Search Results for "learning" - Page 4
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Showing 146 open source projects for "learning"
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Demo Series - Small Business Backup By VeeamWatch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Resea
A microkernel-based hackable operating system
...Written in C with minimal dependencies, it emphasizes modularity, isolation, and simplicity. resea includes a basic POSIX-like interface and supports multitasking, IPC, and user-space services. It serves as both a microkernel OS experiment and a platform for learning about low-level system design without the complexity of larger operating systems. -
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BerryNet
Deep learning gateway on Raspberry Pi and other edge devices
This project turns edge devices such as Raspberry Pi into an intelligent gateway with deep learning running on it. No internet connection is required, everything is done locally on the edge device itself. Further, multiple edge devices can create a distributed AIoT network. At DT42, we believe that bringing deep learning to edge devices is the trend towards the future. It not only saves costs of data transmission and storage but also makes devices able to respond according to the events shown in the images or videos without connecting to the cloud. ... -
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Emerald
An operating system written in C
emerald is a minimalistic Unix-like operating system kernel developed for x86_64 systems, focused on being lightweight, modular, and understandable. Written in C and assembly, emerald serves as a learning tool for OS enthusiasts who want to explore kernel design from scratch. It includes basic components such as multitasking, paging, interrupts, and system calls, while maintaining a clear and concise codebase. Emerald is a strong starting point for building more complex systems or experimenting with new OS features. -
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Keras TCN
Keras Temporal Convolutional Network
TCNs exhibit longer memory than recurrent architectures with the same capacity. Performs better than LSTM/GRU on a vast range of tasks (Seq. MNIST, Adding Problem, Copy Memory, Word-level PTB...). Parallelism (convolutional layers), flexible receptive field size (possible to specify how far the model can see), stable gradients (backpropagation through time, vanishing gradients). The usual way is to import the TCN layer and use it inside a Keras model. The receptive field is defined as the... -
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LaPath
Learning Automata algorithm for the shortest path problem.
...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 reducing, e.g., path's length. According to topology’s resources like the node and edge numbers, the proper number of iterations must be used. ... -
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DeepCluster
Deep Clustering for Unsupervised Learning of Visual Features
DeepCluster is a classic self-supervised clustering-based representation learning algorithm that iteratively groups image features and uses the cluster assignments as pseudo-labels to train the network. In each round, features produced by the network are clustered (e.g. k-means), and the cluster IDs become supervision targets in the next epoch, encouraging the model to refine its representation to better separate semantic groups. -
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Age and Gender Estimation
Keras implementation of a CNN network for age and gender estimation
Keras implementation of a CNN network for age and gender estimation. This is a Keras implementation of a CNN for estimating age and gender from a face image [1, 2]. In training, the IMDB-WIKI dataset is used. Because the face images in the UTKFace dataset is tightly cropped (there is no margin around the face region), faces should also be cropped in demo.py if weights trained by the UTKFace dataset is used. Please set the margin argument to 0 for tight cropping. You can evaluate a trained... -
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vue-element-admin
A magical vue admin
...You need to install node and git locally. The project is based on ES2015+, vue, vuex, vue-router, vue-cli, axios and element-ui, all requested data is simulated using Mock.js. Understanding and learning this knowledge in advance will greatly help the use of this project. This project integrates a lot of features that you may not use, it will cause a lot of code redundancy. If your project does not pay attention to this issue, you can also directly develop it based on it. Otherwise, you can use vue-admin-template. -
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ENAS in PyTorch
PyTorch implementation of "Efficient Neural Architecture Search
ENAS in PyTorch is a PyTorch implementation of Efficient Neural Architecture Search (ENAS), a method that automates the design of neural network architectures through reinforcement learning and parameter sharing. The repository demonstrates how a controller network can explore a large search space and discover high-performing architectures while dramatically reducing the computational cost traditionally associated with neural architecture search. It is primarily intended as a research and educational codebase, helping practitioners understand how ENAS works in practice and how to reproduce results on benchmark datasets. ... -
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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Albedo
A recommender system for discovering GitHub repos
Albedo is an open-source recommender system aimed at helping developers discover GitHub repositories by learning from activity signals. It treats repositories and developers as a graph of interactions and applies large-scale matrix factorization to model affinities, with Apache Spark providing the distributed data processing. The project focuses on implicit feedback—stars, watches, and other engagement metrics—so it can build useful recommendations without explicit ratings. -
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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 Mozaic Many Outputs Physical Inputs Streaming Protocols File Formats Presets Vods/Series server-side support Pay per view channels Channels on demand HTTP Live Streaming (HLS) server-side support Public API, client server communication via JSON RPC Protocol gzip compression Deep learning video analysis Supported deep learning frameworks: Tensorflow NCSDK Caffe ML Hardware: -
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Docker Machine
Machine management for a container-centric world
Docker Machine is a tool that lets you install Docker Engine on virtual hosts, and manage the hosts with docker-machine commands. You can use Machine to create Docker hosts on your local Mac or Windows box, on your company network, in your data center, or on cloud providers like Azure, AWS, or DigitalOcean. Using docker-machine commands, you can start, inspect, stop, and restart a managed host, upgrade the Docker client and daemon, and configure a Docker client to talk to your host. Point... -
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PinPog
Ping-Pong-like game in Assembly that works without OS
...Created by Tsoding, it serves as both a nostalgic recreation of the classic arcade game and a fun educational project demonstrating game development fundamentals such as collision detection, input handling, and frame-based rendering. It’s small in scope but clear in design, making it ideal for those learning C or exploring real-time interactive programming through games. -
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Gameboy.Live
A basic gameboy emulator with terminal "Cloud Gaming" support
A basic gameboy emulator with terminal "Cloud Gaming" support. Gameboy.Live is a Gameboy emulator written in go for learning purposes. You can simply play Gameboy games on your desktop. Or, "Cloud Game" in your terminal with a single command (The demo server is down now, you have to deploy on your own server) You can directly download the executable file from the Release page, or build it from the source. Go Version 1.11 or higher is required. Run go version to check what the version currently installed is. ... -
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Whonix
Whonix is an Anonymous Operating System.
THIS IS NOT WHONIX'S HOMEPAGE. Please go to: https://www.whonix.org/ (This is only Whonix's sourceforge must-have project page.) Whonix is an operating system focused on anonymity, privacy and security. It's based on the Tor anonymity network, Debian GNU/Linux and security by isolation. DNS leaks are impossible, and not even malware with root privileges can find out the user's real IP. Whonix consists of two parts: One solely runs Tor and acts as a gateway, which we call... -
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DIY Arduino Boards IO I2C
DIY Arduino Boards for IO using port expanders and I2C
DIY Arduino Boards PCF8674 MCP23017 74HC595 CD4021 I2C Parallel IO Piezo buzzers See the Files section for a wide range of sensors and sample code Schematics PCB Layout Sample Code -
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Face Recognition
World's simplest facial recognition api for Python & the command line
Face Recognition is the world's simplest face recognition library. It allows you to recognize and manipulate faces from Python or from the command line using dlib's (a C++ toolkit containing machine learning algorithms and tools) state-of-the-art face recognition built with deep learning. Face Recognition is highly accurate and is able to do a number of things. It can find faces in pictures, manipulate facial features in pictures, identify faces in pictures, and do face recognition on a folder of images from the command line. It could even do real-time face recognition and blur faces on videos when used with other Python libraries. -
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Aquila OS
AquilaOS: UNIX-like Operating System
...Designed for x86_64 systems, Aquila includes its own bootloader and supports protected mode operations. It features a modular architecture with components for memory management, interrupts, and basic task scheduling. As a learning tool or hobby OS project, Aquila focuses on clarity, with an emphasis on educational documentation and well-organized code. -
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Thread
Mulithreading Arduno library
Simplest of possible kernel for iterative time division multithreading on smallest AVR boards Arduino. This is a small and adapted part of the future "Like OS". -
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Deep Learning with Keras and Tensorflow
Introduction to Deep Neural Networks with Keras and Tensorflow
Introduction to Deep Neural Networks with Keras and Tensorflow. To date tensorflow comes in two different packages, namely tensorflow and tensorflow-gpu, whether you want to install the framework with CPU-only or GPU support, respectively. NVIDIA Drivers and CuDNN must be installed and configured before hand. Please refer to the official Tensorflow documentation for further details. Since version 0.9 Theano introduced the libgpuarray in the stable release (it was previously only available in... -
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Bash Shell Scripting in a Minute
Learn Bash Shell Scripting in a Minute using this Collection of Script
Learn Bash Shell Scripting in a Minute using this Collection of Scripts, which are Real World Examples, ranging from a simple Date Based Theme to a Standalone Kiosk Type User Input Forms. The Learning is based on a "Observe and Understand Strategy", which means you run these scripts, observe their outputs, understand the script that generates them and learn the whole thing. These Scripts cover almost all the basics of bash shell scripting and summarizes them in the last script for user convenience. Also see this script : https://sourceforge.net/projects/automated-quiz and this script : https://sourceforge.net/projects/command-output-to-html-table/ Notes: 1. ... -
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TensorFlow on Raspberry Pi
TensorFlow for Raspberry Pi
TensorFlow on Raspberry Pi. -
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Eye
Process monitoring tool. Inspired from Bluepill and God
Process monitoring tool. Inspired from Bluepill and God. Requires Ruby(MRI) >= 1.9.3-p194. Uses Celluloid and Celluloid::IO. Eye is an image processing and analysis library for quickly analyzing image patterns and features, often used in computer vision tasks. -
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PowerNex
An operating system written in D
PowerNex is a microkernel operating system written entirely in the Nim programming language. Designed as a learning and research project, it explores OS development using a modern high-level systems language while still offering low-level control. PowerNex focuses on modularity, simplicity, and code clarity. While still in its early stages, the project includes basic kernel functionality, including memory management, task switching, and a custom bootloader, offering insight into building an OS from the ground up using newer programming paradigms. -
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AWS IoT Arduino Yún SDK
SDK for connecting to AWS IoT from an Arduino Yún
The AWS-IoT-Arduino-Yún-SDK allows developers to connect their Arduino Yún compatible Board to AWS IoT. By connecting the device to the AWS IoT, users can securely work with the message broker, rules and the Thing Shadow provided by AWS IoT and with other AWS services like AWS Lambda, Amazon Kinesis, Amazon S3, etc. The AWS-IoT-Arduino-Yún-SDK consists of two parts, which take use of the resources of the two chips on Arduino Yún, one for native Arduino IDE API access and the other for...
