Search Results for "python code generator" - Page 4

1351 projects for "python code generator" with 2 filters applied:

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  • 1
    Lets-Plot

    Lets-Plot

    Multiplatform plotting library based on Grammar of Graphics

    Lets-Plot is a multiplatform plotting library based on the Grammar of Graphics. The library' design is heavily influenced by Leland Wilkinson work The Grammar of Graphics describing the deep features that underlie all statistical graphics.
    Downloads: 2 This Week
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  • 2
    4M

    4M

    4M: Massively Multimodal Masked Modeling

    4M is a training framework for “any-to-any” vision foundation models that uses tokenization and masking to scale across many modalities and tasks. The same model family can classify, segment, detect, caption, and even generate images, with a single interface for both discriminative and generative use. The repository releases code and models for multiple variants (e.g., 4M-7 and 4M-21), emphasizing transfer to unseen tasks and modalities. Training/inference configs and issues discuss things like...
    Downloads: 2 This Week
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  • 3
    MGIE

    MGIE

    Guiding Instruction-based Image Editing via Multimodal Large Language

    MGIE—Guiding Instruction-based Image Editing—demonstrates how a multimodal LLM can parse natural-language editing instructions and then drive image transformations accordingly. The project focuses on making edits explainable and controllable: the model interprets text guidance, reasons over image content, and outputs edits aligned with user intent. It’s positioned as an ICLR 2024 Spotlight work, with code and references that show how to connect language planning to concrete image operations...
    Downloads: 2 This Week
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  • 4
    CutLER

    CutLER

    Code release for Cut and Learn for Unsupervised Object Detection

    CutLER is an approach for unsupervised object detection and instance segmentation that trains detectors without human-annotated labels, and the repo also includes VideoCutLER for unsupervised video instance segmentation. The method follows a “Cut-and-LEaRn” recipe: bootstrap object proposals, refine them iteratively, and train detection/segmentation heads to discover objects across diverse datasets. The codebase provides training and inference scripts, model configs, and references to...
    Downloads: 2 This Week
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  • No-Nonsense Code-to-Cloud Security for Devs | Aikido Icon
    No-Nonsense Code-to-Cloud Security for Devs | Aikido

    Connect your GitHub, GitLab, Bitbucket, or Azure DevOps account to start scanning your repos for free.

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  • 5
    MobileCLIP

    MobileCLIP

    Implementation of "MobileCLIP" CVPR 2024

    MobileCLIP is a family of efficient image-text embedding models designed for real-time, on-device retrieval and zero-shot classification. The repo provides training, inference, and evaluation code for MobileCLIP models trained on DataCompDR, and for newer MobileCLIP2 models trained on DFNDR. It includes an iOS demo app and Core ML artifacts to showcase practical, offline photo search and classification on iPhone-class hardware. Project notes highlight latency/accuracy trade-offs...
    Downloads: 2 This Week
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  • 6
    FairChem

    FairChem

    FAIR Chemistry's library of machine learning methods for chemistry

    FAIRChem is a unified library for machine learning in chemistry and materials, consolidating data, pretrained models, demos, and application code into a single, versioned toolkit. Version 2 modernizes the stack with a cleaner core package and breaking changes relative to V1, focusing on simpler installs and a stable API surface for production and research. The centerpiece models (e.g., UMA variants) plug directly into the ASE ecosystem via a FAIRChem calculator, so users can run relaxations...
    Downloads: 2 This Week
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  • 7
    CoreNet

    CoreNet

    CoreNet: A library for training deep neural networks

    CoreNet is Apple’s internal deep learning framework for distributed neural network training, designed for high scalability, low-latency communication, and strong hardware efficiency. It focuses on enabling large-scale model training across clusters of GPUs and accelerators by optimizing data flow and parallelism strategies. CoreNet provides abstractions for data, tensor, and pipeline parallelism, allowing models to scale without code duplication or heavy manual configuration. Its distributed...
    Downloads: 2 This Week
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  • 8
    SAM 2

    SAM 2

    The repository provides code for running inference with SAM 2

    SAM2 is a next-generation version of the Segment Anything Model (SAM), designed to improve performance, generalization, and efficiency in promptable image segmentation tasks. It retains the core promptable interface—accepting points, boxes, or masks—but incorporates architectural and training enhancements to produce higher-fidelity masks, better boundary adherence, and robustness to complex scenes. The updated model is optimized for faster inference and lower memory use, enabling real-time...
    Downloads: 2 This Week
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  • 9
    Prompt Engineering Interactive Tutorial

    Prompt Engineering Interactive Tutorial

    Anthropic's Interactive Prompt Engineering Tutorial

    ... the way you would debug code. Lessons include building prompts from scratch for common tasks like extraction, classification, transformation, and step-by-step reasoning, with checkpoints that let you compare your outputs against solid baselines. You’ll also practice advanced patterns such as tool use, constrained generation, and response validation so outputs are trustworthy and machine-consumable.
    Downloads: 2 This Week
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  • Photo and Video Editing APIs and SDKs Icon
    Photo and Video Editing APIs and SDKs

    Trusted by 150 million+ creators and businesses globally

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  • 10
    ChatGPT Retrieval Plugin

    ChatGPT Retrieval Plugin

    The ChatGPT Retrieval Plugin lets you easily find personal

    .... The repo provides code for ingestion pipelines (embedding documents), APIs for querying, local server components, and privacy / PII detection modules. It also contains plugin manifest files (OpenAPI spec, plugin JSON) so that the retrieval backend can be registered in a plugin ecosystem. Because retrieval is often needed to make LLMs “know what’s in your docs” without leaking everything, this plugin aims to be a secure, flexible building block for retrieval-augmented generation (RAG) systems.
    Downloads: 2 This Week
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  • 11
    OpenAI Cookbook

    OpenAI Cookbook

    Examples and guides for using the OpenAI API

    openai-cookbook is a repository containing example code, tutorials, and guidance for how to build real applications on top of the OpenAI API. It covers a wide range of use cases: prompt engineering, embeddings and semantic search, fine-tuning, agent architectures, function calling, working with images, chat workflows, and more. The content is primarily in Python (notebooks, scripts), but the conceptual guidance is applicable across languages. The repository is kept up to date and often expanded...
    Downloads: 2 This Week
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  • 12
    glbinding

    glbinding

    A C++ binding for the OpenGL API, generated using the gl.xml specifica

    ... as tools and examples for quick-starting your projects. Based on the OpenGL API specification (gl.xml) glbinding is generated using Python scripts and templates that can be easily adapted to fit custom needs.
    Downloads: 2 This Week
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  • 13
    py2many

    py2many

    Transpiler of Python to many other languages

    Python is popular, and easy to program in, but it has poor runtime performance. We can fix that by transpiring a subset of the language into a more performant, statically typed language. A second benefit is security. Writing security-sensitive code in a low-level language like C is error-prone and could lead to privilege escalation. Specialized languages such as wuffs exist to address this use case. py2many can be a more general-purpose solution to the problem where you can verify the source...
    Downloads: 1 This Week
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  • 14
    Semantix

    Semantix

    Non-Pydantic, Non-JSON Schema, efficient AutoPrompting

    Semantix empowers developers to infuse meaning into their code through enhanced variable typing (semantic typing). By leveraging the power of large language models (LLMs) behind the scenes, Semantix transforms ordinary functions into intelligent, context-aware operations without explicit LLM calls.
    Downloads: 1 This Week
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  • 15
    Yandex Music API

    Yandex Music API

    Non-official Python library for works with API service Index

    This library provides Python interface for anyone undocumented and self-made API Yandex Music. It is compatible with Python 3.7 + and supports working with both synchronous and asyncio code. In addition to implementing a clean API, this library has a number of — high-level wrapping classes in order to make the development of customers and scripts simple and understandable. All documentation was written from scratch based on logical analysis during reverse development (reverse engineering) API.
    Downloads: 1 This Week
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  • 16
    GraphQL Kotlin

    GraphQL Kotlin

    Libraries for running GraphQL in Kotlin

    ... and changes in either have to be reflected in both locations. As your schema scales to hundreds of types and many different resolvers, it can get more difficult to track what code needs to be changed if you want to add a new field, deprecate or delete an existing one, or fix a bug in the resolver code. graphql-kotlin-schema-generator aims to simplify this process by using Kotlin reflection to generate the schema for you. All you need to do is write your schema code in a Kotlin class.
    Downloads: 1 This Week
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  • 17
    ML for Beginners

    ML for Beginners

    12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

    ML-For-Beginners is a structured, project-driven curriculum that teaches foundational machine learning concepts with approachable math and lots of code. Organized as a multi-week course, it mixes short lectures with labs in notebooks so learners practice regression, classification, clustering, and recommendation techniques on real datasets. Each lesson aims to connect the algorithm to a relatable scenario, reinforcing intuition before diving into parameters, metrics, and trade-offs...
    Downloads: 1 This Week
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  • 18
    Google Style Guides

    Google Style Guides

    Style guides for Google-originated open source projects

    Google Styleguide is a comprehensive collection of coding style guides created and maintained by Google to ensure consistency, readability, and maintainability across its vast array of software projects. These guides define best practices and conventions for writing code in multiple programming languages, from C++ and Python to JavaScript, Go, and Swift. By adhering to these standards, developers can more easily collaborate, review code, and maintain high-quality software across teams and open...
    Downloads: 1 This Week
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  • 19
    Plugins Quickstart

    Plugins Quickstart

    Get a ChatGPT plugin up and running in under 5 minutes

    plugins-quickstart is a starter project created by OpenAI to help developers build and deploy ChatGPT plugins quickly. It provides a minimal but complete example of how to structure a plugin, implement an API, and define the necessary configuration files. The repository demonstrates how a plugin can be served, authenticated, and integrated with ChatGPT for real-world use. By including both the backend code and plugin manifest, it guides developers through the end-to-end development workflow...
    Downloads: 1 This Week
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  • 20
    DeepSeek MoE

    DeepSeek MoE

    Towards Ultimate Expert Specialization in Mixture-of-Experts Language

    ... or LLaMA2 7B using about 40% of the total compute. The repo publishes both Base and Chat variants of the 16B MoE model (deepseek-moe-16b) and provides evaluation results across benchmarks. It also includes a quick start with inference instructions (using Hugging Face Transformers) and guidance on fine-tuning (DeepSpeed, hyperparameters, quantization). The licensing is MIT for code, with a “Model License” applied to the models.
    Downloads: 1 This Week
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  • 21
    CLIP

    CLIP

    CLIP, Predict the most relevant text snippet given an image

    ... image—even without explicit training for that classification task. The repository provides code for model architecture, preprocessing transforms, evaluation pipelines, and example inference scripts. Because it generalizes to arbitrary labels via text prompts, CLIP is a powerful tool for tasks that involve interpreting images in terms of descriptive language.
    Downloads: 1 This Week
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  • 22
    NVIDIA Merlin

    NVIDIA Merlin

    Library providing end-to-end GPU-accelerated recommender systems

    ... on the NVIDIA developer website. Transform data (ETL) for preprocessing and engineering features. Accelerate your existing training pipelines in TensorFlow, PyTorch, or FastAI by leveraging optimized, custom-built data loaders. Scale large deep learning recommender models by distributing large embedding tables that exceed available GPU and CPU memory. Deploy data transformations and trained models to production with only a few lines of code.
    Downloads: 1 This Week
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  • 23
    Build your own X

    Build your own X

    Master programming by recreating your favorite technologies

    build-your-own-x is a massive, community-curated roadmap of hands-on tutorials that teach you to re-implement complex systems from scratch—things like databases, compilers, operating systems, interpreters, web servers, neural networks, regex engines, and more. Rather than offering abstract theory, it organizes step-by-step guides by topic and by programming language, so you can pick a project that fits your stack and skill level. The focus is on demystifying internals: you don’t just use a...
    Downloads: 1 This Week
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  • 24
    nanochat

    nanochat

    The best ChatGPT that $100 can buy

    ...: you can boot a fresh GPU box and drive the whole pipeline via a single script, producing a usable chat model in hours and a clear markdown report of what happened. The code is written to be read—concise training loops, transparent configs, and minimal wrappers—so you can audit each step, tweak it, and rerun without getting lost in framework indirection.
    Downloads: 1 This Week
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  • 25
    Gemma in PyTorch

    Gemma in PyTorch

    The official PyTorch implementation of Google's Gemma models

    ... teams can benchmark and iterate rapidly. The code is organized to be legible and hackable, exposing attention blocks, positional encodings, and head configurations. With standard PyTorch abstractions, it integrates easily into existing training loops, loggers, and evaluation harnesses.
    Downloads: 1 This Week
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