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  • Train ML Models With SQL You Already Know Icon
    Train ML Models With SQL You Already Know

    BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

    Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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    99.99% Uptime for MySQL and PostgreSQL Databases

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  • 1
    Pretty Jupyter

    Pretty Jupyter

    Creates dynamic html report from jupyter notebook.

    Pretty Jupyter is an easy-to-use package that allows to create beautiful & dynamic HTML reports. Most of the features require little to no work to get working and greatly improve the quality of the output report, or even the developer’s comfort when creating the report. For example, tabs make some visualizations much more comfortable. The features are integrated directly into the output page, therefore there is no need to have an interpreter running in the backend.
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  • 2
    TorchMetrics

    TorchMetrics

    Machine learning metrics for distributed, scalable PyTorch application

    TorchMetrics is a collection of 80+ PyTorch metrics implementations and an easy-to-use API to create custom metrics. Your data will always be placed on the same device as your metrics. You can log Metric objects directly in Lightning to reduce even more boilerplate. The module-based metrics contain internal metric states (similar to the parameters of the PyTorch module) that automate accumulation and synchronization across devices!
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  • 3
    Oppia

    Oppia

    A free, online learning platform to make quality education accessible

    ...Oppia identifies common wrong answers and provides tailored feedback, so that students get a personalized experience. Our lessons keep students engaged through playful characters and use different strategies to solidify their knowledge. Check out our math lessons with proven results! In addition to developing the Oppia platform, the team is also developing and piloting a set of free and effective lessons on basic mathematics. These lessons are targeted at learners who lack access to educational resources. Oppia is written using Python and AngularJS, and is built on top of Google App Engine.
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  • 4
    Autograd

    Autograd

    Efficiently computes derivatives of numpy code

    ...The main intended application of Autograd is gradient-based optimization. For more information, check out the tutorial and the examples directory. We can continue to differentiate as many times as we like, and use numpy's vectorization of scalar-valued functions across many different input values.
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  • Veeam Data Platform v13.1 - Get Your Free Trial Icon
    Veeam Data Platform v13.1 - Get Your Free Trial

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  • 5
    UniMate

    UniMate

    UniMate: One Unified Model to Animate Diverse Skeletons

    ...The same model supports text-guided motion editing, in-betweening, and longer motion expansion. Training, inference, data processing, and preview checkpoints are provided for research use.
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  • 6
    pyperclip

    pyperclip

    Python module for cross-platform clipboard functions

    ...Additional methods can wait until any text appears on the clipboard or until the clipboard contents change. Windows support works without extra modules, while macOS can use native clipboard commands or PyObjC. Linux supports tools such as xclip, xsel, wl-clipboard, Qt, and other compatible clipboard backends. The module automatically selects an appropriate mechanism for the current environment. Pyperclip is intentionally focused on plain text rather than images or rich clipboard formats, making it useful for scripts that need portable clipboard integration.
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  • 7
    EditorConfig

    EditorConfig

    Sublime Text plugin for EditorConfig

    EditorConfig Sublime is a Sublime Text plugin that applies EditorConfig coding-style rules to files opened in the editor. It helps teams maintain consistent formatting conventions even when developers use different editors or operating systems. Supported settings include indentation style and size, line endings, character encoding, trailing-whitespace removal, and final-newline insertion. The plugin reads these preferences from standard .editorconfig files associated with a project. It can be installed through Sublime Text's Package Control system and includes syntax support for EditorConfig files. ...
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  • 8
    Zipline Reloaded

    Zipline Reloaded

    Zipline, a Pythonic Algorithmic Trading Library

    ...Common statistics such as moving averages and linear regression are available within algorithm workflows. Pandas-based input and output integrate naturally with the broader Python data-science ecosystem. Strategies can also use libraries such as SciPy, Matplotlib, statsmodels, and scikit-learn for analysis and modeling. The maintained fork updates dependencies and compatibility so the established Zipline workflow remains usable on modern Python environments.
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  • 9
    WorkBuddyGuide

    WorkBuddyGuide

    A practical, open-source guide to mastering WorkBuddy

    ...Rather than restating product documentation, it follows tasks from initial setup through repeatable team workflows. The guide covers installation, interface basics, Skills, connectors, APIs, automation, knowledge management, content work, meetings, remote work, and other use cases. Advanced sections address building Skills, multi-agent system design, automation reliability, permissions, acceptance criteria, and fallback planning. Role- and industry-oriented chapters help readers adapt WorkBuddy to different professional contexts. The VitePress website adds full-text search, navigation, dark mode, flowcharts, and mobile support, while community cases provide reusable examples.
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  • Build Agents and Models on One Platform Icon
    Build Agents and Models on One Platform

    Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

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  • 10
    Claude Overlay

    Claude Overlay

    A floating, screen-aware Claude Code chat for Windows

    ...Because it runs the installed Claude Code CLI through the Agent SDK, it can also read files, execute commands, and edit open work when permissions allow. The interface streams responses, shows tool activity and context use, accepts pasted images, and provides an in-place model switcher. Conversations can resume after restarts or temporary CLI disconnections. Multiple named overlays can run at once and collapse into labeled draggable orbs. It uses the user’s existing Claude subscription rather than a separate API key.
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  • 11
    ThinkStats2

    ThinkStats2

    Text and supporting code for Think Stats, 2nd Edition

    ...Each chapter has a notebook containing examples and exercises, along with a separate version that includes solutions. The repository also provides reusable thinkstats2 and thinkplot packages, homework material, workshops, and book-building files. Learners can use the notebooks in Google Colab or download the project for local work.
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  • 12
    git-remote-dropbox

    git-remote-dropbox

    A transparent bridge between Git and Dropbox

    ...It provides a transparent bridge between Git and a Dropbox folder or shared Dropbox folder. After installation and login, users can clone from or push to remote URLs that use the dropbox scheme. The helper preserves traditional Git remote guarantees, including atomic behavior even when multiple people operate on the repository. It can automatically create the repository directory the first time a user pushes. It also includes a git dropbox management tool for authentication, repository management, app-folder access, and multiple Dropbox accounts.
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  • 13
    Hiring Agent

    Hiring Agent

    AI agent to evaluate and score resumes

    ...After the data is collected, it produces an explainable evaluation with category scores, supporting evidence, bonus points, and deductions. It can run locally with Ollama or use Google Gemini, which makes it flexible for teams that want either private local processing or hosted model access.
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  • 14
    autoresearch-win-rtx

    autoresearch-win-rtx

    AI agents running research on single-GPU nanochat training

    autoresearch-win-rtx is a Windows-based implementation of the autoresearch framework designed to run autonomous AI research loops on consumer NVIDIA RTX GPUs. It adapts the original autoresearch concept to a Windows environment, enabling users to perform iterative machine learning optimization without requiring specialized Linux or data center setups. The system revolves around a small set of core files, including a training script that is continuously modified by an AI agent, along with...
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  • 15
    LeWorldModel

    LeWorldModel

    Official code base for LeWorldModel: Stable End-to-End Joint-Embedding

    LeWorldModel is a minimalist tiling window manager designed for the X11 windowing system, focusing on simplicity, performance, and efficient use of screen space. It provides automatic window tiling behavior, organizing application windows into structured layouts without requiring manual resizing or positioning. The project emphasizes a lightweight design, minimizing resource usage while maintaining responsiveness and stability. It is highly configurable through source code or configuration files, allowing users to tailor behavior, keybindings, and layouts to their preferences. le-wm is intended for users who prefer keyboard-driven workflows and a distraction-free desktop environment. ...
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  • 16
    NeMo Retriever Library

    NeMo Retriever Library

    Document content and metadata extraction microservice

    ...The system is built on NVIDIA NIM microservices, enabling high-performance parallel processing and efficient handling of large datasets. It supports multiple extraction strategies for different document formats, balancing accuracy and throughput depending on the use case. Additionally, it can generate embeddings for extracted content and integrate with vector databases like Milvus, making it well-suited for retrieval-augmented generation pipelines.
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  • 17
    ShoppingAgent

    ShoppingAgent

    Custom Chinese chatbot with Seq2Seq, GPT, and agent features

    ...ShoppingAgent is structured to support experimentation across different deep learning frameworks such as TensorFlow, PyTorch, and MindSpore, giving developers flexibility in how they train and deploy models. In addition to core chatbot functionality, the project introduces agent-based capabilities, enabling practical use cases like automated workflows and task-oriented assistants. It also includes support for small language models and local training scripts, making it accessible for users with limited computational resources. ShoppingAgent can be applied to scenarios such as customer service, question answering, and casual conversation.
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  • 18
    RL with PyTorch

    RL with PyTorch

    Clean, Robust, and Unified PyTorch implementation

    ...Many examples demonstrate how agents learn to interact with simulated environments through trial and error using reinforcement learning principles. The codebase emphasizes clarity and modular design so that researchers can extend the implementations or use them for experimentation and benchmarking.
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  • 19
    SWIFT LLM

    SWIFT LLM

    Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs

    SWIFT LLM is a comprehensive framework developed within the ModelScope ecosystem for training, fine-tuning, evaluating, and deploying large language models and multimodal models. The platform provides a full machine learning pipeline that supports tasks ranging from model pre-training to reinforcement learning alignment techniques. It integrates with popular inference engines such as vLLM and LMDeploy to accelerate deployment and runtime performance. The framework also includes support for...
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  • 20
    Claude Code Hooks Mastery

    Claude Code Hooks Mastery

    Master Claude Code Hooks

    ...Although the project itself doesn’t include a single coherent application, it functions as a curated collection of advanced hook examples, best practices, and coding patterns that show how to tailor Claude Code to specific use cases such as automated CI workflows, custom command triggers, and integrations with external tools. The repository is part of a larger ecosystem of Claude Code tooling that enables natural-language-driven coding tasks, and the hooks contained here help users go beyond default behaviors to solve real problems efficiently.
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  • 21
    MemMachine

    MemMachine

    Universal memory layer for AI Agents

    MemMachine is a universal memory layer designed for AI agents that provides persistent, rich memory storage and retrieval capabilities so autonomous agent systems can recall context, personal preferences, and long-term interaction history across sessions, models, and use cases. Unlike ephemeral LLM prompt state, MemMachine supports distinct memory types—short-term conversational context, long-term persistent knowledge, and profile memory for personalized facts—persisted in optimized stores (e.g., graph databases for episodic lines of reasoning and SQL for user facts) to support robust, context-aware intelligence in agents. ...
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  • 22
    bu-agent-sdk

    bu-agent-sdk

    An agent is just a for-loop

    The bu-agent-sdk from the Browser Use project is a minimalistic Python framework that defines an AI agent as a simple loop of tool calls, aiming to keep abstractions low so developers can build autonomous agents without unnecessary complexity. At its core, the agent loop repeatedly queries a large language model, interprets its output, and executes defined “tools” — functions annotated with task names — to perform actions, allowing the agent to complete tasks like arithmetic, decision-making, or domain-specific work. ...
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  • 23
    Manim Skills Repository

    Manim Skills Repository

    Agent skills for Manim to create 3Blue1Brown style animations

    Manim Skills Repository provides a well-crafted set of “agent skills” and reusable components that make it easier to produce animations in Manim similar to the iconic style seen in 3Blue1Brown videos. It supplies templates, best-practice patterns, and example scenes that help users quickly get started with both Manim Community Edition and the older ManimGL framework, allowing for expressive mathematical and conceptual animations without reinventing the wheel. The project aims to wrap common...
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  • 24
    SeedVR

    SeedVR

    Repo for SeedVR2 & SeedVR

    SeedVR (from the ByteDance-Seed organization) is an open-source research and implementation repository focused on cutting-edge video restoration using diffusion transformer architectures. The project includes both the original SeedVR and its successor SeedVR2 models, which are designed to restore degraded or low-quality video content by learning to reconstruct high-fidelity frames with temporal coherence. These models leverage advanced techniques such as adaptive attention mechanisms and...
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  • 25
    Gemma in PyTorch

    Gemma in PyTorch

    The official PyTorch implementation of Google's Gemma models

    gemma_pytorch provides the official PyTorch reference for running and fine-tuning Google’s Gemma family of open models. It includes model definitions, configuration files, and loading utilities for multiple parameter scales, enabling quick evaluation and downstream adaptation. The repository demonstrates text generation pipelines, tokenizer setup, quantization paths, and adapters for low-rank or parameter-efficient fine-tuning. Example notebooks walk through instruction tuning and evaluation...
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