A gallery that showcases on-device ML/GenAI use cases and allows people to try and use models locally.




A gallery that showcases on-device ML/GenAI use cases and allows people to try and use models locally.




Stable Video 4D (SV4D) is a generative model based on Stable Video Diffusion (SVD) and Stable Video 3D (SV3D), which takes in a single-view video of an object and generates multiple novel-view videos (4D image matrix) of that object.





With a few images, you can deploy a computer vision model in an afternoon. Roboflow empowers developers to build their own computer vision applications, no matter their skillset or experience. We streamline the process between labeling your data and training your model.



Transform institutional knowledge into frontier-grade LLMs—without infrastructure burden or cloud lock-in.

Plexe AI enables you to create, train, and deploy machine learning models using simple English commands — no coding required.


Corpus2GPT: A project enabling users to train their own GPT models on diverse datasets, including local languages and various corpus types, using Keras and compatible with TensorFlow, PyTorch, or JAX backends for subsequent storage or sharing.

Image annotation tool for modern computer vision. Easy to use, great for teams of all sizes. Hooks into training pipelines, designed around the latest State of the Art computer vision models.




Liner is a free tool that lets you train your ML models easily. It takes your training data and gives you an easy-to-integrate ML model.
An AI API platform offering 200+ AI models with a single and secure API endpoint, enabling developers and businesses to integrate all major AI models into applications and existing systems/.

Run advanced open-source AI applications in a cloud-based browser workspace. Enjoy features like image processing, speech conversion, and enhanced data security.




Run and fine-tune generative AI models with easy-to-use APIs and highly scalable infrastructure. Train and deploy models at scale on our AI Acceleration Cloud and scalable GPU clusters. Optimize performance and cost.

The main purpose of PoolCompute is to provide decentralized, affordable GPU rentals for AI, machine learning, and high-performance computing tasks, ensuring cost-effective and scalable access to powerful computing resources.

Trainwave.ai unifies GPUs from multiple cloud providers into one scalable pool. With a simple job runner plus built-in metrics, logs, and artifact storage, it streamlines AI/ML training so teams can focus on models, not infrastructure.





AWS Neuron is the software development kit (SDK) used to run deep learning and generative AI workloads on AWS Inferentia- and AWS Trainium-powered Amazon Elastic Compute Cloud (Amazon EC2) instances. It includes a compiler, runtime, training and inference libraries, and...
Hugging Face Generative AI Services (HUGS) are optimized, zero-configuration inference microservices designed to simplify and accelerate the development of AI applications with open models. Built on open-source Hugging Face technologies such as Text Generation Inference or...

Train AI models with your data in minutes, not weeks, and get better performance at lower cost. Integrates with open-source and proprietary foundation models.



Tensorplex combines blockchain and artificial intelligence (AI) to make advanced technology accessible and encourage its growth. They work in areas like liquid staking of AI tokens, securing AI networks, and sourcing high-quality data to support future AI developments.

CreativePixel is an AI-powered creative studio that transforms "I wish I could..." into "Look what I made!" No design expertise needed - just select a tool and watch the magic unfold.


