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Must-Watch JavaScript
JavaScript talks you have to see on functional programming
Must-Watch JavaScript is a curated list of high-quality talk videos, tutorials, and presentations about JavaScript — covering a variety of topics such as language features, best practices, frameworks, performance, tooling, and evolving JS ecosystem trends. Rather than being code-heavy, it serves as a learning resource for developers who want to gain conceptual wisdom, stay updated with JavaScript evolution, or learn from experts’ experiences and opinions. For someone who wants to deepen... -
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CSS Protips
A collection of tips to help take your CSS skills pro
The CSS Protips repository is a pragmatic and well-organized collection of tips, tricks, and best practices for writing and structuring CSS — going beyond basic styling to cover nuanced behaviors, performance considerations, cross-browser compatibility, and modern CSS features. It’s aimed at web developers who already know the basics of CSS but want to level up to writing more maintainable, robust, and scalable style sheets. Instead of reinventing styling for each project, css-protips... -
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Open LLMs
A list of open LLMs available for commercial use
Open LLMs, by the same author behind applied-ml — serves as a curated directory of open large language models (LLMs) that are available for commercial or open-source use. Rather than proprietary or closed-source LLMs, this repo focuses on freely available or permissively licensed models that practitioners can download, run, fine-tune or integrate without restrictive licensing. For teams or developers interested in experimenting with LLMs but wanting to avoid vendor lock-in or licensing... -
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Python-Spider
Python3 web crawler practice
Python-Spider is a repository intended to teach or provide examples for writing web spiders / crawlers in Python — part of a broader learning and resource collection by its author. The code and documentation are oriented toward beginners or intermediate learners who want to learn how to fetch, parse, and extract data from websites programmatically. As part of the author’s public learning-path repositories, python-spider likely includes examples of HTTP requests, HTML parsing, maybe... -
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ChromeAppHeroes
Chinese manual for excellent Chrome plug-ins
ChromeAppHeroes appears to be a repository with sample or template Chrome apps/extensions — perhaps intended to help developers learn how to build Chrome applications, quick prototypes, or small utilities. As such, it likely includes boilerplate code, manifest definitions, example UI components, and sample functionality (e.g. browser-action buttons, content scripts, background scripts) to illustrate how to structure a Chrome app. For learners or developers new to Chrome extension/app... -
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Libros de Programación en Español
List of programming books in Spanish for free
Libros de Programación en Español is a curated list of free programming books in Spanish, organized by topic and technology so learners can find high-quality materials without cost. The README is structured as an index with general programming books, followed by sections for specific languages such as JavaScript, TypeScript, Python, Ruby, Rust, PHP, Haskell, Go, Kotlin, Java, and R.Each entry includes the book title, author, and a link to the official or legal free version (PDF, HTML, eBook,... -
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Zsh for Humans
A turnkey configuration for Zsh
Zsh for Humans is a turnkey Zsh configuration that aims to give users a powerful, feature-rich shell “that just works” out of the box. Instead of requiring you to pick and wire together many plugins and themes yourself, it bundles a curated set of Zsh plugins and settings into a coherent, production-ready configuration. The project handles prompt customization, completions, key bindings, history management, and Git integration for you, all tuned for responsiveness and low latency. It is... -
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Professional Programming
A collection of learning resources for curious software engineers
Professional Programming is a long-running, curated collection of learning resources aimed at helping software engineers grow into well-rounded professionals. It goes far beyond basic “learn to code” material and covers topics like system design, debugging, testing, performance, security, architecture, and software craftsmanship. The list is organized by themes such as coding, design, operations, communication, and career, making it easy to dive into specific aspects of engineering practice.... -
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File Nesting Config for VS Code
Config of File Nesting for VS Code
This project provides a curated configuration snippet for the file-nesting feature of Visual Studio Code, authored by Anthony Fu (antfu). The goal is to help developers organize large code-bases by collapsing “secondary” or generated files (for example build artifacts, tests, config variants) under their primary files in the Explorer tree. It supports VS Code version 1.67 and above by enabling the built-in "explorer.fileNesting" setting. It is somewhat opinionated, offering a broad list of... -
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Parser for Rust source code
Parser for Rust source code
Parser for Rust source code is a major Rust crate for parsing Rust source code (token streams) into a syntax tree (AST) that procedural macros can inspect or transform. The primary target is macro authors: you can parse TokenStreams into syn::File, syn::Item, syn::Expr, syn::Type, etc. It offers rich data structures, fine-grained parsing, span tracking (for error reporting), traversal and mutation APIs (visit, fold, visit_mut), printing back to tokens, and strong feature-gating so you only... -
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Anyhow
Flexible concrete Error type built on std::error::Error
This is a Rust library (crate) that provides a flexible, concrete error type built atop the standard std::error::Error trait. Its primary goal is to make error handling in applications easy: instead of defining lots of custom error types, you can use anyhow::Error (or the alias anyhow::Result<T>) for fallible functions. The crate supports attaching context to errors, so you can convert a low-level error (like “file not found”) into one with richer diagnostics (“Failed to read instructions... -
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LLM Datasets
Curated list of datasets and tools for post-training
LLM Datasets curates and standardizes datasets commonly used to train and fine-tune large language models, reducing the overhead of hunting down sources and normalizing formats. The repository aims to make datasets easy to inspect and transform, with scripts for downloading, deduping, cleaning, and converting to formats like JSONL that slot into training pipelines. It highlights instruction-tuning and conversation-style corpora while also pointing to code, math, or domain-specific sets for... -
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react-error-boundary
Simple reusable React error boundary component
react-error-boundary is a tiny, well-tested utility that makes React’s error boundaries practical and ergonomic for everyday apps. It wraps React’s error-handling primitives in a single <ErrorBoundary> component with a predictable API for rendering fallbacks when descendant components throw during render, lifecycle, or event handlers. The library emphasizes recovery, not just failure: you can reset the error state programmatically or when certain “reset keys” change, returning the subtree to... -
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Playground Cheatsheet for Python
Playground and cheatsheet for learning Python
learn-python is another repository by Oleksii Trekhleb that serves as both a playground and an interactive cheatsheet for learning Python. It contains numerous Python scripts organized by topic (lists, dictionaries, loops, functions, classes, modules, etc.), each with code examples, explanations, test assertions, and links to further readings. The design supports “learn by doing”: you can modify the code, run the tests, see how behavior changes, and thus internalize Python language features,... -
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Homemade Machine Learning
Python examples of popular machine learning algorithms
homemade-machine-learning is a repository by Oleksii Trekhleb containing Python implementations of classic machine-learning algorithms done “from scratch”, meaning you don’t rely heavily on high-level libraries but instead write the logic yourself to deepen understanding. Each algorithm is accompanied by mathematical explanations, visualizations (often via Jupyter notebooks), and interactive demos so you can tweak parameters, data, and observe outcomes in real time. The purpose is... -
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Schema.DTS
JSON-LD TypeScript types for Schema vocabulary
The project provides a comprehensive set of TypeScript typings based on the Schema vocabulary, enabling developers to author JSON-LD structured data with strong type safety. It supplies both high-level discriminated unions and helper types to model contexts, graphs, and linked data relationships with clarity and accuracy. Usage examples demonstrate how one can import types like Person, WithContext, or Graph and compose JSON-LD objects in a way that aligns with semantic-web and... -
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Certificate Transparency Go
Auditing for TLS certificates (Go code)
certificate-transparency-go is a Go codebase for building and interacting with Certificate Transparency (CT) systems, from low-level parsing to full log operation. It includes forked ASN.1 and X.509 packages tailored to accept and analyze real-world certificates, including pre-certificates that stricter libraries would reject, supporting CT’s role as an ecosystem observatory. A TLS parsing library, CT data types, and multiple client libraries enable access to CT logs over HTTP and DNS, along... -
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NSync
nsync is a C library that exports various synchronization primitives
nsync is a portable C library that provides a collection of advanced synchronization primitives designed to facilitate safe and efficient multithreaded programming. It offers reader-writer locks, condition variables, run-once initialization, waitable counters, and waitable bits for coordination and cancellation between threads. Unlike traditional pthreads-based synchronization, nsync introduces conditional critical sections, allowing developers to wait for arbitrary conditions without... -
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CO3D (Common Objects in 3D)
Tooling for the Common Objects In 3D dataset
CO3Dv2 (Common Objects in 3D, version 2) is a large-scale 3D computer vision dataset and toolkit from Facebook Research designed for training and evaluating category-level 3D reconstruction methods using real-world data. It builds upon the original CO3Dv1 dataset, expanding both scale and quality—featuring 2× more sequences and 4× more frames, with improved image fidelity, more accurate segmentation masks, and enhanced annotations for object-centric 3D reconstruction. CO3Dv2 enables research... -
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fvcore
Collection of common code shared among different research projects
fvcore is a lightweight utility library that factors out common performance-minded components used across Facebook/Meta computer-vision codebases. It provides numerics and loss layers (e.g., focal loss, smooth-L1, IoU/GIoU) implemented for speed and clarity, along with initialization helpers and normalization layers for building PyTorch models. Its common modules include timers, logging, checkpoints, registry patterns, and configuration helpers that reduce boilerplate in research code. A... -
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Starter Applets
Google AI Studio Starter Apps
starter-applets is a collection of minimal, sandboxed example “applets” that demonstrate how to compose Gemini-powered microapps (chat widgets, image generation, workflows) that can be embedded in other applications or used standalone. The applets are structured with a focus on simplicity: each presents a prompt input, minimal UI logic, and inline display of the resulting output or widget (e.g. generated text, images). They are built to illustrate best practices (e.g. safety guards, prompt... -
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FlashMLA
FlashMLA: Efficient Multi-head Latent Attention Kernels
FlashMLA is a high-performance decoding kernel library designed especially for Multi-Head Latent Attention (MLA) workloads, targeting NVIDIA Hopper GPU architectures. It provides optimized kernels for MLA decoding, including support for variable-length sequences, helping reduce latency and increase throughput in model inference systems using that attention style. The library supports both BF16 and FP16 data types, and includes a paged KV cache implementation with a block size of 64 to... -
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Infosec Reference
An Information Security Reference That Doesn't Suck
Infosec Reference is a curated knowledge base and resource repository for information security practitioners. It aggregates cheat sheets, tooling guides, protocol deep dives, incident response playbooks, and threat actor profiles—all organized under accessible categories (network, web, host, cryptography, auditing). The repo is built as a living wiki of sorts: practitioners contribute updates, expand sections, or refine explanations as the threat landscape evolves. Because security spans... -
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hithesis
LaTeX thesis template package for Harbin Institute of Technology
hithesis is a LaTeX thesis template tailored to the formatting requirements of Harbin Institute of Technology, covering undergraduate, master’s, and doctoral submissions. It provides class files and examples that handle title pages, abstracts in multiple languages, acknowledgments, lists of figures/tables, symbols, and properly styled chaptering. The template includes bibliography settings and citation styles that conform to school rules, along with ready-made environments for formulas,... -
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Cats Effect
The pure asynchronous runtime for Scala
Cats-Effect is a high-quality functional programming library for Scala that provides a principled way to represent and manage side effects, particularly asynchronous and concurrent computations. It is part of the broader Typelevel ecosystem and builds on the abstractions from Cats (such as Functor, Monad, etc.). The core abstraction is the IO type (or effect types more generally), which encodes effectful computations in a pure, referentially transparent way. Cats-Effect offers capabilities...
