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  • 1
    Context Engineering

    Context Engineering

    A frontier, first-principles handbook

    Context Engineering is a comprehensive, open-source project serving as a first-principles handbook for the emerging discipline of context design and optimization in AI. Moving beyond traditional prompt engineering, this repository defines and explores how to craft and provide complete context payloads — not just single prompts — to large language models so they can perform tasks more reliably and intelligently. It takes inspiration from thought leaders like Andrej Karpathy and bridges theory...
    Downloads: 0 This Week
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  • 2
    The Data Engineering Handbook

    The Data Engineering Handbook

    Links to everything you'd ever want to learn about data engineering

    The Data Engineering Handbook is a comprehensive, community-curated repository that aggregates essential learning resources for anyone interested in becoming a professional data engineer. Rather than being a code project itself, it’s a learning handbook that links to books, articles, tutorials, community groups, boot camps, and real-world project examples that collectively form a roadmap to mastering data engineering skills. It includes beginner and intermediate boot camps, interview guides,...
    Downloads: 2 This Week
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  • 3
    Learn AI Engineering

    Learn AI Engineering

    Learn AI and LLMs from scratch using free resources

    Learn AI Engineering is a learning path for AI engineering that consolidates high-quality, free resources across the full stack: math, Python foundations, machine learning, deep learning, LLMs, agents, tooling, and deployment. Rather than a loose bookmark list, it organizes topics into a progression so learners can start from fundamentals and move toward practical, production-oriented skills.
    Downloads: 1 This Week
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  • 4
    AI Engineering Academy

    AI Engineering Academy

    Mastering Applied AI, One Concept at a Time

    AI-Engineering.academy is a community-driven educational repository that organizes practical knowledge and learning paths for applied AI engineering. The project aims to make complex AI concepts accessible by structuring them into progressive learning modules covering topics such as prompt engineering, retrieval-augmented generation, LLM deployment, and AI agents. Rather than focusing purely on theoretical explanations, the repository emphasizes hands-on understanding of how modern AI...
    Downloads: 0 This Week
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    Machine Learning Engineering Open Book

    Machine Learning Engineering Open Book

    Machine Learning Engineering Open Book

    Machine Learning Engineering Open Book is an open “living book” that captures practical methodologies, tooling advice, and operational knowledge for successfully training and deploying large language models and multimodal systems. The repository functions as a field guide compiled from real-world experience, particularly from work on large-scale models such as BLOOM-176B and IDEFICS-80B. It is heavily oriented toward practitioners who need hands-on solutions, including copy-paste commands,...
    Downloads: 0 This Week
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  • 6
    AI Engineering Hub

    AI Engineering Hub

    In-depth tutorials on LLMs, RAGs and real-world AI agent applications

    The AI Engineering Hub repository is a large open-source collection of hands-on projects, tutorials, and real-world AI engineering resources designed to help developers learn and build with modern AI technologies, especially large language models (LLMs), retrieval-augmented generation (RAG), and agent-based systems. It includes more than 90 production-ready projects across skill levels, organized into beginner, intermediate, and advanced categories to guide users progressively from simple...
    Downloads: 0 This Week
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  • 7
    Context Engineering Template

    Context Engineering Template

    Context engineering is the new vibe coding

    Context Engineering Template is a comprehensive template and workflow repository designed to teach and implement context engineering, a structured approach to preparing and organizing the information necessary for AI coding assistants to complete complex tasks reliably. Instead of relying solely on short prompts, this project encourages developers to create rich, structured context files that include project rules, examples, and validation criteria so that AI systems can act more like...
    Downloads: 0 This Week
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  • 8
    Manim Python

    Manim Python

    Animation engine for explanatory math videos

    Manim is a Python library and animation engine designed for creating precise, programmatic mathematical visuals—famously used by 3Blue1Brown. It enables developers and educators to script animations using code and produce high-quality explanatory math videos.
    Downloads: 3 This Week
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  • 9
    Agent Skills for Context Engineering

    Agent Skills for Context Engineering

    A comprehensive collection of Agent Skills for context engineering

    Agent Skills for Context Engineering is a curated collection of reusable “agent skills” focused on helping AI agents perform better on long-horizon, multi-step work by managing context deliberately. Rather than being a single application, it packages practical guidance into skill modules that agents can load to improve planning, retrieval, memory usage, and overall reliability in real workflows. The repository emphasizes context engineering as a discipline, covering why agents fail when...
    Downloads: 6 This Week
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  • 10
    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...
    Downloads: 0 This Week
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  • 11
    statsmodels

    statsmodels

    Statsmodels, statistical modeling and econometrics in Python

    statsmodels is a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests, and statistical data exploration. An extensive list of result statistics are available for each estimator. The results are tested against existing statistical packages to ensure that they are correct.
    Downloads: 3 This Week
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  • 12
    Best-of Python

    Best-of Python

    A ranked list of awesome Python open-source libraries

    This curated list contains 390 awesome open-source projects with a total of 1.4M stars grouped into 28 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an issue, submit a pull request, or directly edit the projects.yaml. Contributions are very welcome! Ranked list of awesome python libraries for web...
    Downloads: 1 This Week
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  • 13
    CausalImpact

    CausalImpact

    An R package for causal inference in time series

    The CausalImpact repository houses an R package that implements causal inference in time series using Bayesian structural time series models. Its goal is to estimate the effect of an intervention (e.g. a marketing campaign, policy change) on a time series outcome by predicting what would have happened in a counterfactual “no intervention” world. The package requires as input a response time series plus one or more control (covariate) time series that are assumed unaffected by the...
    Downloads: 0 This Week
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  • 14
    Selenium-python Helium

    Selenium-python Helium

    Selenium-python but lighter: Helium is the best Python library

    Under the hood, Helium forwards each call to Selenium. The difference is that Helium's API is much more high-level. In Selenium, you need to use HTML IDs, XPaths and CSS selectors to identify web page elements. Helium on the other hand lets you refer to elements by user-visible labels. As a result, Helium scripts are typically 30-50% shorter than similar Selenium scripts. What's more, they are easier to read and more stable with respect to changes in the underlying web page. Selenium-python...
    Downloads: 0 This Week
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  • 15
    Torch Pruning

    Torch Pruning

    DepGraph: Towards Any Structural Pruning

    Torch-Pruning is an open-source toolkit designed to optimize deep neural networks by performing structural pruning directly within PyTorch models. The library focuses on reducing the size and computational cost of neural networks by removing redundant parameters and channels while maintaining model performance. It introduces a graph-based algorithm called DepGraph that automatically identifies dependencies between layers, allowing parameters to be pruned safely across complex architectures....
    Downloads: 6 This Week
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  • 16
    JSON_REPAIR

    JSON_REPAIR

    A python module to repair invalid JSON from LLMs

    ...The repair process can also be combined with optional JSON Schema validation to enforce structural constraints and ensure the output conforms to expected data types and formats. Developers can integrate the library into applications as a drop-in replacement for standard JSON parsing functions, allowing systems to tolerate imperfect structured data without crashing.
    Downloads: 0 This Week
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  • 17
    Skill Scanner

    Skill Scanner

    Security Scanner for Agent Skills

    This repository is a public security-focused scanning tool intended to analyze and assess AI agent skills for potential issues, quality concerns, and vulnerabilities. It acts as a scanner that inspects Agent Skills packages to flag structural problems, inconsistencies, or security flaws before they are deployed or integrated into agent workflows. Because agent skills can contain executable instructions and logic, scanning them for risky patterns is essential to prevent inadvertent...
    Downloads: 7 This Week
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  • 18
    Complete-Python-Bootcamp

    Complete-Python-Bootcamp

    The complete Python bootcamp guide

    ...Later sections dive into advanced Python concepts, including memory management, multithreading, and multiprocessing, giving learners exposure to performance and concurrency topics that many beginner courses skip. The bootcamp also includes dedicated modules for data analysis with Python, working with databases, and logging, helping learners connect Python skills to data science and backend engineering tasks.
    Downloads: 0 This Week
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  • 19
    PDFMathTranslate

    PDFMathTranslate

    PDF scientific paper translation with preserved formats

    PDFMathTranslate is a Python-based tool that uses AI translation to convert academic PDFs into bilingual (e.g. Chinese-English) documents while preserving formatting, including math notation. It supports OCR-enhanced content and offers CLI, GUI, Docker, and Zotero integration under AGPL v3.
    Downloads: 48 This Week
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  • 20
    NumPy

    NumPy

    The fundamental package for scientific computing with Python

    Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today. NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries. The core of NumPy is well-optimized C code. Enjoy the flexibility of Python with the speed of...
    Downloads: 153 This Week
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  • 21
    Qwen-Image-Layered

    Qwen-Image-Layered

    Qwen-Image-Layered: Layered Decomposition for Inherent Editablity

    Qwen-Image-Layered is an extension of the Qwen series of multimodal models that introduces layered image understanding, enabling the model to reason about hierarchical visual structures — such as separating foreground, background, objects, and contextual layers within an image. This architecture allows richer semantic interpretation, enabling use cases such as scene decomposition, object-level editing, layered captioning, and more fine-grained multimodal reasoning than with flat image...
    Downloads: 6 This Week
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  • 22
    Handcalcs

    Handcalcs

    Python library for converting Python calculations into rendered latex

    Handcalcs is a Python library that auto-renders calculation code in Jupyter notebooks or LaTeX documents with step-by-step symbolic substitution, giving output a “handwritten” feel. It supports cell magics and auto-LaTeX generation via configurable output options.
    Downloads: 5 This Week
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  • 23
    LLM-Pruner

    LLM-Pruner

    On the Structural Pruning of Large Language Models

    LLM-Pruner is an open-source framework designed to compress large language models through structured pruning techniques while maintaining their general capabilities. Large language models often require enormous computational resources, making them expensive to deploy and inefficient for many practical applications. LLM-Pruner addresses this issue by identifying and removing non-essential components within transformer architectures, such as redundant attention heads or feed-forward...
    Downloads: 1 This Week
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  • 24
    SymPy

    SymPy

    A computer algebra system written in pure Python

    SymPy is an open source Python library for symbolic mathematics. Its goal is to become a full-featured computer algebra system (CAS) while maintaining the simplicity of its code. Written entirely in Python, SymPy is easy to use, comprehensible and easily extensible. It’s also very lightweight as it solely depends on mpmath, a pure Python library for arbitrary floating point arithmetic. SymPy has participated in every Google Summer of Code since 2007 and because of this has continuously...
    Downloads: 31 This Week
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  • 25
    Ghidra

    Ghidra

    Ghidra is a software reverse engineering (SRE) framework

    Ghidra is a free and open-source reverse engineering framework developed by the NSA for analyzing compiled software. It supports a wide array of instruction sets and executable formats, offering features such as decompilation, disassembly, scripting, and interactive graphing. Designed for security researchers and analysts, Ghidra provides a robust environment for understanding malware, auditing code, and performing software forensics. It includes both GUI-based and headless analysis modes.
    Downloads: 807 This Week
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