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ml5.js is a JavaScript library providing access to machine learning algorithms and models in the browser, building on TensorFlow.js. It aims to make machine learning approachable for artists, creative coders and students, and is supported by code examples, tutorials and sample data sets. The project is described as currently in development.
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MLRun is an open source MLOps platform for building and managing continuous machine learning applications across their lifecycle. It integrates with development and CI/CD environments to automate the delivery of production data, ML pipelines, and online applications.
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mlxtend is a library that provides extension and helper modules for Python's data analysis and machine learning libraries. The project includes installation guides, example code, license information, and contact details. It is hosted as an open source repository on GitHub.
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GALACTICA is a general-purpose scientific language model trained on scientific text and data. This repository provides a Model API for GALACTICA, installable from pip or the repository, with five model sizes. The models can be used with the transformers library. It is a stand-alone model that is not instruction tuned, so correct prompts are needed for good results.
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Mole is a free open-source CLI toolkit for macOS and Windows that cleans caches, logs, leftovers and orphaned app data, uninstalls apps with their leftovers, analyzes disk usage, performs system maintenance and shows live system monitoring. The repository is the CLI, called mo, installed via Homebrew or a script; Mole requires macOS 12 or newer and supports Intel and Apple Silicon Macs.
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Molly is a hardened version of Signal for Android that connects to Signal's servers. It adds optional security features such as passphrase encryption of the app database, an automatic lock, a secure RAM wiper, blocking of unknown contacts, and Tor or SOCKS proxy support. It is released in Molly and Molly-FOSS versions.
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Multi-Cloud-Transfer-Tool is a GitHub-hosted Jupyter Notebook project created by TheCaduceus for transferring and managing data between local devices and any cloud service remotely. The tool is built on Rclone and other engines, and is described as advanced yet simple to use.
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NASGym is a proof-of-concept OpenAI Gym environment for Neural Architecture Search. It implements reinforcement learning steps for NAS and encodes networks using the Neural Structure Code from BlockQNN. A network is modeled as a list of NSCs, an action adds a layer, and the reward is accuracy after early-stop training. CIFAR-10 is the default dataset. The code and documentation may contain minor bugs.
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NDScala is a Scala 3 library for N-dimensional and multi-dimensional arrays (tensors), described as comparable to NumPy ndarray or PyTorch Tensor, with type safety over shapes, array and axis labels and numeric data types. The repository includes materials on shape-safe neural network training and an ONNXScala component.
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NeuroNER is a program that performs named-entity recognition using neural networks. It relies on Python 3 and TensorFlow 1.0+, optionally uses the BRAT annotation tool, and provides installation instructions, sample datasets and pretrained models.
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nextjs-headless-wordpress helps manage meta tags, Open Graph data, and social sharing previews for websites.
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NexusTik is an AI-powered analytics platform built for TikTok Shop operators, creators and brands. It turns raw data into actionable insights to help you create viral videos, pick winning products and outperform competitors.
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Compromise is a JavaScript natural-language processing library that turns text into data, offering tokenization of words, sentences and punctuation along with part-of-speech tagging, matching, and transformations such as verb conjugation and number handling. It runs on the client side, is about 250kb minified, and includes plugins, with multilingual support listed for French, German, Italian and Spanish.
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novideo_srgb is a tool that calibrates monitors to sRGB or other color spaces on NVIDIA GPUs, based on EDID data or ICC profiles. It uses an undocumented NVIDIA API to convert colors before sending them to a wide gamut monitor, clamping it to sRGB, Display P3, Adobe RGB or BT.2020.
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Nullboard is a minimalist kanban board and task list manager for desktop and keyboard/mouse use. It is a single-page web app with one HTML file, jQuery and a webfont pack, usable offline. Data is stored locally in localStorage and can be exported to or imported from JSON text files. It is described as still very much in beta.
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Nushell is a shell that treats each input as structured data rather than raw streams of text. Listing a directory returns a table of rows, and values can be piped through a series of commands called a pipeline. The project has reached a minimum-viable-product level of quality. It is available via package managers including brew and winget.
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An offline AI application for phones and Macs that supports chat, image generation, vision, Whisper speech-to-text, tool calling and local-network servers. It runs on CPU, GPU or NPU, requires no account or API key, and keeps data on the device. A paid Pro tier adds voice mode, custom personas and draft-and-approve actions.
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A C++ implementation of an Ordinary Least Squares solver and linear regression engine with zero external dependencies. It uses a custom matrix library, modified Gram-Schmidt orthogonalization and QR decomposition. It includes a CSV test dataset from the Czech film market and computes error metrics such as RSS and MAE.
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Ombre is an open-source AI infrastructure layer. It runs eight specialized agents on every request to handle security, caching, memory, hallucination detection, and tamper-proof audit trails. It is installed with one line of code, and user data never leaves the user's server.
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Typed graph database where agents branch and merge like Git. S3-native, Rust, traversal + vector + BM25 in one runtime.
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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.
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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.
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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.