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Applied ML is a curated collection of papers, articles and blogs about data science and machine learning in production, organized under topics such as data quality, recommendation, search and ranking, and MLOps. It is licensed under MIT and covers how organizations frame problems and which techniques worked.
Platform for Production Data Science.
Easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.
Archai is an open-source project developed by Microsoft and hosted on GitHub. It is designed to accelerate neural architecture search (NAS) research by providing fast, reproducible, and modular tooling for developing, testing, and refining new neural network architectures.
Creates or edits images with generative models and visual controls.
Audio diffusion library for PyTorch that includes models for unconditional audio generation, text-conditional audio generation, diffusion autoencoding, upsampling, and vocoding. The models are waveform-based, and the U-Net, DiffusionModel, diffusion method, and samplers are customizable for other formats. No pre-trained models are provided.
Open source container-native workflow engine for orchestrating parallel jobs on Kubernetes.
Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
ArtiVC is a command-line tool for data versioning on cloud storage. It snapshots data and switches between versions, supporting commit history, commit messages, version tags, diffing commits, and pulling data from a specific version. Backends include local filesystem, remote filesystem over SSH, AWS S3, Google Cloud Storage, and Azure Blob Storage, with more through Rclone. No additional server is required.
Enterprise-grade, commercial-friendly agentic workflow platform for building next-generation SuperAgents.
Scripts to generate a dataset with static frames from the Arcade Learning Environment. Instructions cover getting Torch, placing supported Atari ROMs (freeway, pong, riverraid, seaquest, space_invaders), building the environment and Lua wrapper, and producing frames.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Auto ViML automatically builds multiple machine learning models with a single line of code. It was created by Ram Seshadri, and collaborators are welcome with permission. The tool is available on GitHub.
AutoGPT is an open-source platform for AI agents. It aims to make AI accessible for everyone to use and build on, providing tools that allow users to focus on their tasks. The platform offers public, hosted, and managed services across multiple surfaces.
autoai is an open-source Python framework for automatic artificial intelligence focused on regression and classification tasks over numerical data. It automates model search, hyper-parameter tuning, and generates high-quality Jupyter Notebook code for resulting models.
Drop-in AsyncOpenAI replacement that transparently batches requests via the Batch API for cheaper LLM inference.
AutoGen is a programming framework for agentic AI. It provides developers with tools to create and manage AI agents that can perform tasks autonomously. The framework is designed to facilitate the development of multi-agent systems.
AutoML framework & toolkit for machine learning on graphs.
Automated machine learning for image, text, tabular, time-series, and multi-modal data.
AutoKeras is an AutoML library for deep learning built on Keras, developed by DATA Lab at Texas A&M University. The project describes its goal as making machine learning accessible to everyone. It can be installed with pip, and the documentation states it is currently only compatible with Python 3.7 or later and TensorFlow 2.8.0 or later.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
automl-gs is a Python 3 AutoML module that takes an input CSV and a target field and generates a trained machine learning or deep learning model plus native Python code pipelines. It provides a zero code/model definition interface and performs random hyperparameter searches, reporting metrics for each trial in a CSV.
Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
Autonomous HR Chatbot is an autonomous HR agent that answers user queries using tools. It is built with ChatGPT, LangChain, Pinecone, and Streamlit. The system integrates these technologies to understand and process HR-related inquiries automatically.
