Search Results for "low level"
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Showing 113 open source projects for "low level"
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Retrobios
Complete BIOS and firmware packs for RetroArch, Batocera, Recalbox
...It emphasizes simplicity and transparency, allowing developers to study and modify core boot processes at a granular level. The architecture is typically close to bare metal, requiring knowledge of assembly language and hardware interfaces. It may also serve as a foundation for building custom operating systems or experimenting with low-level system design. Overall, retrobios functions as a learning and experimentation platform for understanding foundational computing concepts. -
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Linux insides
A book-in-progress about the Linux kernel and its insides
Linux insides is an extensive open-source educational book project that explores the internal architecture and behavior of the Linux kernel. The repository contains a structured series of chapters that explain low-level topics such as booting, memory management, interrupts, system calls, and synchronization primitives. The project’s stated goal is to share knowledge about Linux kernel internals and related low-level concepts in an accessible narrative format. It is written for readers who already have some familiarity with C and assembly language and want to understand what happens under the hood of Linux. ... -
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CUDA Python
Performance meets Productivity
CUDA Python is a unified Python interface for accessing and working with the NVIDIA CUDA platform, enabling developers to build GPU-accelerated applications entirely in Python. It acts as a metapackage composed of multiple submodules that provide both high-level and low-level access to CUDA functionality, including runtime APIs, driver APIs, and JIT compilation tools. The project is designed to simplify GPU programming by offering Pythonic abstractions while still exposing the full power of CUDA for advanced users. It integrates tightly with the broader Python GPU ecosystem, including Numba for kernel compilation and CCCL for parallel primitives, allowing developers to write performant code without leaving Python. ... -
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TensorFlow
TensorFlow is an open source library for machine learning
...Nodes take tensors—multidimensional arrays—as input and produce tensors as output. The framework allows for these algorithms to be run in C++ for better performance, while the multiple levels of APIs let the user determine how high or low they wish the level of abstraction to be in the models produced. Tensorflow can also be used for research and production with TensorFlow Extended. -
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tiny-llm
A course of learning LLM inference serving on Apple Silicon
...The project is structured as a guided course that walks developers through the process of implementing the core components required to run a modern language model, including attention mechanisms, token generation, and optimization techniques. Rather than relying on high-level machine learning frameworks, the codebase uses mostly low-level array and matrix manipulation APIs so that developers can understand exactly how model inference works internally. The project demonstrates how to load and run models such as Qwen-style architectures while progressively implementing performance improvements like KV caching, request batching, and optimized attention mechanisms. ... -
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LTX-2
Python inference and LoRA trainer package for the LTX-2 audio–video
...The framework targets both interactive graphical applications and media-rich experiences, making it a solid foundation for games, creative tools, or visualization systems that demand both performance and flexibility. While being low-level, it also provides sensible defaults and helper abstractions that reduce boilerplate and help teams maintain clear, maintainable code. -
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pwndbg
Exploit Development and Reverse Engineering with GDB Made Easy
Pwndbg is a fast, simple and lightweight tool for modern debugging. It improves debugging experience with the strength of GDB for low-level software developers, hardware hackers, reverse engineers, and exploit developers. It provides features crucial for efficient debugging in the world of low-level programming. Vanilla GDB is terrible to use for reverse engineering and exploit development. Typing x/g30x $esp is not fun, and does not confer much information. The year is 2024 and GDB still lacks a real hexdump command! ... -
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Substra
Low-level Python library used to interact with a Substra network
An open-source framework supporting privacy-preserving, traceable federated learning and machine learning orchestration. Offers a Python SDK, high-level FL library (SubstraFL), and web UI to define datasets, models, tasks, and orchestrate secure, auditable collaborations. -
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Triton
Development repository for the Triton language and compiler
Triton is a programming language and compiler framework specifically designed for writing highly efficient custom deep learning operations, particularly for GPUs. It aims to bridge the gap between low-level GPU programming, such as CUDA, and higher-level abstractions by providing a more productive and flexible environment for developers. Triton enables users to write optimized kernels for machine learning workloads while maintaining readability and control over performance-critical aspects like memory access patterns and parallel execution. ... -
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LinkdAPI Python
Powerful, lightweight B2B Data API for enriching professional profiles
...The SDK is built to reduce the complexity of working with multiple APIs by offering standardized methods for interacting with different endpoints. It supports rapid development by abstracting low-level implementation details, allowing developers to focus on building features rather than managing connectivity. The project is designed with scalability in mind, making it suitable for both small applications and larger systems that require reliable API orchestration. It also emphasizes maintainability and clarity, ensuring that integrations remain consistent and easy to update over time. -
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PyAV
Pythonic bindings for FFmpeg's libraries
PyAV is a Python library that provides direct bindings to FFmpeg, offering fine-grained control over multimedia processing through a Pythonic interface. It enables developers to work with media containers, streams, packets, codecs, and frames, exposing low-level operations while simplifying some of the complexity of FFmpeg. The library is designed for precise media manipulation, making it suitable for applications that require frame-level access or custom processing pipelines. PyAV integrates well with other Python libraries such as NumPy and Pillow, allowing seamless data transformation and analysis. ... -
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Authlib
The ultimate Python library in building OAuth, OpenID Connect
The ultimate Python library in building OAuth and OpenID Connect servers. Various built-in high-level framework integrations for both clients and servers, aiming to create a seamless experience. Authlib offers generic implementations of RFCs. Supporting a wide range of social network service connections, powered by Loginpass. Authlib is built from low level of specifications to high level of framework integrations. Security matters in Authlib. -
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Dulwich
Pure-Python Git implementation
...Supported Python versions are Python 3.5 and later. Versions of Dulwich prior to 0.20 also supported Python 2.7. Supported platforms include Linux, Mac OS X and Windows. Dulwich comes with both a lower-level API and higher-level plumbing ("porcelain"). By default, Dulwich' setup.py will attempt to build and install the optional C extensions. The reason for this is that they significantly improve the performance since some low-level operations that are executed often are much slower in CPython. -
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ManiSkill
SAPIEN Manipulation Skill Framework
...Developed by Hao Su Lab, it focuses on robotic manipulation with diverse, high-quality 3D tasks designed to challenge perception, control, and planning in robotics. ManiSkill provides both low-level control and visual observation spaces for realistic learning scenarios. -
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hls4ml
Machine learning on FPGAs using HLS
hls4ml is an open-source framework that enables machine learning models to be implemented directly on hardware such as FPGAs and ASICs using high-level synthesis techniques. The system converts trained neural network models from common machine learning frameworks into hardware description code suitable for ultra-low-latency inference. This approach allows machine learning algorithms to run directly on specialized hardware, making them suitable for applications that require extremely fast response times and minimal power consumption. ... -
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JEPA
PyTorch code and models for V-JEPA self-supervised learning from video
JEPA (Joint-Embedding Predictive Architecture) captures the idea of predicting missing high-level representations rather than reconstructing pixels, aiming for robust, scalable self-supervised learning. A context encoder ingests visible regions and predicts target embeddings for masked regions produced by a separate target encoder, avoiding low-level reconstruction losses that can overfit to texture. This makes learning focus on semantics and structure, yielding features that transfer well with simple linear probes and minimal fine-tuning. ... -
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Orca Core
Core Python Controller of the ORCA Hand
Orca Core is the central Python control framework for the ORCA Hand, an open-source dexterous robotic hand designed to replicate human-like manipulation capabilities. It provides a high-level abstraction layer over the underlying hardware, allowing developers to interact with the robotic system through simplified joint-space commands rather than low-level motor instructions. The software includes a suite of scripts for calibration, tensioning, and positioning, ensuring that the physical hand operates accurately and consistently across different configurations. ... -
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Cython
The most widely used Python to C compiler
...Write Python code that calls back and forth from and to C or C++ code natively at any point. Easily tune readable Python code into plain C performance by adding static type declarations, also in Python syntax. Use combined source code level debugging to find bugs in your Python, Cython, and C code. Interact efficiently with large data sets, e.g. using multi-dimensional NumPy arrays. Quickly build your applications within the large, mature, and widely used CPython ecosystem. Integrate natively with existing code and data from legacy, low-level or high-performance libraries and applications. ... -
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uvicorn
An ASGI web server, for Python
Uvicorn is an ASGI web server implementation for Python. Until recently Python has lacked a minimal low-level server/application interface for async frameworks. The ASGI specification fills this gap, and means we're now able to start building a common set of tooling usable across all async frameworks. Uvicorn currently supports HTTP/1.1 and WebSockets. -
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NVIDIA Warp
A Python framework for accelerated simulation, data generation
NVIDIA Warp is a high-performance Python framework developed by NVIDIA for building and accelerating simulation, graphics, and physics-based workloads using GPU computing. It enables developers to write kernel-level code in Python that is automatically compiled into efficient CUDA kernels, combining ease of use with near-native performance. The framework is designed for applications such as robotics, reinforcement learning, physical simulation, and differentiable computing, where performance and flexibility are critical. Warp provides a set of primitives for working with arrays, geometry, and physics operations, allowing users to implement complex simulations without writing low-level CUDA code directly. ... -
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segyio
Fast Python library for SEGY files
Segyio is a small LGPL-licensed C library for easy interaction with SEG-Y and Seismic Unix formatted seismic data, with language bindings for Python and Matlab. Segyio is an attempt to create an easy-to-use, embeddable, community-oriented library for seismic applications. Features are added as they are needed; suggestions and contributions of all kinds are very welcome. -
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furl
The easiest way to parse and modify URLs in Python
furl is a small Python library that makes it easier to parse, inspect, build, and modify URLs without relying on tedious low-level URL handling code. It wraps URL components into convenient objects, so developers can work directly with schemes, usernames, passwords, hosts, ports, paths, queries, and fragments. The library supports simple path editing, query argument changes, fragment manipulation, inline method chaining, and URL joining. It also handles encoding automatically, including percent-encoding, Unicode domains, Unicode paths, and query strings. furl supports Python 3 and PyPy3 and is designed to be well tested and practical for everyday backend, scripting, and data-processing workflows. ... -
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Ludwig AI
Low-code framework for building custom LLMs, neural networks
Declarative deep learning framework built for scale and efficiency. Ludwig is a low-code framework for building custom AI models like LLMs and other deep neural networks. Declarative YAML configuration file is all you need to train a state-of-the-art LLM on your data. Support for multi-task and multi-modality learning. Comprehensive config validation detects invalid parameter combinations and prevents runtime failures. Automatic batch size selection, distributed training (DDP, DeepSpeed),... -
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Slack Machine
A simple, yet powerful and extendable Slack bot
Slack Machine is a simple, yet powerful and extendable Slack bot framework. More than just a bot, Slack Machine is a framework that helps you develop your Slack workspace into a ChatOps powerhouse. Slack Machine is built with an intuitive plugin system that lets you build bots quickly but also allows for easy code organization. A plugin can look as simple as this: -
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Softaworks Agent Skills
A curated collection of skills for AI coding agents
...The toolkit’s modular design follows the Agent Skills format, making it easy for users to install only what’s needed via CLI installers or plugin marketplaces. Because the set spans from low-level utilities like dependency updaters to higher-level planning and communication aids, it can streamline many aspects of a developer’s day-to-day work.
