Search Results for "learning"
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Showing 308 open source projects for "learning"
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Learning Bitcoin from the Command Line
A complete course for learning Bitcoin programming and usage
Learning Bitcoin from the Command Line is a tutorial for working with Bitcoin (and Lightning) that teaches direct interaction with the servers themselves, as the most robust and secure way to begin cryptocurrency work. This is a draft in progress, so that I can get some feedback from early reviewers. It is not yet ready for use. Learning Bitcoin from the Command Line is a project of Blockchain Commons. -
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LearnOpenCV
C++ and Python Examples
LearnOpenCV is a large educational repository that provides practical computer vision and deep learning examples in both Python and C++. The project accompanies the LearnOpenCV blog and contains hundreds of hands-on tutorials covering topics such as object detection, image processing, pose estimation, and neural networks. It is structured as a learning resource where each directory corresponds to a specific article or technical walkthrough. -
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whisper.cpp
Port of OpenAI's Whisper model in C/C++
whisper.cpp is a lightweight, C/C++ reimplementation of OpenAI’s Whisper automatic speech recognition (ASR) model—designed for efficient, standalone transcription without external dependencies. The entire high-level implementation of the model is contained in whisper.h and whisper.cpp. The rest of the code is part of the ggml machine learning library. The command downloads the base.en model converted to custom ggml format and runs the inference on all .wav samples in the folder samples. whisper.cpp supports integer quantization of the Whisper ggml models. Quantized models require less memory and disk space and depending on the hardware can be processed more efficiently. -
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The Operator Splitting QP Solver
The Operator Splitting QP Solver
OSQP uses a specialized ADMM-based first-order method with custom sparse linear algebra routines that exploit structure in problem data. The algorithm is absolutely division-free after the setup and it requires no assumptions on problem data (the problem only needs to be convex). It just works. OSQP has an easy interface to generate customized embeddable C code with no memory manager required. OSQP supports many interfaces including C/C++, Fortran, Matlab, Python, R, Julia, Rust. -
Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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MLX42
Codam's own fixed, functioning alternative of the miniLibX
MLX42 is a modern C graphics and windowing library built on top of GLFW and inspired by the original MLX library used in 42 school projects. It aims to provide a higher-level, beginner-friendly abstraction for students learning about graphical programming, while also embracing modern practices like event-driven input, texture rendering, and transparency. MLX42 is structured to reduce boilerplate and simplify the creation of games or interactive applications in C, making it an excellent learning and teaching tool for graphics programming fundamentals. -
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Zstandard
Zstandard - Fast real-time compression algorithm
Zstandard is a fast compression algorithm, providing high compression ratios. It also offers a special mode for small data, called dictionary compression. The reference library offers a very wide range of speed / compression trade-off, and is backed by an extremely fast decoder (see benchmarks below). Zstandard library is provided as open source software using a BSD license. Its format is stable and published as IETF RFC 8478. The negative compression levels, specified with --fast=#, offer... -
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libvips
A fast image processing library with low memory needs
libvips is a demand-driven, horizontally threaded image processing library. Compared to similar libraries, libvips runs quickly and uses little memory. libvips is licensed under the LGPL 2.1+. It has around 300 operations covering arithmetic, histograms, convolution, morphological operations, frequency filtering, colour, resampling, statistics and others. It supports a large range of numeric types, from 8-bit int to 128-bit complex. Images can have any number of bands. It supports a good... -
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Pony OS
My Little Unix: Kernels are Magic
ponyos is a lightweight, UNIX-like operating system developed as a personal hobby project by the creator of ToaruOS. It features a monolithic kernel written in C and aims for a POSIX-compliant environment with a built-from-scratch userland. ponyos includes a graphical interface, dynamic linker, shared libraries, and a package manager. It’s designed for fun, experimentation, and as a platform to learn and play with operating system internals, with surprisingly advanced features given its... -
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Paper Mario
Decompilation of Paper Mario (Nintendo 64)
...Contributors work collaboratively to translate assembly code into readable C while maintaining functional accuracy. The project supports building ROMs for different regional versions of the game. It is widely used as a reference for learning reverse engineering techniques in game development. Overall, it serves as both a preservation effort and an educational resource. -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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sectorlisp
Bootstrapping LISP in a Boot Sector
...It focuses on simplicity, providing a stripped-down interpreter that highlights the fundamental principles of Lisp. The codebase is compact and efficient, showcasing techniques for writing minimal yet functional software. It is often used as a learning tool for understanding interpreters, compilers, and language design. By emphasizing minimalism, it provides insight into how programming languages can be built from first principles. Overall, sectorlisp is a powerful demonstration of simplicity and efficiency in language design. -
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FLUX.2-klein-4B
Flux 2 image generation model pure C inference
FLUX.2-klein-4B is a compact, high-performance C library implementation of the Flux optimization algorithm — an iterative approach for solving large-scale optimization problems common in scientific computing, machine learning, and numerical simulation. Written with a strong emphasis on simplicity, correctness, and performance, it abstracts the core logic of flux-based optimization into a minimal C API that can be embedded in broader applications without pulling in heavy dependencies. Because the implementation is in plain C and focuses on data locality and vectorized operations, flux2.c can be integrated into performance-critical code paths where control over memory layout and execution behavior matters, such as GPU kernels, embedded systems, or custom ML runtime engines. -
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MuJoCo
Multi-Joint dynamics with Contact. A general purpose physics simulator
MuJoCo, developed and maintained by Google DeepMind, is a high-performance physics engine designed for simulating complex, articulated systems that interact through contact. It is widely used in research fields such as robotics, biomechanics, computer graphics, animation, and machine learning, where fast and accurate physics simulations are essential. The engine provides a robust C API optimized for real-time computation, making it suitable for scientific research and advanced simulation environments. MuJoCo’s core architecture is performance-tuned and utilizes preallocated data structures created through an XML-based compiler. ... -
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CoolPotOS
CoolPotOS for ia32 / amd64
...Written in C and Assembly, it focuses on bootstrapping, kernel entry, and simple console output. Though in early stages, CoolPotOS showcases the boot process, memory segmentation, and essential CPU features, serving as a great learning resource for those new to operating system internals. -
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Kilo
A text editor in less than 1000 LOC with syntax highlight and search
...It deliberately avoids external dependencies, not even using curses; instead it talks directly to the terminal using VT100 escape sequences, making it portable to most Unix-like systems with a compatible terminal. Because the codebase is compact and well-structured, it has become a popular teaching and learning resource, inspiring tutorials such as “Build Your Own Text Editor” that walk through implementing Kilo step by step. -
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PortableGL
An implementation of OpenGL 3.x-ish in clean C
PortableGL is a single-header, software-only implementation of a subset of OpenGL (specifically the GL 2.1 pipeline), designed to run entirely on the CPU. This lightweight graphics library allows OpenGL-style rendering without GPU acceleration, making it ideal for educational use, debugging, embedded systems, and retro-style software rendering. Because it mirrors OpenGL syntax and design, it can act as a drop-in CPU renderer for testing or deploying 3D graphics on platforms without GPU support. -
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Kimi K3 in C
A 2.78-trillion-parameter Kimi K3 running inference on a single CPU
Kimi K3 in C is a portable C99 inference engine built to run the 2.78-trillion-parameter Kimi K3 model on CPUs without BLAS, machine-learning frameworks, or GPUs. It demonstrates inference from a roughly 1.56 TB checkpoint with measured memory use as low as 8.24 GB. The runtime streams model trunk layers and routed experts from disk instead of keeping all weights resident in memory. Memory presets balance pinned layers and an expert LRU cache for laptops, desktops, workstations, and servers. ... -
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TDengine
Open-source time-series database with high-performance and scalability
...Nodes can be added through simple configuration to achieve greater data processing power. In addition, this feature is open source. TDengine uses SQL as the query language, thereby reducing learning and migration costs, while adding SQL extensions to handle time-series data better, and supporting convenient and flexible schemaless data ingestion. -
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Fiwix
A UNIX-like kernel for the i386 architecture
...It implements many classic UNIX principles and aims to provide a clean, well-documented codebase that is both readable and easy to study. Fiwix offers a functional kernel that supports ELF binaries, a virtual file system, and standard system calls, making it a great platform for learning OS internals or experimenting with system-level programming. Its minimalist design helps users understand how key components like multitasking, filesystems, and memory management work under the hood. -
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Nightingale OS
A small operating system where I experiment and learn osdev
nightingale is a modern hobby operating system developed in Rust, focusing on safety, simplicity, and minimalism. It aims to be a clean platform for experimentation and learning, implementing a small kernel with core features like multitasking, memory protection, and a minimal filesystem. Its use of Rust provides strong guarantees around memory safety and eliminates common bugs found in low-level C-based systems. nightingale is ideal for those seeking to study OS development using a modern language with a strong safety model. -
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Guitar
Git GUI Client
...It was said that the production was overkill and the wizard and the source code were not published. I tried to eliminate such inconvenience as much as possible. At first I started developing it for my own study, because I was interested in learning how to use Git and how it worked inside. Some of the best engineers of the time may think Git in GUI. That's a lot of it. When I want to execute a command that I rarely use, I sometimes force myself to do not rely on the GUI, open the terminal and hand enter the git command. If you find a feature that you find useful, you can incorporate it into this app. ... -
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ZealOS
Fork of the 64-bit Temple Operating System, TempleOS
...ZealOS focuses on transparency, user control, and simplicity, striving to create an accessible and comprehensible operating system. It serves as both a functional OS and a platform for learning about system design and development. -
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Flecs
A fast entity component system (ECS) for C & C++
Flecs is a fast and lightweight Entity Component System that lets you build games and simulations with millions of entities (join the Discord!). Here are some of the framework's highlights. Fast zero dependency C99 API. Modern type-safe C++11 API that doesn't use STL containers. Minimal ECS core with optional addons. Entire codebase builds in less than 5 seconds. Runs in the browser without modifications with emscripten. Cache-friendly archetype/SoA storage that can process millions of... -
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uemacs
Random version of microemacs with my private modificatons
...The project serves as both a functional tool and an example of clean, old-school C systems programming. Because the editor is small, users can understand and modify it more easily than sprawling IDEs, which is appealing for hacking and learning. It’s not meant to compete with modern extensible editors; it exists as a minimal, dependable workhorse that starts fast and stays out of the way. -
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MentOS
An educational 32-bit linux-like Operating System
...Written in C, MentOS closely mimics a simplified Unix-like OS and includes hands-on implementations of key kernel features. Designed to be highly readable and modular, it offers a practical approach to learning systems programming through real-world kernel components, making it a valuable tool for operating system courses and personal exploration. -
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libfabric
AWS Libfabric
...Its custom-built operating system (OS) bypass hardware interface enhances the performance of inter-instance communications, which is critical to scaling these applications. With EFA, High Performance Computing (HPC) applications using the Message Passing Interface (MPI) and Machine Learning (ML) applications using NVIDIA Collective Communications Library (NCCL) can scale to thousands of CPUs or GPUs. As a result, you get the application performance of on-premises HPC clusters with the on-demand elasticity and flexibility of the AWS cloud.
