github.com
Deep cybersecurity research agent for your cloud, code and runtime. Read-only, sandboxed.
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github.com
Train and run a computer vision model with 5-10 lines of code.
digitalocean.com
Run AI products in production with a unified stack for agents, inference, and cloud—built for control, performance, and economics at scale.
ellipsis.dev
Ellipsis runs coding agents in cloud sandboxes and reviews every pull request. Agents are YAML files in your repository.
replicate.com
Uses pixray to generate an image from text prompt.
elephas.app
Private AI for Mac that redacts sensitive data before any cloud call. Built for lawyers, consultants & accountants. Run fully offline.
emgu.com
Cross platform wrapper of OpenCV which can be compiled in Mono to be run on Windows, Linus, Mac OS X, iOS, and Android.
github.com
Running large language models on a single GPU for throughput-oriented scenarios. (Archived).
github.com
A Clojure dataframe library that runs on Apache Spark.
github.com
Open Bilingual Pre-Trained Model, quantization of ChatGLM-130B, can run on consumer-level GPUs.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
GPU cluster manager for running and managing LLMs.
github.com
Run LLM backends, APIs, frontends, and services with one command.
heyvid.ai
HeyVid is your all-in-one video and image generator. Access 18+ top models including Kling, Sora, Runway, Midjourney and Flux. Create content free.
github.com
Open-source managed agent runtime for distributed AI agents.
heyjuno.co
Juno crafts studies, leads interviews, and reveals the why — customer research run by AI.
github.com
Run Keras models in the browser, with GPU support provided by WebGL 2.
github.com
Build, packaging, and run system for ephemeral multi-container environments.
metabob.com
Metabob is a real-time, intelligent code analysis engine that runs in parallel with generative AI coding tools.
github.com
500+ ML/AI interview Q&A with runnable code — covers ML fundamentals, deep learning, NLP, PyTorch, scikit-learn pipelines, and system design.
github.com
Generic mechanism for data scientists to build, run, and monitor ML tasks and pipelines.
github.com
The simplest way to run an LLM locally. Supports tool calling and grammar constrained sampling.
github.com
Open-source module for running AI workloads on Kubernetes in an optimized way.
github.com
React Native app for running LLMs, vision models, and Stable Diffusion on-device on iOS and Android without internet access. opensource.