Search Results for "machine" - Page 19
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Showing 1802 open source projects for "machine"
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ARC-AGI
The Abstraction and Reasoning Corpus
...The dataset is structured as grid-based puzzles, where each task requires understanding transformations such as symmetry, counting, or spatial manipulation. Unlike traditional machine learning benchmarks, ARC emphasizes generalization and reasoning over statistical pattern recognition, making it particularly challenging for current AI systems. The repository also includes a browser-based interface that allows humans to attempt solving the tasks manually, providing a baseline for comparison. -
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Django friendly finite state machine
Django friendly finite state machine support
Django-fsm adds simple declarative state management for Django models. If you need parallel task execution, view, and background task code reuse over different flows - check my new project Django-view flow. Instead of adding a state field to a Django model and managing its values by hand, you use FSMField and mark model methods with the transition decorator. These methods could contain side effects of the state change. You may also take a look at the Django-fsm-admin project containing a... -
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MOA - Massive Online Analysis
Big Data Stream Analytics Framework.
...Includes classification, regression, clustering, outlier detection and recommender systems. Related to the WEKA project, also written in Java, while scaling to adaptive large scale machine learning. -
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MIR
A lightweight JIT compiler based on MIR
MIR means Medium Internal Representation. MIR project goal is to provide a basis to implement fast and lightweight interpreters and JITs. Plans to try MIR light-weight JIT first for CRuby or/and MRuby implementation. Each module can contain functions and declarations and data. Each function has a signature (parameters and return types), local variables (including function arguments) and instructions. Each local variable has a type which can be only a 64-bit integer, float, double, or long... -
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Wheefun Graphics Library
Portable Graphics Primitives
...WFGFX at its core provides interfaces for manipulating both raster and vector images through an abstract graphics context; in many cases, several low-level primitives exist for more direct manipulation. It is designed to be easily ported to other programming environments like .NET and the Java Virtual Machine, making the codebase reusable as a result. -
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MegEngine
Easy-to-use deep learning framework with 3 key features
MegEngine is a fast, scalable and easy-to-use deep learning framework with 3 key features. You can represent quantization/dynamic shape/image pre-processing and even derivation in one model. After training, just put everything into your model and inference it on any platform at ease. Speed and precision problems won't bother you anymore due to the same core inside. In training, GPU memory usage could go down to one-third at the cost of only one additional line, which enables the DTR... -
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iOS-10-Sampler
Code examples for new APIs of iOS 10
...It was created for Xcode 8 and requires a physical iOS device because some examples use Metal. The project covers speech recognition, looped video playback, Live Photo capture, and audio volume fading. Its graphics and machine learning samples use Metal Performance Shaders for handwritten digit detection and real-time image recognition. Interface examples demonstrate UIViewPropertyAnimator, interactive blur progress, and 3D Touch preview interactions. It also includes image-rich local notifications, an iMessage sticker pack, and a simplified Core Data stack based on NSPersistentContainer. ... -
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applied-ml
Papers & tech blogs by companies sharing their work on data science
The applied-ml repository is a rich, curated collection of papers, technical articles, and case-study blog posts about how machine learning (ML) and data-driven systems are applied in real production environments by major companies. Instead of focusing solely on theoretical ML research, this repo highlights industry-scale challenges: data collection, quality, infrastructure, feature stores, model serving, monitoring, scalability, and how ML is embedded in product workflows. -
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pFFh
a self-contained development environment for embedded systems.
pFFh is a programming language that allows you to launch applications on embedded systems safely, quickly and comfortably. pFFh runs on the target system, combining operation as a command interpreter and code compiler. We can say that pFFh behaves like an operating system on the board under development. All pFFh needs is a serial or USB-serial channel to communicate, and through it, receive and process console commands, either from a keyboard or from files sent from a desktop computer. At... -
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BinExport
Export disassemblies into Protocol Buffers
...This exported data can then be used for binary comparison, diffing, and advanced analysis tasks through BinDiff or other compatible tools. BinExport captures detailed information such as instructions, functions, control flow graphs, and metadata, providing a machine-readable representation of a program’s disassembled structure. It supports multiple export formats, including binary, text, and statistics outputs, and can be used interactively or via scripting (IDC, IDAPython, or Ghidra’s headless mode). The project includes complete build instructions for Linux, macOS, and Windows, ensuring reproducibility across platforms. -
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Iris Web Framework
The fastest community-driven web framework for Go
...It is also fully-compatible with the standard library and 3rd-party middleware packages. Iris is open source and cross-platform, so you can write once and run anywhere with minimum machine power. -
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Prompt Engineering Interactive Tutorial
Anthropic's Interactive Prompt Engineering Tutorial
...Lessons include building prompts from scratch for common tasks like extraction, classification, transformation, and step-by-step reasoning, with checkpoints that let you compare your outputs against solid baselines. You’ll also practice advanced patterns such as tool use, constrained generation, and response validation so outputs are trustworthy and machine-consumable. -
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Mathias’s dotfiles
Sensible hacker defaults for macOS
...It serves as both a personal environment setup and a reference for what a well-tuned macOS / Unix developer workspace can look like. The repo includes scripts to bootstrap a fresh machine—symlinking files into home, applying default system settings for macOS via a .macos script, and installing or provisioning tools. While it reflects Mathias’s preferences, it’s intended for developers to fork, inspect, and adapt their own environment settings rather than blindly copy. The repository has gained wide attention as an exemplar of dotfile organization and automation of environment setup. ... -
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OneFlow
OneFlow is a deep learning framework designed to be user-friendly
...It adheres to the core concept and architecture of static compilation and streaming parallelism and solves the memory wall challenge at the cluster level. world-leading level. Provides a variety of services from primary AI talent training to enterprise-level machine learning lifecycle integrated management (MLOps), including AI training and AI development, and supports three deployment modes of public cloud, private cloud and hybrid cloud. -
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TraceMAC - Traceroute for MAC addresses
TraceMAC is a command-line Layer 2 traceroute for Cisco switches
TraceMAC is a Windows/Linux command-line tool that allows you to trace a specific MAC address thru Cisco switches. It works by connecting to a switch using SSH, SNMP, Telnet, HTTP or HTTPS and do some "show commands" and later process the output, this will happen recursively until it finds the switch where that MAC address (PC/Printer/Etc) is directly connected. Note: It works with Cisco switches only and you must have CDP enabled at least on trunks/links between switches! Is tested... -
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Loggie
A lightweight, cloud-native data transfer agent and aggregator
...Loggie includes LogConfig/ClusterLogConfig/Interceptor/Sink CRDs, allowing for the creation of data collection, transfer, processing, and sending pipelines through simple YAML file creation. Supports deployment as an independent intermediate machine, which can receive aggregated data sent by Loggie Agent and can also be used to consume and process various data sources. Configure Filebeat and Loggie to collect logs, and send them to a Kafka topic without using client compression, with the Kafka topic partition configured as 3. With sufficient resources for the Agent specification, modify the number of files collected, the concurrency of the sending client (configure Filebeat worker and Loggie parallelism), and observe their respective CPU, memory, and pod network card transmission rates. -
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IElixir
Jupyter's kernel for Elixir programming language
...Name of the package honours remarkable chemist, Robert Boyle. This package allows you to manage your Elixir virtual enviromnent without need of restarting erlang virtual machine. Boyle installs environment into ./envs/you_new_environment directory and creates new mix project there with requested dependencies. It keeps takes care of fetching, compiling and loading/unloading modules from dependencies list of that environment. -
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TorchQuantum
A PyTorch-based framework for Quantum Classical Simulation
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers. Researchers on quantum algorithm design, parameterized quantum circuit training, quantum optimal control, quantum machine learning, and quantum neural networks. Dynamic computation graph, automatic gradient computation, fast GPU support, batch model terrorized processing. -
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NvChad
Blazing fast Neovim config providing solid defaults and a beautiful UI
...Lazy loading is done 93% of the time meaning that plugins will not be loaded by default, they will be loaded only when required also at specific commands, events etc. This lowers the start time and it was like 0.07~ secs tested on an old Pentium machine 1.4ghz + 4gb ram & HDD. NvChad is supposed to be used with its starter config, so nvchad main repo ( this repo ) can be imported as a plugin via lazy's import feature and then you can easily use this repo's modules like autocmds etc. -
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MATLAB and Simulink for Students
An awesome list of helpful resources for students learning MATLAB
Are you a new MATLAB user seeking helpful tips and tricks? Are you a member of a student society in search of engaging workshops? Or perhaps you're looking for opportunities to test your MATLAB skills through student competitions or challenges? Look no further! Our awesome list repository below is a resource that caters to all these needs. Whether you're starting from scratch or aiming to enhance your existing knowledge, you'll find a wealth of information to help you learn MATLAB and make... -
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iced
Blazing fast and correct x86/x64 disassembler, assembler, decoder, etc
...It is commonly used in tools for debugging, reverse engineering, and binary analysis. Overall, iced provides a comprehensive solution for working with low-level machine code in modern software systems. -
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VIC-2020 MINIMON Cartridge
Machine Language Monitor for Commodore VIC-20
MINIMON is a Machine Language Monitor for the Commodore VIC-20. It is a combined hardware/software project: a cartridge for the computer's expansion port (with a cartridge extender for a secondary cartridge), plus firmware, which is the actual MINIMON monitor. MINIMON features all commands usually expected from a debugger/monitor: Memory dump and edit, Register dump and edit, Execute code from monitor, Direct Assembler and Disassembler (all documented opcodes of the NMOS 6502), Transfer/Compare/Fill/Hunt in memory blocks, Use of breakpoints with the BRK instruction, Load/Save/Verify with any storage device. ... -
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GPUImage 3
GPUImage 3 is a BSD-licensed Swift framework for GPU-accelerated video
...It is the third generation of the GPUImage project and replaces the earlier OpenGL-based approach with Apple’s Metal framework. The library aims to make real-time video processing and machine vision easier by hiding much of the GPU rendering boilerplate. It supports image and video sources, custom shader-based processing, and filter pipelines. Its API is intended to stay close to GPUImage2 so projects can migrate with less friction where possible. It is useful for Apple-platform developers building camera effects, visual filters, real-time image analysis, and Metal-based media processing tools. -
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A Virtual Machine based on a Simplified Instructional Computer (SIC). The Machine will emulate all the hardware of a SIC and will be able to run any program that is written for the SIC as described by Leland L.Beck in his book "System Software"
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Asm-Dude
Visual Studio extension for syntax highlighting assembly
...This extension can be found in the visual studio extensions gallery or download latest installer AsmDude.vsix (v1.9.6.14). If assembly is too much of a hassle but you still want access to specific machine instructions, consider Intrinsics-Dude. The instruction sets of the x86 and the x64, but also SSE, AVX, AVX2, Xeon-Phi (Knights Corner) instructions with their descriptions are provided. Most of the regularly used Masm directives are supported and some Nasm directives. If you are not happy with highlighting or the descriptions. ...
