The best alternatives to Paperspace are GPT-4 by OpenAI, Vagon, and Evidently AI. If these 3 options don't work for you, we've listed over 20 alternatives below.
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GPT-4 is a multimodal model developed by OpenAI that can understand and generate human-like text based on the context provided. It is used in various applications, such as content creation, customer support, coding help, and educational tools.
Vagon makes high-performance computing accessible from any device, delivering top-tier performance without expensive hardware.
Our cloud solutions provide powerful workstations for creatives and real-time interactive 3D application streaming in the browser.
Powered by RTX-enabled NVIDIA GPUs and 4K streaming at 60 FPS with ultra-low latency, Vagon ensures smooth performance across 20+ regions worldwide. No limits. No boundaries. Just pure performance. π
Evidently helps evaluate, test and monitor your AI-powered products. From ML-based classifiers to LLM chatbots and agents. Built on top of the leading open-source library with over 20 million downloads: https://github.com/evidentlyai/evidently
Every day, interesting machine learning projects get posted to GitHub, but they soon disappear into the abyss if you're not quick to bookmark them. I've created a small collection of ML projects that stood out to me from HN, reddit, and GitHub. Preference was given to open source projects witht an online demo. Let me know if I missed any!
Fritz AI is the machine learning platform for iOS and Android developers. Use the Studio to train custom solutions or use our SDK with pre-trained machine learning baked right in.
Zerveβs Data Science Development Environment gives data science and ML teams a unified space to explore, collaborate, build and deploy data science & AI projects.
Use high-performance cloud desktops for your everyday video editing, graphic design, and animation tasks. Collaborate with your team effortlessly by sharing media and resources.
Windows is a group of several proprietary graphical operating system families, all of which are developed and marketed by Microsoft. Each family caters to a certain sector of the computing industry.
Hello world! I am DLP for developers. You can "use" me to -among other things- Train and Deploy state of the art Caffe models for classifications without writing a single line of code. Image segmentation is also supported. I provide main modules of a DL application pipeline: Data, Net, Train, and Deploy. Can't wait to hear from you!
Anon is an automated machine learning cloud service. It delivers a data scientist as a service, at a fraction of the costs, without needing to have machine learning knowledge.
This is a plugin for Figma that makes your life easier. Easier gradients helps you with those annoying parts you always wished you didn't have to go through, like flipping gradients, or choosing the exact angle you want. Make Figma Gradients, easier.
Continual is the easiest way to build continually improving predictive models - from customer churn to inventory forecasts - directly on your cloud data warehouse.
Pocket AutoML lets AI enthusiasts even without any prior machine learning expertise train a deep learning image classification model, export it in TensorFlow Lite format and make a custom Android app based on it following the provided tutorial.
Scale your machine learning development from research to production with an end-to-end solution that gives your data science team all the tools they need in one place.ββ
Google Colab has become a reference point for many web developers and AI enthusiasts. Each notebook has a unique link from which it can be accessed. Consequently, why not create a website where you can browse, add and collect all the Jupyter notebooks?