Search Results for "image host"
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Showing 8 open source projects for "image host"
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$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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AgentENV
Distributed platform for running agent environments at scale
...It uses Firecracker microVMs to provide strong sandboxing while loading diverse OCI-compatible images on demand. Overlay-based storage and bounded local caching keep frequently used data close without requiring every image to fit on each host. Snapshot-backed sandboxes can pause, resume, fork, and persist memory and filesystem changes for parallel or recoverable workflows. The platform includes an aenv command-line interface for creating templates, starting shells, executing commands, and managing sandbox lifecycles. Its E2B-compatible HTTP API lets existing Python and TypeScript integrations target a self-hosted deployment with minimal changes. ... -
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dsh-web
DeepSeek Harness (DSH) Web
...Its capabilities are packaged as independent plugins that can be installed, replaced, or extended without modifying the DSH source code. The suite adds performance monitoring, agent presets, a task board, mobile remote control, SSH operations, image understanding, and an enhanced workspace panel. Tasks can be organized on a multi-column board and scheduled for real execution through cron expressions. Remote features support paired mobile or desktop access, while SSH tools provide terminals, file transfers, tunnels, and multi-host commands. A workshop system also distributes community plugins, themes, skins, and visual assets. -
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MiniMax-MCP
Official MiniMax Model Context Protocol (MCP) server
...It acts as a bridge between tools like Claude Desktop, Cursor, Windsurf, OpenAI Agents, and the MiniMax platform, exposing capabilities such as text-to-speech, voice cloning, image generation, text-to-image, video generation, image-to-video, text-to-video, and music generation. The server is written in Python and distributed under the MIT license, with a pyproject.toml and uv-based workflow that makes installation and execution reproducible. Configuration is handled through JSON files that tell MCP clients how to launch the server (typically via uvx minimax-mcp) and which environment variables to use for the API key, host, and output directory. ... -
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LibreChat
Enhanced ChatGPT Clone: Features Agents, MCP, DeepSeek, Anthropic, etc
LibreChat is an open-source AI chat platform designed to give users full control over their conversational AI experience by letting them self-host and integrate with a wide range of large language models. It serves as a flexible alternative to commercial AI chat services by allowing connections to providers like OpenAI, Anthropic Claude, Google Vertex, AWS Bedrock, and more, all while keeping your data private on infrastructure you control. The project features a sleek, intuitive interface... -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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Laminar
Open-source all-in-one platform for engineering AI products
...You can use it to set up better evaluations, as dynamic few-shot examples, and for fine-tuning. All traces are sent in the background via gRPC with minimal overhead. Tracing of text and image models is supported, audio models are coming soon. You can set up LLM-as-a-judge or Python script evaluators to run on each received span. Evaluators label spans, which is more scalable than human labeling, and especially helpful for smaller teams. Laminar lets you go beyond a single prompt. You can build and host complex chains, including mixtures of agents or self-reflecting LLM pipelines. -
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Anse
Supercharged experience for multiple models such as ChatGPT
...The architecture includes a plugin/provider system so that new model endpoints or providers can be added easily, making it extensible. While it’s designed for end-users, developers can self-host and customize it, adjust parameters, or adapt its UI to match specific needs. -
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BCI
BCI: Breast Cancer Immunohistochemical Image Generation
Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix. We have released the trained model on BCI and LLVIP datasets. We host a competition for breast cancer immunohistochemistry image generation on Grand Challenge. Project pix2pix provides a python script to generate pix2pix training data in the form of pairs of images {A,B}, where A and B are two different depictions of the same underlying scene, these can be pairs {HE, IHC}. -
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SageMaker MXNet Training Toolkit
Toolkit for running MXNet training scripts on SageMaker
SageMaker MXNet Training Toolkit is an open-source library for using MXNet to train models on Amazon SageMaker. For inference, see SageMaker MXNet Inference Toolkit. For the Dockerfiles used for building SageMaker MXNet Containers, see AWS Deep Learning Containers. For information on running MXNet jobs on Amazon SageMaker, please refer to the SageMaker Python SDK documentation. With the SDK, you can train and deploy models using popular deep learning frameworks Apache MXNet and TensorFlow....
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