github.com
Fast inference engine for Transformer models in C++.
Directory
Search results
Published directory entries matching your search.
Filters
github.com
Curated list of awesome vector search framework/engine, library, cloud service and research papers to vector similarity search.
github.com
Cynative is an open-source project offering security agents for cloud, code, and runtime environments. It includes 45 built-in agents that audit AWS, GCP, Azure, Kubernetes, GitHub, and GitLab for issues including privilege escalation, public exposure, and supply chain vulnerabilities, and supports creating custom agents in a single markdown file with live read-only infrastructure access.
dagshub.com
DagsHub is an AI platform for managing the machine learning lifecycle, covering dataset curation and annotation, experiment tracking, and model management. It supports unstructured and multimodal data such as text, images, audio, video, and documents. The platform is built on open source tools and formats. DagsHub states it does not currently provide compute resources and relies on the user's own infrastructure.
jameskle.com
Datacast is the personal blog and podcast series of James Le. It features written posts and podcast episodes covering topics such as data infrastructure, data observability, responsible AI, product management, and data engineering.
github.com
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
deepspeed.ai
DeepSpeed is a deep learning optimization library intended to make distributed training easy, efficient and effective. It offers system innovations including ZeRO, 3D-Parallelism, DeepSpeed-MoE and ZeRO-Infinity, and has been integrated with several open-source deep learning frameworks.
github.com
MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.
deploybase.ai
A market intelligence site for AI compute that tracks live GPU cloud and LLM API pricing, performance benchmarks and market data across AI infrastructure providers. It publishes comparisons of GPU cloud pricing by provider and of LLM performance versus cost, including articles on Azure, AWS, Google Cloud, CoreWeave and Lambda GPU offerings.
dify.ai
Dify is a platform for building agentic workflows on one canvas, covering agents, knowledge pipelines, models and tools. Deployments include Dify Cloud, a VPC or self-hosted setup, and a source-available Community Edition. The platform also supports RAG pipelines with AI model and tool support.
digitalocean.com
DigitalOcean describes an AI-native cloud platform with a unified stack for agents, inference and cloud infrastructure. Products listed include Managed Agents, Learning Services, Data Services, an Inference Engine with over 75 models, and core cloud services such as Droplets, Kubernetes and App Platform. Harness Runtime is listed starting at $0.0535/hr for durable cloud sandboxes for AI coding agents.
blog.dominodatalab.com
Dominodatalab supports deploying, serving, monitoring, or operating AI and machine-learning systems.
dosu.dev
Dosu is knowledge infrastructure for engineering teams and the coding agents they work with. It keeps documentation, specifications and agent memory current with code changes, and connects to tools such as GitHub, GitLab, Slack, Notion and Confluence. A free plan covers public repositories with 200 credits per month; the Pro plan is listed at $16/month with 4,000 credits per month.
edwardlib.org
Edward is a Python library for probabilistic modeling, inference, and criticism. It is a testbed for experimentation and research with probabilistic models, from hierarchical models on small data sets to deep probabilistic models on large data sets. It fuses Bayesian statistics and machine learning, deep learning, and probabilistic programming, and is built on TensorFlow.
github.com
Epsilla is a high-performance vector database hosted on GitHub under the epsilla-cloud organization. It leverages parallel graph computing for its operations, and offers an experimental option to use it as a Python library without requiring a Docker image, alongside Epsilla Cloud as a deployment option.
github.com
Eurybia is an open-source tool hosted on GitHub under the MAIF organization. It is designed to monitor model drift over time and secure model deployment processes through data validation functionality, with public documentation covering overview, quickstart, installation, features, and project background.
github.com
Evidently is an open-source observability framework for machine learning and large language models, hosted on GitHub under the evidentlyai organization. It enables users to evaluate, test, and monitor AI-powered systems and data pipelines, with support for use cases ranging from tabular data processing to generative AI, and includes more than 100 built-in metrics.
github.com
Faiss is a library for efficient similarity search and clustering of dense vectors, containing algorithms that search sets of vectors of any size. It is written in C++ with complete wrappers for Python/numpy, with some algorithms implemented on the GPU, and is developed primarily at Meta's Fundamental AI Research group.
github.com
FACTORIE is an open-source toolkit for deployable probabilistic modeling, implemented as a software library in Scala and hosted on GitHub under the factorie organization. It provides users with a succinct language for creating relational factor graphs, estimating model parameters, and performing inference, with documentation for installation, example usage, and pre-built NLP models.
getfailsafe.com
FailSafe builds autonomous penetration testing and continuous offensive security systems for applications, APIs, cloud infrastructure, and AI. Its SWARM platform deploys threat-model-driven AI agents that discover, chain, and exploit vulnerabilities, with findings mapped to MITRE ATT&CK, OWASP, and NIST CSF.
github.com
FeatherCNN is a lightweight CNN inference library developed by Tencent AI Platform Department, originating from a game AI project for King of Glory. It targets ARM CPUs and is developed for mobile phones, embedded devices and ARM-based servers. It accepts Caffe models, which are converted into a single binary model.
github.com
An enterprise-grade, high performance feature store.
flyte.org
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.
github.com
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.