Search Results for "learning classifier system"
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Showing 45 open source projects for "learning classifier system"
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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.... -
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ANTIRTOS
Function pointers queues classes library for Arduino
...Its simplicity and clarity make it a great starting point for learning real-time systems. -
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LaiNES
Compact cycle-accurate NES emulator
...It also provides savestate functionality that captures the full emulator state, including CPU, graphics, and audio subsystems, allowing users to resume gameplay seamlessly. LaiNES strikes a balance between educational clarity and functional completeness, making it both a learning tool and a usable emulator. -
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QuestDB
An open source SQL database designed to process time series data
QuestDB is a high-performance, open-source SQL database for applications in financial services, IoT, machine learning, DevOps and observability. It includes endpoints for PostgreSQL wire protocol, high-throughput schema-agnostic ingestion using InfluxDB Line Protocol, and a REST API for queries, bulk imports, and exports. QuestDB implements ANSI SQL with native extensions for time-oriented language features. These extensions make it simple to correlate data from multiple sources using... -
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ArrayFire
ArrayFire, a general purpose GPU library
ArrayFire is a general-purpose tensor library that simplifies the process of software development for the parallel architectures found in CPUs, GPUs, and other hardware acceleration devices. The library serves users in every technical computing market. Data structures in ArrayFire are smartly managed to avoid costly memory transfers and to take advantage of each performance feature provided by the underlying hardware. The community of ArrayFire developers invites you to build with us if... -
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AWS IoT FleetWise Edge
AWS IoT FleetWise Edge Agent
Easily collect, transform, and transfer vehicle data to the cloud in near-real-time. AWS IoT FleetWise makes it easy and cost-effective for automakers to collect, transform, and transfer vehicle data to the cloud in near-real-time and use it to build applications with analytics and machine learning that improve vehicle quality, safety, and autonomy. Train autonomous vehicles (AVs) and advanced driver assistance systems (ADAS) with camera data collected from a fleet of production vehicles.... -
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manticoresearch
Easy to use open source fast database for search
Manticore Search is an easy to use open source fast database for search. Modern MPP architecture and smart query parallelization capabilities allow to fully utilize all your CPU cores to lower response time as much as possible, when needed. Powerful and fast full-text searching which works fine for small and big datasets. Columnar storage support via the Manticore Columnar Library for bigger datasets (much bigger than can fit in RAM). SQL-first: Manticore's native syntax is SQL. It speaks... -
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Vosk Speech Recognition Toolkit
Offline speech recognition API for Android, iOS, Raspberry Pi
Vosk is an offline open source speech recognition toolkit. It enables speech recognition for 20+ languages and dialects - English, Indian English, German, French, Spanish, Portuguese, Chinese, Russian, Turkish, Vietnamese, Italian, Dutch, Catalan, Arabic, Greek, Farsi, Filipino, Ukrainian, Kazakh, Swedish, Japanese, Esperanto, Hindi, Czech, Polish. More to come. Vosk models are small (50 Mb) but provide continuous large vocabulary transcription, zero-latency response with streaming API,... -
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Astrape
Optical-packet node transceiver frequency allocation
In an optical network scenario which consists of multiple nodes (whiteboxes) at its edges and ROADMs in-between, the coherent transceiver average laser configuration time is improved. The process is evaluated according to a testbed setup. This is facilitated in the appropriate lab equipment (or via simulation when required). For that purpose, a software agent (Netconf server) residing at the whiteboxes, is developed receiving input from the Software-Defined Networking (SDN) packet... -
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Burn To The Brim
Utility for efficiently grouping files and folders together
**Burn To The Brim** is a highly efficient archiving utility designed to solve the classic subset-sum (bin packing) optimization challenge. It intelligently selects and groups files and directories (documents, high-fidelity media, or raw back-ups) to optimally fill recordable Blu-Rays, USB drives or custom-capacity storage drives. By recursively scanning your designated folders, BTTB matches item sizes to your media capacity, finding a near-perfect selection in milliseconds and an... -
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OnnxStream
Lightweight inference library for ONNX files, written in C++
The challenge is to run Stable Diffusion 1.5, which includes a large transformer model with almost 1 billion parameters, on a Raspberry Pi Zero 2, which is a microcomputer with 512MB of RAM, without adding more swap space and without offloading intermediate results on disk. The recommended minimum RAM/VRAM for Stable Diffusion 1.5 is typically 8GB. Generally, major machine learning frameworks and libraries are focused on minimizing inference latency and/or maximizing throughput, all of which... -
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LAME (Lame Aint an MP3 Encoder)
A high quality MP3 encoder
LAME is an educational tool to be used for learning about MP3 encoding. The goal of the LAME project is to improve the psycho acoustics, quality and speed of MP3 encoding. Note: we provide source code only! -
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Just Use Linux JULinux
A Linux Distribution for Windows Users and Mac users
Goal: Create a Linux distribution that makes it easy and fun for Windows users to upgrade to Linux, without any real learning curve. -
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GPCS4
A work-in-progress PlayStation 4 emulator
A PlayStation 4 emulator which was just started. A project done for fun, and for technical research. The only reason I have started this project is for learning 3D graphics. It's not intended to become a serious application. Support simple compute shader, compute ring, cube maps. For more details you could join our discord server to contact me, or if you are used to Tencent QQ/TIM, just join our group. There you can get more resources which are useful for contributing. To run or develop... -
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This software supports programming Logitech(R) Harmony(TM) remote controls. It provides most of the functionality of the Windows software provided by Logitech(R), but is much smaller and cross-platform. This software allows you to update or backup configurations, upgrade firmware, or do IR-learning. NOTE: Development has moved to github: http://www.github.com/jaymzh/concordance
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pranaOS
Smart Operating System for x86, ARM, Mobile, Watch
pranaOS is a hobby operating system built from scratch in C and C++, intended to teach and demonstrate operating system fundamentals such as process control, memory management, and kernel bootstrapping. It is designed for the x86_64 architecture and features a custom shell, task scheduler, and keyboard driver. With a strong focus on education, pranaOS serves as a base for experimenting with kernel development and learning how different subsystems interact in a functioning OS. -
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DeepSpeech
Open source embedded speech-to-text engine
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers. DeepSpeech is an open-source Speech-To-Text engine, using a model trained by machine learning techniques based on Baidu's Deep Speech research paper. Project DeepSpeech uses Google's TensorFlow to make the implementation easier. A pre-trained English model is available for use and can be downloaded following the... -
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LaPath
Learning Automata algorithm for the shortest path problem.
The shortest path problem is solved by many methods. Heuristics offer lower complexity in expense of accuracy. There are many use cases where the lower accuracy is acceptable in return of lower consumption of computing resources. Learning Automata (LA) are adaptive mechanisms requiring feedback from the executing environment to converge to certain states. In the context of network routing, LA residing at intermediate nodes along a path, exploit feedback from the destination node for... -
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FastoCloud PRO
IPTV/NVR/CCTV/Video cloud https://fastocloud.com
IPTV/Video cloud Features: Cross-platform (Linux, MacOSX, FreeBSD, Raspbian/Armbian) GPU/CPU Encode/Decode/Post Processing Stream statistics CCTV Adaptive hls streams Load balancing Temporary urls HLS push EPG scanning Subtitles to text conversions AD insertion Logo overlay Video effects Relays Timeshifts Catchups Playlists Restream/Transcode from online streaming services like Youtube, Twitch ... -
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DDS Touchstone is a scenario-driven Open Source benchmarking framework for evaluating the performance of OMG DDS compliant implementations. For learning quickly how to use DDS Touchstone please visit http://www.youtube.com/user/OpenSpliceTube
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NiceShaper - Dynamic Traffic Shaper
NiceShaper provides dynamic traffic shaping for Linux router
NiceShaper is the program developed for Linux router environment. It works in user space on top of standard Linux QOS implementation and iptables. By default, a proven HTB algorithm is used for the root, inner, and leaf classes, SFQ packets scheduling algorithm is the default queuing discipline (qdisc) contained within each of leaf classes, U32 and FW are used as the packets classifiers. NiceShaper provides dynamic traffic shaping approach which is more effective than traditional shaping... -
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Genetic Programming Classifier is a distributed evolutionary data classification program. It uses the ensemble method implemented under a parallel co-evolutionary Genetic Programming technique.
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AHANNS
AHANNS - Amateur Homemade Artificial Neural Network Simulator
AHANNS enables the user to create and train artificial neural networks. Training is carried out by an implementation of back propagation learning algorithm. See the documentation for details. This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be... -
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Simple Huffman Coder
Simple huffman coder for learning purposes
This project is built for learning purposes so it's implementation is kept simple and easy to read. It has two functions to either encode or decode a file with the expectation that you will modify it to suite your needs best. -
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FPGAsm
Create fast bare-metal FPGA designs without Verilog or VHDL
FPGAsm is a low-level alternative to verilog and VHDL. A near-instant 'assembler for FPGAs', this simple yet powerful language facilitates bottom-up design, layout and wiring of modules, and generation of .xdl output. With about 10 keywords to learn, you can start making circuits in minutes. Now you can focus on learning the ins and outs of the FPGA instead of complex tools and languages. Fast turnaround time and bottom-up approach invite exploration, experimentation, live circuit...
