Directory
Published directory entries matching your search.
MindSpore is an open source deep learning training and inference framework that could be used for mobile, edge, and cloud computing scenarios. Its source code is hosted in the mindspore-ai/mindspore repository on GitHub.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
ML-From-Scratch is a GitHub repository that provides bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility, aiming to cover methods from linear regression to deep learning.
ml.js is an open-source machine learning toolset implemented in JavaScript, hosted in the mljs/ml GitHub repository. It provides libraries for both supervised and unsupervised machine learning tasks, alongside usage resources and standalone example code for users.
ML/AI Interview Prep is a GitHub-hosted resource collection for machine learning and artificial intelligence technical interview preparation. It includes over 500 interview questions and answers with accompanying code, cheat sheets for NumPy, Pandas, PyTorch, and scikit-learn, and system design content targeted at candidates for roles at companies including Google, Meta, and OpenAI.
MLBase (MLBase.jl) is a Julia package hosted in the JuliaStats/MLBase.jl GitHub repository, providing a collection of functions to support the development of machine learning algorithms. It includes accompanying resources and documentation for package users.
MLBox is an open-source automated machine learning library implemented in Python, hosted in the AxeldeRomblay/MLBox GitHub repository. It provides contribution guidelines, project topic information, and resources documenting the library's functionality.
MLU-Explain is an education initiative from Amazon that teaches machine learning concepts through visual essays. It publishes interactive articles on topics such as neural networks, logistic regression, reinforcement learning, ROC and AUC, cross-validation, random forests, and decision trees.
MLX is an array framework developed for use on Apple silicon hardware. The project includes example code, quickstart guides, installation instructions, and contribution guidelines. It is hosted as an open source repository on GitHub.
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.
MMAudio is a CVPR 2025 project for video-to-audio synthesis that generates synchronized audio from video and/or text inputs. It uses multimodal joint training and a synchronization module to align generated audio with video frames. A pretrained large_44k_v2 model is used by default, with inference around 6GB of GPU memory in 16-bit mode.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Mochi is an open-source video generation model by Genmo, released under an Apache 2.0 license. The repository provides installation, weight downloads, a Gradio UI, CLI, and API, plus LoRA fine-tuning support and an inference harness.
Open-source project that creates or edits images with generative AI and text-based controls.
modAL is a modular active learning framework designed for use with the Python programming language. The project includes introductory documentation, overviews of active learning concepts, usage examples, and quickstart guides. It is hosted as an open source repository on GitHub.
MubertAI/Mubert-Text-to-Music is a GitHub repository maintained by MubertAI. It hosts a simple notebook that demonstrates prompt-based music generation via the Mubert API, providing a reference implementation for users looking to generate music from text prompts using the service.
A GitHub repository with a preliminary implementation of the paper "Improving Factuality and Reasoning in Language Models through Multiagent Debate." It contains code for running arithmetic, GSM, biography and MMLU tasks through multiagent debate, with scripts to generate and evaluate answers. More tasks and settings are stated as forthcoming.
MusicGen is a single-stage auto-regressive Transformer model for music generation trained over a 32kHz EnCodec tokenizer with four codebooks, part of the AudioCraft library. It supports text-to-music and text-plus-melody-to-music models ranging from 300M to 3.3B parameters. Running it locally requires a GPU, with at least 16 GB of memory recommended for medium-sized models.
Nanocoder is an open-source coding agent built for terminal use by a community collective rather than a corporate entity. It allows users to bring their own AI model, stores code locally on the user's machine, and does not require users to owe fees or obligations to a company. It is hosted as a public repository on GitHub.
nateraw/stable-diffusion-videos is a GitHub repository that provides tools for creating videos with Stable Diffusion by exploring the latent space and morphing between text prompts, with support for making music videos.
Neofuzz is an open-source Python library that provides high-speed fuzzy text search functionality. It is hosted on GitHub under the x-tabdeveloping repository and is available for community use and contribution.
neonrvm is an open-source machine learning library for performing regression tasks using the Relevance Vector Machine (RVM) technique. It is written in Python and available on GitHub. The library aims to provide efficient implementations for RVM-based regression.
Netron is a viewer for neural network, deep learning and machine learning models. It supports formats including ONNX, TensorFlow Lite, PyTorch, TensorFlow, Core ML, OpenVINO, Keras, Caffe, Darknet, Safetensors and NumPy. It is available as a browser version and installers for macOS, Linux and Windows, plus a Python package. Experimental support exists for MLIR, JAX, GGUF and other formats.
neuml/txtai is an all-in-one AI framework for semantic search, LLM orchestration, and language model workflows. It is open source and hosted on GitHub. The framework provides tools for building applications that understand and generate text.
