Search Results for "machine learning projects" - Page 34
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Showing 2393 open source projects for "machine learning projects"
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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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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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E2B Cookbook
Examples of using E2B
E2B Cookbook is an open-source collection of example projects, guides, and reference implementations demonstrating how to build applications using the E2B platform. The repository acts as a practical learning resource for developers who want to integrate AI agents with secure cloud execution environments that allow large language models to run code and interact with tools. The examples illustrate how developers can build AI workflows capable of performing tasks such as data analysis, code execution, and application generation inside isolated sandbox environments. ... -
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Nix
Nix, the purely functional package manager
...Learn how to make reproducible, declarative and reliable systems. Nix builds packages in isolation from each other. This ensures that they are reproducible and don’t have undeclared dependencies, so if a package works on one machine, it will also work on another. Nix makes it trivial to share development and build environments for your projects, regardless of what programming languages and tools you’re using. Nix ensures that installing or upgrading one package cannot break other packages. It allows you to roll back to previous versions, and ensures that no package is in an inconsistent state during an upgrade. -
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BlockScout
Blockchain explorer for Ethereum based network
Blockscout provides a comprehensive, easy-to-use interface for users to view, confirm, and inspect transactions on EVM (Ethereum Virtual Machine) blockchains. Blockscout currently supports a wide range of projects and hosts chains such as Ethereum, Ethereum Classic, Gnosis Chain, RSK, LUKSO, Astar, and many more. BlockScout is an Elixir application that allows users to search transactions, view accounts and balances, and verify smart contracts on the Ethereum network including all forks and sidechains. ... -
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kagglehub
Python library to access Kaggle resources
...The library is designed to work both inside and outside Kaggle Notebooks, with native behavior that can adapt when it runs in Kaggle’s hosted notebook environment. It is useful for machine learning workflows where data, models, and notebook artifacts need to be pulled into scripts, experiments, or pipelines. kagglehub also supports authentication so users can access private or restricted resources when their account has permission. Its main value is making Kaggle assets easier to consume programmatically in Python-first data science and AI development workflows. -
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
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Hugging Face Skills
Definitions for AI/ML tasks like dataset creation
Hugging Face Skills is a repository of standardized task definitions that package instructions, scripts, and resources so coding agents can reliably perform AI and machine learning workflows. Each skill is a self-contained folder with structured metadata and guidance that tells an agent how to execute tasks such as dataset creation, model training, evaluation, or Hub operations. The project is designed to be interoperable across major agent ecosystems, including Claude Code, OpenAI Codex, Gemini CLI, and Cursor, making it a cross-platform building block for agent automation. ... -
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MEKA
A Multi-label Extension to Weka
Multi-label classifiers and evaluation procedures using the Weka machine learning framework. -
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MudBlazor
Do more with Blazor, utilizing CSS and keeping Javascript to a minimum
...We bring together everything that's required to build amazing Blazor applications that scale from desktop to mobile. Apart from the library itself we also provide templates, a learning platform, theme manager, demo and example projects as well as an online code editor integrated with our documentation and issue tracking. With more to come. We help companies build amazing apps in record time and let them focus on their business instead of buttons, MudBlazor is battle-tested and one of the fastest-improving platforms, and much more. ... -
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Gideros
Gideros Release version
Gideros is a cross-platform development environment for creating amazing games and interactive applications in 2D or 3D. It is easy to pick up, quick to develop, and robust to deploy. Code your game once and deploy it to Android, iOS, MacOS, tvOS, Windows, HTML 5, and more. Apart from supporting multiple platforms, Gideros also provides automatic screen scaling and automatic selection of proper image resolution, which makes supporting different screen resolutions, aspect ratios, and... -
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ezEngine
An open source C++ game engine
ezEngine is a free, open source game engine written in C++. Its philosophy is to be modular and flexible, such that it can be adapted to many different use cases. EZ utilizes a plugin system to integrate features such as FMOD or Jolt Physics. This makes it possible to only include those features that you need, or to replace systems with a custom solution that works better for your requirements. Similarly, the EZ code base can be built in multiple tiers, where you either get the entire... -
Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
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Litmus
Litmus helps SREs and developers practice chaos engineering
LitmusChaos is an open source Chaos Engineering platform that enables teams to identify weaknesses & potential outages in infrastructures by inducing chaos tests in a controlled way. Developers & SREs can practice Chaos Engineering with Litmus as it is easy to use, based on modern chaos engineering principles & community collaboration. It is 100% open source & a CNCF project. Litmus takes a cloud-native approach to create, manage and monitor chaos. The platform itself runs as a set of... -
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react-native-fast-tflite
High-performance TensorFlow Lite library for React Native
...The library supports zero-copy ArrayBuffers, which helps reduce overhead when passing model inputs and outputs through React Native. It can load and swap TensorFlow Lite models at runtime, making it useful for apps that run multiple machine learning tasks. The project supports GPU-accelerated delegates such as CoreML, Metal, and OpenGL. It is especially useful for mobile computer vision, on-device inference, and VisionCamera-based workflows that need fast local model execution. -
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AI-Trader
100% Fully-Automated Agent-Native Trading
AI-Trader is an open-source AI-powered quantitative trading framework designed to combine financial analysis, machine learning, and autonomous trading workflows into a unified research platform. The project integrates large language models, financial indicators, market analysis pipelines, and automated decision-making systems to support strategy generation and market prediction tasks. It is built to help researchers and developers experiment with AI-assisted trading strategies using historical and real-time financial data. ... -
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darwin-skill
Autoresearch-inspired autonomous skill optimization for Claude Code
darwin-skill is an experimental framework designed to automatically improve AI agent “skills” through iterative evaluation and optimization loops inspired by machine learning training processes. Instead of treating prompts or skill definitions as static assets, the system applies a continuous improvement cycle that evaluates performance, proposes changes, tests outcomes, and either retains or reverts modifications. The framework introduces a scoring system across multiple dimensions, enabling quantitative assessment of skill quality and ensuring that only improvements are preserved over time. ... -
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autoresearch-win-rtx
AI agents running research on single-GPU nanochat training
autoresearch-win-rtx is a Windows-based implementation of the autoresearch framework designed to run autonomous AI research loops on consumer NVIDIA RTX GPUs. It adapts the original autoresearch concept to a Windows environment, enabling users to perform iterative machine learning optimization without requiring specialized Linux or data center setups. The system revolves around a small set of core files, including a training script that is continuously modified by an AI agent, along with supporting utilities for data preparation and evaluation. Experiments are executed within a fixed time budget, ensuring consistent benchmarking across iterations and allowing the agent to focus on incremental improvements. ... -
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Vector Admin
The universal tool suite for vector database management
Vector Admin is a full-stack management platform designed to simplify the handling, visualization, and control of vector databases used in modern AI and machine learning applications. It acts as a universal interface for interacting with multiple vector database providers such as Pinecone, Chroma, Weaviate, and Qdrant, enabling users to manage embeddings without relying solely on APIs or backend tooling. The platform provides a user-friendly graphical interface that allows developers and non-technical users alike to inspect, edit, and organize vectorized data in a way that is typically opaque in standard workflows. ... -
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Pixeltable
Data Infrastructure providing an approach to multimodal AI workloads
Pixeltable is an open-source Python data infrastructure framework designed to support the development of multimodal AI applications. The system provides a declarative interface for managing the entire lifecycle of AI data pipelines, including storage, transformation, indexing, retrieval, and orchestration of datasets. Unlike traditional architectures that require multiple tools such as databases, vector stores, and workflow orchestrators, Pixeltable unifies these functions within a... -
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MatrixOne
Hyperconverged cloud-edge native database
MatrixOne is a future-oriented hyperconverged cloud & edge native DBMS that supports transactional, analytical, and streaming workload with a simplified and distributed database engine, across multiple data centers, clouds, edges and other heterogeneous infrastructures. A monolithic database engine is designed to support hybrid workloads: transactional, analytical, streaming, time-series, machine learning, etc. MatrixOne supports seamless workload migration and bursting among different locations and infrastructures. MatrixOne provides industry-leading latency control with optimized consistency protocol. Accelerated queries supported by patented vectorized execution as well as optimal computation push-down strategies through factorization techniques. ... -
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libfabric
AWS Libfabric
...Its custom-built operating system (OS) bypass hardware interface enhances the performance of inter-instance communications, which is critical to scaling these applications. With EFA, High Performance Computing (HPC) applications using the Message Passing Interface (MPI) and Machine Learning (ML) applications using NVIDIA Collective Communications Library (NCCL) can scale to thousands of CPUs or GPUs. As a result, you get the application performance of on-premises HPC clusters with the on-demand elasticity and flexibility of the AWS cloud. -
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AudioMuse-AI
AudioMuse-AI is an Open Source Dockerized environment
...AudioMuse-AI integrates with several popular self-hosted music servers including Jellyfin, Navidrome, and Emby, allowing users to extend existing media servers with advanced AI-powered recommendation capabilities. The system uses machine learning and audio analysis tools such as Librosa and ONNX models to extract features directly from audio tracks. -
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aosabook
The Architecture of Open Source Applications
...The project collects the written material, source files, and build assets used to publish the books. Its purpose is educational, showing developers how experienced engineers solve complex design problems in actual software projects. The material is aimed at junior developers who want to learn architectural thinking, as well as more experienced programmers who want to compare approaches across systems. The repository includes documentation and production files rather than a single executable application. It is best understood as an open publishing project for software architecture learning. -
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Complete Node Bootcamp
Starter files, final projects and FAQ for my Complete Node.js Bootcamp
Complete Node Bootcamp is the official course-material repository for Jonas Schmedtmann’s Complete Node.js, Express, and MongoDB Bootcamp. It contains starter files, finished project files, and course support material for building backend applications with JavaScript. The repository is centered on practical server-side development, including Node.js fundamentals, Express APIs, MongoDB data modeling, authentication, security, payments, deployment, and real-world backend architecture. Learners... -
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Nave
Virtual Environments for Node
...By default it launches a subshell, so exiting the environment is as simple as exit or Ctrl-D, and you don’t have to modify your shell startup files to get going. This approach makes it straightforward to test projects against multiple Node versions or keep legacy and modern toolchains side by side. Because environment state is scoped, global packages won’t collide across projects, reducing “works on my machine” surprises. Its minimalist design prioritizes speed and clarity over a large command surface, making nave a good fit for developers who want Node versioning without extra ceremony. -
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ML+
Machine Learning
Fast Machine Learning -
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Apache Maka
Local-first AI agent workspace
Apache Maka is an incubating local-first AI agent workspace designed for practical software and knowledge work. It can inspect projects, execute tools, create artifacts, and preserve agent activity as recoverable execution records. Sessions, settings, and run data stay on the user’s machine by default, while model connections can use cloud APIs, local models, or compatible gateways. Its Runtime Event Log records model messages, tool calls, tool results, permission decisions, and termination events. ... -
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Gemma 4 Browser Assistant
On-device AI agent Chrome extension powered by Transformers.js
Gemma 4 Browser Assistant is an open-source browser extension that embeds an AI assistant directly into the browsing experience, powered by on-device machine learning models. It uses Transformers.js and Gemma models to run inference locally in the browser, eliminating the need for external servers and preserving user privacy. The extension includes a side panel interface that allows users to interact with the AI while browsing, enabling tasks such as summarizing pages and answering questions. ...
