in Bootstrap modal. This repository includes Dockerfile and docker-compose.yml files so you can easily setup and start to experiment with django-bootstrap-modal-forms running inside of a container on your local machine. Any changes you make in bootstrap_modal_forms, examples and test folders are reflected in the container (see docker-compose.yml) and the data stored in the sqlite3 database are persistent even if you remove the stopped container....
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  • 4
    Hugo Academic CLI

    Hugo Academic CLI

    Import academic publications from Bibtex to your Markdown website

    Import publications from your reference manager to Hugo. Import publications, including books, conference proceedings and journals, from your reference manager to your static site generator. Simply export a BibTeX file from your reference manager, such as Zotero, and provide this as the input.
    Downloads: 0 This Week
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  • 5
    Superstaq

    Superstaq

    Quantum software platform that is optimized across the quantum stack

    This repository is the home of the Superstaq development team's open-source work. Our quantum software platform is optimized across the quantum stack and enables users to write quantum programs in Cirq or Qiskit and target a variety of quantum computers and simulators.
    Downloads: 0 This Week
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  • 6
    spacy-llm

    spacy-llm

    Integrating LLMs into structured NLP pipelines

    Large Language Models (LLMs) feature powerful natural language understanding capabilities. With only a few (and sometimes no) examples, an LLM can be prompted to perform custom NLP tasks such as text categorization, named entity recognition, coreference resolution, information extraction and more. This package integrates Large Language Models (LLMs) into spaCy, featuring a modular system for fast prototyping and prompting, and turning unstructured responses into robust outputs for various...
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  • 7
    Scikit-LLM

    Scikit-LLM

    Seamlessly integrate LLMs into scikit-learn

    Seamlessly integrate powerful language models like ChatGPT into sci-kit-learn for enhanced text analysis tasks. At the moment the majority of the Scikit-LLM estimators are only compatible with some of the OpenAI models. Hence, a user-provided OpenAI API key is required. Additionally, Scikit-LLM will ensure that the obtained response contains a valid label. If this is not the case, a label will be selected randomly (label probabilities are proportional to label occurrences in the training...
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  • 8
    Sweep AI

    Sweep AI

    Sweep: AI-powered Junior Developer for small features and bug fixes

    Let Sweep handle your tech debt so you can focus on the exciting problems. Sweep is an AI junior developer that transforms bug reports & feature requests into code changes. Describe bugs, small features, and refactors like you would to a junior developer and Sweep.
    Downloads: 0 This Week
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  • 9
    Arthur Bench

    Arthur Bench

    Bench is a tool for evaluating LLMs for production use cases

    Bench is a tool for evaluating LLMs for production use cases. Whether you are comparing different LLMs, considering different prompts, or testing generation hyperparameters like temperature and # tokens, Bench provides one touch point for all your LLM performance evaluation.
    Downloads: 0 This Week
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  • 10
    Flyte
    Build production-grade data and ML workflows, hassle-free The infinitely scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks. Don’t let friction between development and production slow down the deployment of new data/ML workflows and cause an increase in production bugs. Flyte enables rapid experimentation with production-grade software. Debug in the cloud by iterating on the workflows locally to achieve tighter feedback loops. As your...
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  • 11
    Panda-Helper

    Panda-Helper

    Panda-Helper: Data profiling utility for Pandas DataFrames and Series

    Panda-Helper is a simple data-profiling utility for Pandas DataFrames and Series. Assess data quality and usefulness with minimal effort. Quickly perform initial data exploration, so you can move on to more in-depth analysis.
    Downloads: 0 This Week
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  • 12
    odd-collector

    odd-collector

    Open-source metadata collector based on ODD Specification

    ODD Collector is a lightweight service that gathers metadata from all your data sources. Push-client is a provider which sends information directly to the central repository of the Platform. ODDRN (Open Data Discovery Resource Name) is a unique resource name that identifies entities such as data sources, data entities, dataset fields etc. It is used to build lineage and update metadata.
    Downloads: 0 This Week
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  • 13
    ydata-profiling

    ydata-profiling

    Create HTML profiling reports from pandas DataFrame objects

    ydata-profiling primary goal is to provide a one-line Exploratory Data Analysis (EDA) experience in a consistent and fast solution. Like pandas df.describe() function, that is so handy, ydata-profiling delivers an extended analysis of a DataFrame while allowing the data analysis to be exported in different formats such as html and json.
    Downloads: 0 This Week
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  • 14
    Recap

    Recap

    Recap tracks and transform schemas across your whole application

    Recap is a schema language and multi-language toolkit to track and transform schemas across your whole application. Your data passes through web services, databases, message brokers, and object stores. Recap describes these schemas in a single language, regardless of which system your data passes through. Recap schemas can be defined in YAML, TOML, JSON, XML, or any other compatible language.
    Downloads: 0 This Week
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  • 15
    Textinator

    Textinator

    Internationalized highly customizable annotation and evaluation tool

    Textinator is an open-source internationalized highly-customizable annotation and evaluation tool for Natural Language Processing (NLP) tasks. The tool offers a web interface with a user-friendly UI and supports a number of NLP tasks out of the box. The recommended way of deploying Textinator is through building a production version of the Docker container, as described in the Deployment guidelines. Note that the production version is most definitely more secure and reliable than the...
    Downloads: 0 This Week
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  • 16
    bbox-visualizer

    bbox-visualizer

    Make drawing and labeling bounding boxes easy as cake

    Make drawing and labeling bounding boxes easy as cake. This package helps users draw bounding boxes around objects, without doing the clumsy math that you'd need to do for positioning the labels. It also has a few different types of visualizations you can use for labeling objects after identifying them. There are optional functions that can draw multiple bounding boxes and/or write multiple labels on the same image, but it is advisable to use the above functions in a loop in order to have...
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  • 17
    Granian

    Granian

    A Rust HTTP server for Python applications

    A Rust HTTP server for Python applications. Supports ASGI/3, RSGI and WSGI interface applications. Implements HTTP/1 and HTTP/2 protocols. Supports HTTPS. Supports Websockets over HTTP/1 and HTTP/2.
    Downloads: 0 This Week
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  • 18
    imodelsX

    imodelsX

    Interpretable prompting and models for NLP

    Interpretable prompting and models for NLP (using large language models). Generates a prompt that explains patterns in data (Official) Explain the difference between two distributions. Find a natural-language prompt using input-gradients. Fit a better linear model using an LLM to extract embeddings. Fit better decision trees using an LLM to expand features. Finetune a single linear layer on top of LLM embeddings. Use these just a like a sci-kit-learn model. During training, they fit better...
    Downloads: 0 This Week
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  • 19
    solo-learn

    solo-learn

    Library of self-supervised methods for visual representation

    A library of self-supervised methods for visual representation learning powered by Pytorch Lightning. A library of self-supervised methods for unsupervised visual representation learning powered by PyTorch Lightning. We aim at providing SOTA self-supervised methods in a comparable environment while, at the same time, implementing training tricks. The library is self-contained, but it is possible to use the models outside of solo-learn.
    Downloads: 0 This Week
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  • 20
    PEFT

    PEFT

    State-of-the-art Parameter-Efficient Fine-Tuning

    Parameter-Efficient Fine-Tuning (PEFT) methods enable efficient adaptation of pre-trained language models (PLMs) to various downstream applications without fine-tuning all the model's parameters. Fine-tuning large-scale PLMs is often prohibitively costly. In this regard, PEFT methods only fine-tune a small number of (extra) model parameters, thereby greatly decreasing the computational and storage costs. Recent State-of-the-Art PEFT techniques achieve performance comparable to that of full...
    Downloads: 0 This Week
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  • 21
    Cherche

    Cherche

    Neural Search

    Cherche allows the creation of efficient neural search pipelines using retrievers and pre-trained language models as rankers. Cherche's main strength is its ability to build diverse and end-to-end pipelines from lexical matching, semantic matching, and collaborative filtering-based models. Cherche provides modules dedicated to summarization and question answering. These modules are compatible with Hugging Face's pre-trained models and fully integrated into neural search pipelines. Search is...
    Downloads: 0 This Week
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  • 22
    ChatGPT-Reviewer

    ChatGPT-Reviewer

    Automated pull requests reviewing and issues triaging with ChatGPT

    Automated pull requests reviewing and issues triaging with ChatGPT. Create an OpenAI API key here, and then set the key as an action secret in your repository named OPENAI_API_KEY. The ChatGPT reviewer PRs are also getting reviewed by ChatGPT, refer the pull requests for the sample review comments. In order to protect public repositories for malicious users, Github runs all pull request workflows raised from repository forks with a read-only token and no access to secrets.
    Downloads: 0 This Week
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  • 23
    FSM for Go

    FSM for Go

    Finite State Machine for Go

    FSM is a finite state machine for Go. It is heavily based on two FSM implementations. Javascript Finite State Machine, and Fysom for Python. Visualize outputs a visualization of a FSM in Graphviz format. VisualizeForMermaidWithGraphType outputs a visualization of a FSM in Mermaid format as specified by the graphType. VisualizeWithType outputs a visualization of a FSM in the desired format. If the type is not given it defaults to GRAPHVIZ. Callback is a function type that callbacks should use...
    Downloads: 0 This Week
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  • 24
    Flask-APScheduler

    Flask-APScheduler

    Adds APScheduler support to Flask

    Flask-APScheduler is a Flask extension that adds support for the APScheduler. Loads scheduler configuration from Flask configuration. Loads job definitions from Flask configuration. Allows to specify the hostname which the scheduler will run on. Provides a REST API to manage the scheduled jobs. Provides authentication for the REST API. Integrates with Flask Blueprints.
    Downloads: 0 This Week
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  • 25
    Flask-WTF

    Flask-WTF

    Simple integration of Flask and WTForms, including CSRF

    Simple integration of Flask and WTForms, including CSRF, file upload, and reCAPTCHA. Integration with WTForms. Secure Form with CSRF token. Global CSRF protection. reCAPTCHA support. File upload that works with Flask-Uploads. Internationalization using Flask-Babel.
    Downloads: 0 This Week
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