Hyperdash vs Google AI Edge Gallery

Hyperdash is a machine learning monitoring platform built for data scientists. Track the status of your training with real-time alerts and stream console logs from your machine to any device. • Watch the status of your training in real-time • Track full console logs for each training run, past and present • See stack traces if the run fails • Easily contact the developers via text to fix bugs or add features Learn more at hyperdash.io === Hyperdash's open-source Python SDK: === • Supports all python 2.7 and 3.x machine learning libraries, including Keras, Tensorflow, Theano, PyTorch, and more! • Works with both cloud instances and local machines (you can even use both at the same time!) • Security and privacy are paramount to us - your data set never touches our servers === How To Guide === Download our Python SDK (supports 2.7 & 3.x) using pip and signup from the command line: $ pip install hyperdash && hyperdash signup Try a test run: $ hyperdash demo Then use the same email and password to log in to the iPhone app and view your demo run in real-time! Follow the examples and documentation on our website and GitHub page to add Hyperdash to your machine learning project.

AI Edge Gallery is the premier destination for running the world’s most powerful open-source Large Language Models (LLMs) on your mobile device. Experience high-performance Generative AI directly on your hardware—fully offline, private, and lightning-fast. Now Featuring: EmbeddingGemma 2 This update brings official support for the newly released EmbeddingGemma 2 model. With this release, we bring cutting edge, multimodal semantic search running 100% on your device. Try out these new capabilities in our new features Instant Media Search and Video Moment Finder. Core Features - Agent Skills: Transform your LLM from a conversationalist into a proactive assistant. Use the Agent Skills tile to augment model capabilities with tools like Wikipedia for fact-grounding, interactive maps, and rich visual summary cards. You can even load modular skills from a URL or browse community contributions on GitHub Discussions. - AI Chat with Thinking Mode: Engage in fluid, multi-turn conversations and toggle the new Thinking Mode to peek "under the hood." This feature allows you to see the model’s step-by-step reasoning process, which is perfect for understanding complex problem-solving. Note: Thinking Mode currently works with supported models, starting with the Gemma 4 family. - Instant Media Search: Explore your photo library (or built-in sample media) with fast, search-as-you-type natural language queries and image-to-image similarity matching—with zero cloud roundtrips. - Video Moment Finder: Pinpoint exact moments inside videos using natural language descriptions. Jump straight to highlighted timestamps on an interactive timeline, trim clips, and save or export your favorite moments - Ask Image: Use multimodal power to identify objects, solve visual puzzles, or get detailed descriptions using your device’s camera or photo gallery. - Audio Scribe: Transcribe and translate voice recordings into text in real-time using high-efficiency on-device language models. - Prompt Lab: A dedicated workspace to test different prompts and single-turn use cases with granular control over model parameters like temperature and top-k. - Mobile Actions: Unlock offline device controls and automated tasks powered entirely by a finetune of FuntionGemma 270m. - Tiny Garden: A fun, experimental mini-game that uses natural language to plant and harvest a virtual garden using a finetune of FunctionGemma 270m. - Model Management & Benchmark: Gallery is a flexible sandbox for a wide variety of open-source models. Easily download models from the list or load your own custom models. Manage your model library effortlessly and run benchmark tests to understand exactly how each model performs on your specific hardware. - 100% On-Device Privacy: All model inferences happen directly on your device hardware. No internet is required, ensuring total privacy for your prompts, images, and sensitive data. Built for the Community AI Edge Gallery is an open-source project designed for the developer community and AI enthusiasts alike. Explore our example features, contribute your own skills, and help shape the future of the on-device agent ecosystem. Check out the source code on GitHub: https://github.com/google-ai-edge/gallery Note: This app is in active development. Performance is dependent on your device's hardware (CPU/GPU). For support or feedback, contact us at google-ai-edge-gallery-android-feedback@google.com.