Search Results for "learning" - Page 20
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Showing 1132 open source projects for "learning"
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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$300 Free Credits to Build on Google CloudStart your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query petabytes in BigQuery, or build agents with Gemini Enterprise Agent Platform. Once your credits are used, keep building with 20+ always-free tier products including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. No commitment required—just sign up and start building.
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Horovod
Distributed training framework for TensorFlow, Keras, PyTorch, etc.
Horovod was originally developed by Uber to make distributed deep learning fast and easy to use, bringing model training time down from days and weeks to hours and minutes. With Horovod, an existing training script can be scaled up to run on hundreds of GPUs in just a few lines of Python code. Horovod can be installed on-premise or run out-of-the-box in cloud platforms, including AWS, Azure, and Databricks. -
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fastMRI
A large open dataset + tools to speed up MRI scans using ML
fastMRI is a large-scale collaborative research project by Facebook AI Research (FAIR) and NYU Langone Health that explores how deep learning can accelerate magnetic resonance imaging (MRI) acquisition without compromising image quality. By enabling reconstruction of high-fidelity MR images from significantly fewer measurements, fastMRI aims to make MRI scanning faster, cheaper, and more accessible in clinical settings. The repository provides an open-source PyTorch framework with data loaders, subsampling utilities, reconstruction models, and evaluation metrics, supporting both research reproducibility and practical experimentation. ... -
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Penetration Testing Tools
A collection of more than 170+ tools, scripts, cheatsheets
...Many entries include short usage notes, common command examples, and links to upstream projects or writeups, turning the repo into both a toolbox and a practical learning library. The collection emphasizes tooling that is easy to run in lab environments and often points to small scripts and one-file utilities that accelerate common tasks like service discovery, credential harvesting, or privilege checks. -
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iJEPA
Official codebase for I-JEPA
i-JEPA (Image Joint-Embedding Predictive Architecture) is a self-supervised learning framework that predicts missing high-level representations rather than reconstructing pixels. A context encoder sees visible regions of an image and predicts target embeddings for masked regions produced by a slowly updated target encoder, focusing learning on semantics instead of texture. This objective sidesteps generative pixel losses and avoids heavy negative sampling, producing features that transfer strongly with linear probes and minimal fine-tuning. ... -
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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hello-algorithm
Algorithm training for Xiaobai
hello-algorithm is an educational repository designed to teach data structures and algorithms through clear explanations, visualizations, and code examples. It provides a structured learning path that covers fundamental concepts such as arrays, linked lists, trees, graphs, sorting algorithms, and dynamic programming. The project emphasizes understanding over memorization by breaking down complex topics into intuitive explanations supported by diagrams and examples. It is accessible to learners at different levels, from beginners to more advanced users who want to reinforce their knowledge. ... -
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KotlinDL
High-level Deep Learning Framework written in Kotlin
...This project aims to make Deep Learning easier for JVM and Android developers and simplify deploying deep learning models in production environments. -
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Learning Prompt
Free prompt engineering online course
Learning-Prompt is a curated repository of prompts, techniques, and instructional patterns designed to help people construct better prompts for AI systems, including generation, reasoning, and debugging tasks. It collects examples of effective prompt formats, chains of thought, strategy scaffolds, and comparative methods that help yield consistent, high-quality results. -
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DevOps Resources
DevOps resources
This repository aggregates useful resources, references, roadmaps, and learning materials in various areas of DevOps including Linux, Jenkins, AWS, SRE, Prometheus, Docker, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL/NoSQL, Azure, GCP, and more. Curated tooling and technology references across multiple DevOps domains. Roadmaps and learning paths for building DevOps competence. It is meant as a guide for learners and practitioners to discover tools, concepts, and tutorials relevant to DevOps roles. ... -
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The HaskellR project
The full power of R in Haskell
...HaskellR allows Haskell functions to seamlessly call R functions and vice versa. It provides the Haskell programmer with the full breadth of existing R libraries and extensions for numerical computation, statistical analysis and machine learning. Optionally, pass in the --nix flag to all commands if you have the Nix package manager installed. Nix can populate a local build environment including all necessary system dependencies without touching your global filesystem. Use it as a cross-platform alternative to Docker. -
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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Coframe
Coframe brings your UX to life with AI-powered optimization
...Coframe brings the content of your app or website to life through AI-powered optimization, personalization, and overall self-improvement. It takes minutes to integrate, and the ROI is clear to measure. Your website or app gains self-enhancing abilities with Coframe, learning from real-world performance. It's A/B testing, but with a serious upgrade. Coframe uses the latest in AI to generate copy that is tailored to your users. Resulting performance data is fed back in to continuously improve your platform's content. With Coframe, your website or app works for you 24/7, not the other way around. All it takes to get up and running is a few lines of code. ... -
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DeepMind Research
Implementations and code to accompany DeepMind publications
This repository collects reference implementations and illustrative code accompanying a wide range of DeepMind publications, making it easier for the research community to reproduce results, inspect algorithms, and build on prior work. The top level organizes many paper-specific directories across domains such as deep reinforcement learning, self-supervised vision, generative modeling, scientific ML, and program synthesis—for example BYOL, Perceiver/Perceiver IO, Enformer for genomics, MeshGraphNets for physics, RL Unplugged, Nowcasting for weather, and more. Each project folder typically includes its own README, scripts, and notebooks so you can run experiments or explore models in isolation, and many link to associated datasets or external environments like DeepMind Lab and StarCraft II. ... -
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TKEStack
Native Kubernetes container management platform
...Provides an intuitive UI interface to support visualization and YAML import and other resource creation and editing methods, enabling users to run containers without learning all Kubernetes concepts up-front. An abstract project-level resource container that supports multiple namespace management and deployment applications across multiple clusters. Unified authorization management, not only at the cluster management level but even at the Kubernetes resource level. Integration with your existing authentication mechanisms, including LDAP, OIDC, front proxy, and public OAuth providers such as GitHub. -
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AI-Agent-Host
The AI Agent Host is a module-based development environment.
The AI Agent Host integrates several advanced technologies and offers a unique combination of features for the development of language model-driven applications. The AI Agent Host is a module-based environment designed to facilitate rapid experimentation and testing. It includes a docker-compose configuration with QuestDB, Grafana, Code-Server and Nginx. The AI Agent Host provides a seamless interface for managing and querying data, visualizing results, and coding in real-time. The AI... -
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MLPACK is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and flexibility for expert users. * More info + downloads: https://mlpack.org * Git repo: https://github.com/mlpack/mlpack
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DIG
A library for graph deep learning research
The key difference with current graph deep learning libraries, such as PyTorch Geometric (PyG) and Deep Graph Library (DGL), is that, while PyG and DGL support basic graph deep learning operations, DIG provides a unified testbed for higher level, research-oriented graph deep learning tasks, such as graph generation, self-supervised learning, explainability, 3D graphs, and graph out-of-distribution. -
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javaboy-code-samples
Collection of Java code examples and demo projects
...Rather than focusing on a single application, it groups many small sample programs and projects that exemplify usage of Java core APIs, Spring Boot, frameworks like GRPC and Shiro, REST services, JWT, web security, caching, asynchronous processing, and database interactions. Each sample serves as a compact learning unit for a specific technology or pattern, allowing developers to explore one concern at a time without navigating a massive codebase. The repository often accompanies blog posts and tutorials, helping developers learn by reading articles and examining the corresponding code side-by-side. Because these practical examples cover common real-world problems and solutions, the project has amassed significant developer interest and engagement. -
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bugstack
Java Backend Development Skills Roadbook
RoadMap is a Java backend development learning roadmap created to help programmers understand the full skill path from basic computing knowledge to delivery and deployment. It organizes the learning journey around the real workflow of taking requirements, designing systems, building software, testing quality, and releasing applications. The roadmap covers computer fundamentals, programming foundations, architecture, environment setup, backend development, libraries, debugging, testing, quality analysis, and deployment. ... -
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smclarify
Fairness aware machine learning. Bias detection and mitigation
Fairness Aware Machine Learning. Bias detection and mitigation for datasets and models. A facet is column or feature that will be used to measure bias against. A facet can have value(s) that designates that sample as "sensitive". Bias detection and mitigation for datasets and models. The label is a column or feature which is the target for training a machine learning model. -
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Jekyll Pure Liquid Heading Anchors
A GitHub Pages compatible way of adding anchors to your headings
...This is all written in Liquid so need for any whitelisting. Worried about how weird or ugly a plug-in's CSS may be? These projects only generate semantically sane HTML for you to style. No need to worry about learning Ruby to edit a plug-in or getting your edits approved. It’s all Liquid, just change whatever HTML you want generated. -
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Next Right Now
Flexible production-grade boilerplate with Next.js 11
...It has been used to build Unly Solidarity, a fully static website meant to help French students find various solutions regarding the COVID-19 pandemic. It has been used to build NRN Admin (Now unmaintained/discontinued) To be used as an educational resource, meant to be used as a learning/teaching resource, even if you don’t use it as a boilerplate. -
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Knet
Koç University deep learning framework
Knet.jl is a deep learning package implemented in Julia, so you should be able to run it on any machine that can run Julia. It has been extensively tested on Linux machines with NVIDIA GPUs and CUDA libraries, and it has been reported to work on OSX and Windows. If you would like to try it on your own computer, please follow the instructions on Installation. -
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Remix IDE
Browser-based compiler and IDE
...It fosters a fast development cycle and has a rich set of plugins with intuitive GUIs. Remix is used for the entire journey of contract development as well as act as a playground for learning and teaching Ethereum. Remix IDE is part of the Remix Project which is a platform for development tools that use a plugin architecture. It encompasses sub-projects including Remix Plugin Engine, Remix Libs, and of course Remix-IDE. Remix IDE is a powerful open source tool that helps you write Solidity contracts straight from the browser. ... -
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php-billing-app
A basic PHP/MySQL/HTML Billing APP. Meant for developers learning.
Here is PHP/MySQL/HTML code that is a sample Entry Level Billing APP. It is Free, and mostly for learning purposes. You can install on a Windows or linux server, and look at the PHP code files on your PC. -
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LifeAI is an artificial intelligence system that can be applied to robotics, games, or business. It simulates key processes of our minds, such as organizing data into concepts and categories, planning actions based on their predicted outcome, and communication. LifeAI was designed to be simple, but powerful and flexible enough to have many applications.
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Shope
This is an eCommerce minimalist template
...Because it is built with Flutter, it supports cross-platform deployment, allowing developers to target both Android and iOS from a single codebase. It also demonstrates best practices for structuring Flutter UI projects, making it a useful learning resource in addition to a production starting point.