A PyTorch implementation of the DeepDream algorithm hosted on GitHub. The repository provides code for running the DeepDream algorithm using the PyTorch framework, with support for features including specific channel selection and activation strength-based channel selection.
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A parallel deep learning framework hosted on GitHub. The project provides a framework for building and running deep learning workflows with parallel processing support, and includes documentation for setup, available layers, and dependencies.
A software tool for easy and comprehensive assessment of predictive power, with support for neuroimaging features. The project is hosted on GitHub and includes sections for project news, overview, long-term goals, and citation information.
A local-first agentic markdown workspace combining a Markdown-first editor, knowledge navigation, AI agent sessions, and explicit change review in a multipane application. It runs agent sessions for providers such as Codex, Claude, Grok, Kilo, OpenCode, and Pi, and supports reviewing tracked AI edits before keeping or rejecting them.
A GitHub repository collecting AI learning resources, including over 100 cheat-sheets, free online books, courses, videos and lectures, papers, tutorials, researchers, websites, datasets, conferences, frameworks and tools. Topics include machine learning, deep learning, big data, data science and Python.
nlp.js is a JavaScript library for building chatbots and bots, developed by AXA Group. It includes features such as entity extraction, sentiment analysis, and automatic language identification. The library is open-source and hosted on GitHub.
nngraph is an open source GitHub repository that provides graph computation capabilities for Torch's nn neural network package. It enables users to define and work with neural network graph structures for their machine learning projects.
nnx is an open source GitHub repository that acts as an extension to Torch7's nn neural network package. It provides additional experimental components for use with the Torch7 nn library.
Node-SVM is a GitHub repository that provides support vector machine (SVM) implementations for Node.js. The project enables developers to use SVM algorithms within JavaScript applications. It includes installation instructions, a quick start guide, and an API reference. The repository is open source and contributed to by the community.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
notespace is an open source project hosted as a public repository on GitHub under the scicloj/notespace project. It is designed to enable users to use their namespace as a notebook. The project invites contributions from developers.
numpy-ML is a GitHub-hosted library that implements various machine learning algorithms using only NumPy. The project emphasizes rapid experimentation and can be used as a package. It covers a range of ML methods and includes documentation for users. The repository is open source and welcomes contributions.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
OneComp is a Python package for large language model (LLM) compression, hosted as a public repository under the FujitsuResearch GitHub organization. The project is designed for LLM compression tasks and accepts community contributions to its codebase.
ONNX-Scala is an ONNX (Open Neural Network eXchange) API and backend built for typeful, functional deep learning and classical machine learning use cases in Scala 3. It is hosted as a public repository under the EmergentOrder GitHub organization.
onWatch is an open-source tool developed by onllm-dev that tracks AI API quotas for services including Synthetic, Z.ai, Anthropic Claude Code, Codex, GitHub Copilot and Antigravity in real time. It functions as a lightweight background daemon that uses less than 50MB of RAM, stores data in SQLite, and provides a Material Design 3 dashboard. The tool does not collect telemetry.
Onyx is an open-source AI platform that connects to applications to index and surface knowledge, with self-hosted deployment options. It provides agentic RAG search, deep research reports, custom agents, web search, a secure sandbox for code execution, artifacts, and voice mode. It works with major LLMs.
Open-source project that supports software development with code generation, analysis, debugging, or documentation.
Open LLMs is a public repository that curates a list of open large language models (LLMs) available for commercial use. It also includes related datasets for LLM pre-training, instruction-tuning, and alignment-tuning, and is hosted under the eugeneyan GitHub organization.
This GitHub repository hosts the open-source release of xAI's Grok-1 model. It provides model specifications, guidance for downloading model weights, associated license information, and accepts community contributions to the project.
An archived, read-only GitHub repository holding an open solution to the Google AI Open Images Object Detection Track. It offers starter code, configs and notebooks, with RetinaNet training and references to the Neptune experiment platform; Neptune use is optional and the code can run as a plain Python script. The README notes the competition used Open Images Dataset V4.
An archived, read-only GitHub repository holding an open solution to the Home Credit Default Risk challenge. It provides code, configs and notebooks plus documented solutions using LightGBM, sklearn and XGBoost with engineered features; the README lists cross-validation and leaderboard scores for each. References to Neptune are optional and the solution can run as a plain Python script.
This GitHub repository hosts an open solution for the Airbus Ship Detection Challenge. It outlines the project's goals, includes a disclaimer, provides guidance for getting started, and shares information about the implemented solutions, while accepting community contributions.