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Published directory entries matching your search.
Traceloop OpenLLMetry is an open-source observability tool for GenAI and LLM applications, based on OpenTelemetry and maintained by Traceloop. It provides instrumentation for vector databases and frameworks, and includes documentation on getting started and supported destinations.
Triton Inference Server is open source inference serving software that streamlines AI inferencing. It enables teams to deploy models from multiple deep learning and machine learning frameworks across cloud, data center, edge and embedded devices.
Tune is a Python library for experiment execution and hyperparameter tuning at any scale. It supports machine learning frameworks including PyTorch, XGBoost, and TensorFlow and Keras, and runs algorithms such as Population Based Training (PBT) and HyperBand/ASHA. It also integrates with hyperparameter optimization tools including Ax, BayesOpt, BOHB, Nevergrad, and Optuna.
Vald is a highly scalable distributed vector search engine. It is hosted on GitHub and provides documentation on installation using Helm, requirements, and usage. The project focuses on delivering a scalable solution for vector search.
Valohai is an MLOps platform for AI products that combine LLMs and specialized models. It provides experiment tracking, data versioning, hyperparameter optimization, pipeline automation and compute orchestration, and runs on existing AWS, Azure, GCP or on-prem infrastructure. Pricing is per user license across Pro and Enterprise tiers.
Scalable, fast, and disk-friendly vector search in Postgres, the successor of pgvecto.rs.
VectorDB is a Python vector database designed to be simple and sufficient. It can be used locally or as a service, with server and client components. The project emphasizes ease of use for vector database needs.
Vellum is a personal AI assistant available locally or in the cloud, with long-term memory across conversations. It can send emails, manage calendars, browse the web, create slides, write code, run research, and execute recurring background tasks. It offers fine-grained permissions requiring approval for high-stakes actions until marked trusted. Two plans exist: Base (free) and Pro packages Mighty, Super, and Ultra.
Gemini Enterprise Agent Platform, formerly known as Vertex AI, is a comprehensive platform for developers to build, scale, govern, and optimize agents. It provides tools and services for agent lifecycle management.
Vespa is an AI search platform. Its repository contains the code required to build and run Vespa. The project covers searching, making inferences in and organizing vectors, tensors, text and structured data at serving time and any scale. It is licensed under Apache 2.0.
Machine Learning Operations - An awesome list of references for MLOps.
Wallaroo.AI supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Weights & Biases is an open-source AI developer platform. It is used to train and fine-tune machine learning models, and manage models across the full lifecycle from experimentation to production. The associated wandb library is hosted in a public GitHub repository.
Documentation for Weights & Biases (Prompts), covering setup, features, and practical usage.
xTuring is an open-source project for building, personalizing, and controlling LLMs, covering data pre-processing through fine-tuning. It includes a simple API for data prep, training, and inference, LoRA and low-precision (INT8/INT4) support, and built-in evaluation metrics such as perplexity. Models can run locally or in a private VPC and scale from CPU to multi-GPU.
ZenML is an open-source AI platform for building workflows that run on various infrastructure backends. It allows writing pipelines containing Python logic, such as model training or agentic loops, and tracks runs with metrics, logs and metadata. It integrates with tools and infrastructure including MLflow, LangGraph, Langfuse, Sagemaker and GCP Vertex.
ACE-Step 1.5 supports machine learning models, deployment, inspection, datasets, or AI development workflows.
ADK-Rust is a GitHub repository for the Rust Agent Development Kit, a flexible framework for building AI agents in Rust. It includes modular components for models, tools, memory, and realtime voice support, is model-agnostic and deployment-agnostic, and is optimized for frontier AI models.
AGENTS.inc provides autonomous AI agents for enterprise marketing, sales and market intelligence, offered as Agents-as-a-Service. Two deployment models are offered: agents hosted and maintained by the company, or deployed into the customer's own infrastructure. The company states its agents are grounded in customer systems of record and that outputs carry source provenance.
prompts.chat is a community platform for discovering, collecting and sharing AI prompts for ChatGPT, Claude, Gemini and other models. It is free and open source, and can be self-hosted for private deployments. An MCP-first API supports searching and discovering prompts programmatically.
Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
Detectron2 is Facebook AI Research's next generation library providing detection and segmentation algorithms, succeeding Detectron and maskrcnn-benchmark. It supports computer vision research projects and production applications at Facebook and includes capabilities such as panoptic segmentation, Densepose, Cascade R-CNN, rotated bounding boxes, PointRend, DeepLab, ViTDet and MViTv2. Models can be exported to TorchScript or Caffe2 format for deployment.
DSSTNE is an open source library from Amazon for training and deploying recommendation models with sparse inputs, fully connected hidden layers and sparse outputs. It is designed for production deployment emphasizing speed and scale, and supports multi-GPU training and prediction. The repository was archived and is read-only.
