Kaggle
Colaboratory
Driven Data
Numerai
HackerRank
DataSource.ai
Infosec Skills
DataHack & DSAT
Replicate.com
fal
OpenRouter
Hugging Face
Get Together AI
WaveSpeedAI
Modal
Eden AI
Replicate.comBased on our record, Kaggle seems to be a lot more popular than Replicate.com. While we know about 103 links to Kaggle, we've tracked only 8 mentions of Replicate.com. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
A good example: the results we published are one-shot success rates with no retries and no manual intervention. But we did re-run some failed tasks afterward. Take Task #197 on kaggle.com ("Identify the ongoing competition that offers the highest prize and find the code that received the most votes in that competition"). In our benchmark submission, it failed on an anti-bot block. On a subsequent run, TinyFish... - Source: dev.to / 4 months ago
The key to mastering data analysis is practice. Kaggle.com and World Bank provide hands-on experience with real-world data, helping you consolidate your learning and apply your skills. Trying small projects like: Analyzing Netflix ratings, Visualizing COVID-19 data and Cleaning messy sales data in Excel can help strengthen your skill. - Source: dev.to / about 1 year ago
Before you even build a model, you are going to need some kind of dataset. Usually a CSV or JSON file. You can build your own dataset from scratch using your own data, scrape data from somewhere, or use Kaggle. - Source: dev.to / over 1 year ago
Kaggle: For data science and machine learning competitions. - Source: dev.to / about 2 years ago
Need help with last minute python project (due today). Project involves choosing a dataset from kaggle.com to analyze and creating questions to answer through analyzing the data. I have a pdf file of the project guidelines if you want more details. Also on a budget. Source: about 3 years ago
You're building an app that generates images, transcribes audio, or synthesizes speech. Two API platforms keep showing up in your research: Replicate and deAPI. They run many of the same open-source models and charge per use. - Source: dev.to / 3 months ago
Replicate: Provides APIs for integrating diverse hosted models into shared pipelines. - Source: dev.to / 4 months ago
Running AI models in production typically requires managing complex infrastructure, GPUs, and scaling challenges. Replicate simplifies this by providing a cloud API to run thousands of AI models without managing any infrastructure. - Source: dev.to / 9 months ago
Before diving into how vision prompting works, let’s first look at where we can put it to the test. In this case, we’ll be using several endpoints available on Replicate, which we’ve optimized with Pruna to make them cheaper, faster, and more efficient. All of Pruna’s models are available here. - Source: dev.to / 10 months ago
Take Perplexity they didn’t just call the OpenAI API; they built a full-stack retrieval engine with caching, ranking, and live search inference. Or Replicate, which gives developers an API to run open-source models at scale, no data center required. RunPod makes GPU clusters accessible for indie builders, and Mistral is shipping models that make even GPT-4 blink twice. - Source: dev.to / 10 months ago
Colaboratory - Free Jupyter notebook environment in the cloud.
fal - Generative media platform for developers. Build the next generation of creativity with fal. Lightning fast inference.
Driven Data - DrivenData hosts data science competitions to build a better world, bringing cutting-edge predictive models to organizations tackling the world's toughest problems.
OpenRouter - A router for LLMs and other AI models
Numerai - Hedge fund that crowdsources market trading from AI programmers over the Internet
Hugging Face - The AI community building the future. The platform where the machine learning community collaborates on models, datasets, and applications.