Search Results for "learn" - Page 39
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Showing 1944 open source projects for "learn"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
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LBTR - Learning Based Targeted Revision
LBTR: learning based method for incremental community detection
This is the source code of paper: Shang, Jiaxing, Lianchen Liu, Xin Li, Feng Xie, and Cheng Wu. "Targeted revision: A learning-based approach for incremental community detection in dynamic networks." Physica A: Statistical Mechanics and its Applications 443 (2016): 70-85. Anyone using the source code plearse cite this paper. -
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Learn Sindhi 2017
Learn Sindhi 2017 is Language Learning Project For Sindhi Language
Learn Sindhi 2017 is porject of Sindhi Language Learning by Sindhi Language Authority-Hyderabad Sindh, in this software Sindhi Language is taught in Urdu English and Roman Script from basics to Advanced Grammer of Sindhi Language including Pictures, animations and sound with amazing Exercises Developed ByL Fahad Hussain Memon, Anees Kaka Cource Designed by Dr. -
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Programmer's Guide to SJCAM SJ4000 WiFi
Learn how to control SJCAM SJ4000 WiFi without proprietary software
"A Programmer's Guide to SJCAM SJ4000 WiFi" is a reverse-engineered documentation of WiFi-based control protocol and API in SJCAM SJ4000 WiFi action camera, providing necessary information for free software developers to develop applications or libraries for controlling it wirelessly. The guide also documents details necessary for power users to utilize this feature of their own camera without relying on proprietary SJCAM ZONE software; along with trivia, catches, quirks, and limitations... -
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Tetris01
An overcomplicated way to learn coding in Java
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Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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AnyWave is a multi-platform software designed for neurologists and researchers who want to visualise and apply signal processing on electrophysiological signals. AnyWave can handle EEG, SEEG, MEG and more. MATLAB/Python/C++ plugins can be added. See this wiki section to learn how to build AnyWave on Linux : http://meg.univ-amu.fr/wiki/AnyWave:BuildSDK
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ArchBasic is a GNU/Linux distro. It's purely based on Archlinux and provides you with a lightweight Arch Linux system combined with the XFCE4 window manager. Live , Learn and Enjoy the strength (and ease) of ArchLinux :) Want to help us nto learn others the (Arch)Linux Basics ? info@archbasic.com
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DarkForestGo
DarkForest, the Facebook Go engine
...The system couples fast GPU policy inference with CPU or GPU-assisted tree search so priors from the network guide exploration while search refines local tactics. Training pipelines mix supervised learning from human professional games and self-play fine-tuning, allowing the model to learn opening patterns and endgame tactics beyond simple pattern libraries. The codebase includes tools for parsing classic Go formats, generating training examples, and evaluating models on standard test suites and online servers. A KGS/online client and match runner make it practical to stage controlled tournaments or continuous rating evaluation. ... -
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jQuery Source Code Interpretation
jQuery source code parsing
...The project focuses on showcasing clever implementations, visual tricks, and unconventional solutions that expand how developers think about classic web technologies. It serves primarily as an educational playground where developers can study practical code examples and learn nuanced behaviors of the DOM, animations, and browser rendering. The repository complements the author’s broader ecosystem of frontend explorations by emphasizing hands-on experimentation and reproducible demos. Its materials are particularly useful for developers interested in performance tricks, visual polish, and edge-case browser behavior. ... -
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magfido
FIDO U2F Integration for Magento 2
...Using the code in this project with StrongKey's open-source FIDO Certified U2F Server (https://sourceforge.net/projects/skce), integrate FIDO U2F strong authentication to your site and mitigate the risk of fraudulent transactions while staying protected. Learn more about Magento + FIDO at this Magento Community Forum thread: https://community.magento.com/t5/Magento-2-Feature-Requests-and/Enable-FIDO-Strong-Authentication/idi-p/79810 This code contribution is based on work done with the NIST National Cybersecurity Center of Excellence Multi-Factor Authentication for e-Commerce project (https://nccoe.nist.gov/projects/use-cases/multifactor-authentication-ecommerce). -
Save Up to 91% on Cloud Compute With Spot VMsRun batch jobs at 60-91% off with Spot VMs. Long-running workloads get automatic discounts with sustained use.
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Jocko
Kafka implemented in Golang with built-in coordination
Kafka/distributed commit log service in Go. Protocol compatible with Kafka so Kafka clients and services work with Jocko. Use Serf for discovery, Raft for consensus (and remove the need to run ZooKeeper). Able to use percentages of disk space for retention policies rather than only bytes and time kept. Handling size configs when you change the number of partitions or add topics. API versioning [more API versions to implement]. Replication [first draft done - testing heavily now]. Partition... -
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Smartparens
Minor mode for Emacs that deals with parens pairs
Smartparens is a minor mode for dealing with pairs in Emacs. We generally target GNU Emacs version 24.3 and newer, however, everything should work mostly fine on anything newer than version 24. You can install smartparens from MELPA. Once installed, enable the default configuration. You may want to try smartparens-strict-mode. This enforces that pairs are always balanced, so commands like kill-line keep your code well-formed. Inside Emacs, M-x sp-cheat-sheet will show you all the commands... -
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re-start
react-native template to target multiple platforms
...Cut out the time and effort it takes to setup the project (based on create-react-app). Achieve write once run everywhere with react-native (though react strictly says 'Learn once use anywhere). Mitigate git cloning or manual upgrading of boilerplates, which is possible because this project is a react-native template. This project comprises of several templates that are curated keeping in mind the various use cases of initiating a new project. Based on your requirements and preferences, you can choose a template that suits your case the best. ... -
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Learning to Learn in TensorFlow
Learning to Learn in TensorFlow
Learning to Learn, created by Google DeepMind, is an experimental framework that implements meta-learning—training neural networks to learn optimization strategies themselves rather than relying on manually designed algorithms like Adam or SGD. The repository provides code for training and evaluating learned optimizers that can generalize across different problem types, such as quadratic functions and image classification tasks (MNIST and CIFAR-10). -
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Synaptic
Architecture-free neural network library for node.js and the browser
Synaptic is a javascript neural network library for node.js and the browser, its generalized algorithm is architecture-free, so you can build and train basically any type of first order or even second order neural network architectures. This library includes a few built-in architectures like multilayer perceptrons, multilayer long-short term memory networks (LSTM), liquid state machines or Hopfield networks, and a trainer capable of training any given network, which includes built-in... -
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blade
Lightning fast and elegant mvc framework for Java8.
Github: https://github.com/biezhi/blade Based on Java8 + Netty4 to create lightweight, high-performance, simple and elegant Web framework. Spend 1 hour to learn it to do something interesting, a Spring in addition to the framework of the best choice. -
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Pygorithm
A Python module for learning all major algorithms
A Python module to learn all the major algorithms on the go! Purely for educational purposes. If you are using Python 2.7 use pip instead. Depending on your permissions, you might need to use pip install, user pygorithm to install. To see all the available functions in a module, you can just type help() with the module name as an argument. -
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Java provides the concurrent library that simplifies concurrent programming, but this is hard to learn and visualize. This project is a series of animations each illustrating the coding and usage of a component in the java concurrent library.
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lichess.org
The forever free, ad-free and open source chess server
lichess.org (also known as Lila - lichess in Scala) is a free and open source chess server written in Scala 2.13 that focuses on real time gameplay and ease of use. It’s where countless chess players and chess enthusiasts can gather and watch or play from a selection of over a million games every day, analyze games, learn and improve their playing. lichess is equipped with a search engine, computer analysis, tournaments, exhibitions, a mobile app, a shared analysis board, and so much more. Thanks to its large active community, the UI is available in more than 130 different languages. lichess is one of the most popular chess websites in the world and remains totally free and ad-free. ... -
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Write a hash table in C
Learn how to write a hash table in C
Hash tables are one of the most useful data structures. Their quick and scalable insert, search and delete make them relevant to a large number of computer science problems. Understanding of how a fundamental data structure works under the hood. Deeper knowledge of when to use hash tables, when not to use them, and how they can fail. Exposure to new C code. The language doesn't come with one included. It is a low-level language, so you get deeper exposure to how things work at a machine... -
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anuman
Dialogic Agent Neural Network based
with Ada, to learn to speach (French) with Neural Network. -
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Machine-Learning-Flappy-Bird
Machine Learning for Flappy Bird using Neural Network
...Over successive generations, a genetic algorithm evolves the neural networks by selecting high-performing agents and recombining their parameters to produce improved offspring. This process allows the AI agents to gradually learn better strategies for navigating the obstacles and surviving longer in the game environment. -
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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. -
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bash-handbook
For those who wanna learn Bash
bash-handbook is a concise, practical guide written for people who want to learn Bash scripting and command-line usage without diving into overly academic or exhaustive references. The handbook is written in Markdown and covers fundamentals such as shell basics, variables, control structures, functions, working with files, and common utilities. Its goal is to provide enough knowledge to become productive in Bash, automate tasks, and understand scripts encountered in real projects, without overwhelming the reader. ... -
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SubMerge
Learn Language by Merging Subtitles
The aim behalf this project is to let users merge two subtitles of different languages together. by this way you can easily learn the target language in the same way native speakers speak it. -
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U.S. Web Design System documentation
USWDS website and documentation
This repo includes code and documentation for the U.S. Web Design System website. For information on the USWDS components and codebase, please visit our uswds Github repo. The U.S. Web Design System documentation is built using Jekyll for the file framework, gulp for task management, and the node module for USWDS. A design system for the federal government. We make it easier to build accessible, mobile-friendly government websites.