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Awesome AutoDL is a curated list of automated deep learning resources and an in-depth analysis, subtitled that neural architecture search is not the end. It collects papers, libraries and benchmarks covering neural architecture search and hyper-parameter optimization.
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.
Backprop is a Python library, installable via PyPi, that enables use, finetuning and deployment of machine learning models. It provides task interfaces for conversational question answering, text classification in over 100 languages, image classification, summarisation, emotion detection and text generation, and models can be finetuned with a single line of code.
BambooAI is an LLM-driven data analyst tool that operates in a persistent Python kernel. It is available as a web app with Docker-isolated execution, supports user-provided model keys, and is compatible with open weights models via provider or local deployment.
Banana provides GPU inference hosting for AI teams. The platform scales GPUs up and down automatically and includes monitoring, business analytics, a CLI, SDKs, and an open automation API. Backends can be written with Potassium, an open-source HTTP framework. Paid Team and Enterprise tiers are offered.
BayesPy is an open-source Python library that provides tools for performing Bayesian inference. It is hosted as a public repository on GitHub where users can access the code and contribute to its development.
Beam provides a bare-metal cloud for agents, with persistent forkable microVMs that boot in seconds and can be paused, resumed, network-isolated and GPU-accelerated. Virtual machines are billed per second while running, with no compute charges while stopped. The platform also offers serverless GPU tasks, sandboxes and on-demand GPU machines.
BHTwitter is a tweak for Twitter that adds features and customization options, including removing ads and accessing Twitter Blue features. It relies on feature flags, and the project notes that Twitter/X added Attestation to prevent use of third-party or modified clients. Builds cover rootfull, rootless, TrollStore, and sideloaded deployment.
An open-source LLM gateway with routing, load balancing, guardrails, and observability for 1000+ models. opensource.
bitnet.cpp is the official inference framework for 1-bit LLMs such as BitNet b1.58. It provides optimized kernels for inference of 1.58-bit models on CPU and GPU, with NPU support stated as coming next. The repository includes documentation and setup scripts, and the project is released under the MIT license.
This is the official blog for Wren AI, which publishes practical guides covering GenBI, text-to-SQL, context layers, AI agents, embedded analytics, and secure self-hosted deployment for data teams. Posts include topics such as the role of context in AI agent performance and migrating open-source Wren projects to the cloud.
BudgetML is a tool for deploying a machine learning inference service to a secured HTTPS API endpoint with less than 10 lines of code. It runs the model on a Google Cloud Platform preemptible instance, generates a FastAPI server endpoint, and provides interactive Swagger docs. The project states that the library is not being actively maintained.
BurnRate is an AI usage analytics tool that tracks costs, tokens and usage patterns across AI coding providers. It connects OpenAI and Anthropic reporting accounts for provider-reported spend and offers a local CLI for session-level detail. Cloud workspaces come in Free, Pro at $12/month and Team at $29/seat/month plans.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
ByteHub is an open-source tool designed to simplify the creation and management of feature stores. It is maintained as a public repository on GitHub under the bytehub-ai organization, with documentation and tutorials available for users.
Cabernet is a modular appliance that cleans, organizes and repackages IPTV streams for media clients. It merges M3U and XMLTV data, manages channels, and supports M3U8 streaming through FFMPEG or internally. It offers M3U and HDHomeRun interfaces and was tested with TVheadend, Emby, Jellyfin, Plex and VLC. Deployment uses Python 3.7 or greater.
Helps teams build, deploy, observe or operate machine-learning systems.
Helm chart for Mastodon deployment in Kubernetes
CHICKEN is a compiler for the Scheme programming language that produces portable and efficient C. It supports the R5RS and R7RS standards and many extensions, runs on Linux, OS X, Windows, and many Unix flavours, and is distributed free under the BSD License. Libraries and extensions are available at Eggs Unlimited.
A personal blog about AI system design and bringing AI into production. Posts cover topics including generative AI applications, agents, multimodal models, LLM research challenges, model routing, generation configurations, and machine learning systems.
Chroma is open-source search infrastructure for AI under Apache 2.0. It supports vector, full-text, regex and metadata search, built on object storage. Chroma Cloud offers serverless, scalable deployment with usage-based pricing.
Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
Clip-as-a-service is an open-source tool that provides scalable embedding, reasoning, and ranking capabilities for images and text using the CLIP model. It is maintained as a public repository on GitHub under the jina-ai organization, with documentation and installation guides available.
) - A 1-click deployment and management tool for nostr-rs-relay and other appliances.
