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Published directory entries matching your search.
Delta Lake is an open-source storage framework designed to support the construction of a Lakehouse architecture. It is compatible with multiple compute engines including Apache Spark, PrestoDB, Flink, Trino, and Hive, as well as associated APIs.
Falcon-40B-Instruct is a 40B parameter causal decoder-only model built by TII based on Falcon-40B and finetuned on a mixture of Baize, released under the Apache 2.0 license. It is intended as a ready-to-use chat and instruct model, and the card notes it may not be ideal for further finetuning. The model is trained mostly on English data, and users are advised to take precautions for production use.
Apache Flink is a distributed data processing engine for stateful computations over data streams. It offers exactly-once state consistency, event-time processing, layered APIs including SQL on stream and batch data, and flexible deployment with savepoints. Its stated use cases include event-driven applications, stream and batch analytics, and data pipelines and ETL.
Flux is the official inference repository for FLUX.1 models from Black Forest Labs. It contains minimal inference code for running image generation and editing with the open-weight models, including text-to-image, in/out-painting, structural conditioning and image variation variants. The repository is distributed under the Apache-2.0 license.
Flyte 2 is described as a durable AI runtime for running training, serving and agent workloads, with automatic recovery from infrastructure and code failures. Workflows are written in Python, and the project is distributed as Apache 2.0 open source under the Linux Foundation.
Future AGI is an open-source, self-hostable platform for evaluating, observing, and improving LLM and AI agent applications. It combines tracing, evals, simulations, datasets, a gateway and guardrails on one platform with a feedback loop. The Apache 2.0 core can be self-hosted, and a managed Cloud option is offered.
A Clojure dataframe library that runs on Apache Spark.
H2O Sparkling Water is an open-source GitHub repository maintained by the h2oai organization. It provides H2O machine learning functionality that can run inside Apache Spark clusters. The repository includes getting started guides, user documentation, binary download options, and resources for testing the tool.
Apache Hadoop is an open-source project that develops software for reliable, scalable, distributed computing. Its library is a framework for distributed processing of large data sets across clusters of computers using simple programming models, scaling from single servers to thousands of machines with local computation and storage, and detecting failures at the application layer.
Distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
HyperFrames lets AI agents compose videos by writing HTML, CSS & JS — originated by HeyGen, built for the community. Open source under Apache 2.0.
II-Commons-Skills provides fast, deterministic retrieval across arXiv, PubMed / PMC and supported US policy corpora, distributed as an npm package and CLI requiring Node.js 18 or newer. Basic usage works without authentication, and an API token is available for higher usage limits. It is licensed under Apache-2.0.
Kokoro-82M is an open-weight text-to-speech model with 82 million parameters, released under the Apache 2.0 license. It delivers audio quality comparable to larger TTS models while being faster and more cost-efficient, and its weights can be deployed in both production and personal environments.
LLMKube is a Kubernetes operator for self-hosted large language model inference across heterogeneous GPU fleets supporting NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal. It supports runtimes including llama.cpp, vLLM, TGI, and mlx-server, offers multi-GPU sharding, model caching, and OpenAI-compatible endpoints. It is licensed under Apache-2.0 and designed for homelab and on-prem fleet deployment, and is actively developed.
LMFlow is a toolkit for finetuning and inference of large foundation models, presented as extensible, convenient and efficient. It offers support for custom optimizer training, conversation templates, speculative decoding, long context inference with position interpolation for LLaMA models, and Flash Attention-2. The project is released under the Apache-2.0 license and was made available on PyPI.
Apache Mahout builds an environment for quickly creating scalable, performant machine learning applications. Its current work centers on quantum machine learning in Python, with Qumat, a high-level library for writing quantum circuits once and running them on supported backends, and QDP, a GPU-accelerated engine that turns classical data into quantum states. The earlier Mahout Classic codebase is in maintenance mode.
Mixtral-8x7B-v0.1 is a pretrained generative Sparse Mixture of Experts large language model developed by Mistral AI, hosted on the Hugging Face platform under the mistralai/Mixtral-8x7B-v0.1 repository, and released under the Apache 2.0 license.
MLflow is an open source AI engineering platform for agents, LLMs, and ML models. It provides tools for debugging, evaluating, monitoring, and optimizing AI applications, including tracing, evaluation metrics, prompt management, an AI gateway, and an agent server. The project is released under the Apache 2.0 license.
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.
NVIDIA NeMo Speech is a framework built for researchers and developers working on speech AI, including automatic speech recognition and text-to-speech. The repository provides open weight checkpoints and demos through a Hugging Face collection. It is licensed under Apache-2.0 and has pivoted to focus on audio, speech, and multimodal LLMs.
Neuroph is a lightweight, open source Java neural network framework released under the Apache 2.0 license. It provides a Java library and a GUI editor, Neuroph Studio, based on the NetBeans Platform, for creating, training and saving neural networks. It supports architectures including Perceptron, Multi Layer Perceptron, Hopfield, Kohonen and RBF networks, and both supervised and unsupervised learning rules.
NeverWrite is a local-first knowledge workspace for notes and documents with AI assistance. Notes stay in a folder on the computer, and every AI edit arrives as a reviewable change that can be accepted, rejected or refined before it is written to the vault. It is free, open source under Apache 2.0, requires no account, and connects to models the user already pays for.
OpenLIT is an open-source agent harness engineering platform built on OpenTelemetry. It provides tracing, evaluations, guardrails, prompt and context management, and cost and GPU monitoring for the harness around AI agents and coding agents. It is free to self-host under Apache 2.0 and is described as working with many models, frameworks and harnesses.
Apache OpenNLP is a machine learning based toolkit for the processing of natural language text. It supports tasks such as sentence segmentation, tokenization, lemmatization, part-of-speech tagging, named entity extraction, chunking, parsing, language detection and coreference resolution. The project is developed by volunteers and welcomes contributions, from small documentation fixes to new components.
