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Google Cloud TPU VS GoLearn

Compare Google Cloud TPU VS GoLearn and see what are their differences

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Google Cloud TPU logo Google Cloud TPU

Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.

GoLearn logo GoLearn

GoLearn is a machine learning library for Go that implements the scikit-learn interface of Fit/Predict.
  • Google Cloud TPU Landing page
    Landing page //
    2023-08-19
  • GoLearn Landing page
    Landing page //
    2023-10-07

Google Cloud TPU videos

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GoLearn videos

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GoLearn Pole Dancing iPhone App DayFly Review

More videos:

  • Review - Nikolai Bratkovski of Opencare.com Reviews GoLearn.io & Joshua Lombardo Bottema
  • Review - Ping Hsu From Spotted Properties Reviews GoLearn.io & Joshua Lombardo-Bottema

Category Popularity

0-100% (relative to Google Cloud TPU and GoLearn)

Google Cloud TPU

GoLearn

Data Science And Machine Learning
69 69%
Data Science And Machine Learning
31% 31
Data Dashboard
68 68%
Data Dashboard
32% 32
Data Science Tools
65 65%
Data Science Tools
35% 35
Technical Computing
52 52%
Technical Computing
48% 48

User comments

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Social recommendations and mentions

Based on our record, Google Cloud TPU should be more popular than GoLearn. It has been mentiond 5 times since March 2021. 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.

Google Cloud TPU mentions (5)

  • Pathways Language Model (Palm): 540B Parameters for Breakthrough Perf
    According to https://cloud.google.com/tpu, each individual TPUv3 has 420 Teraflops, and TPUv4 is supposed to double that performance, so if that guess is correct, it should take a few seconds to do inference. Quite impressive really. - Source: Hacker News / about 2 years ago
  • The AI Research SuperCluster
    You can also rent a cloud TPU-v4 pod (https://cloud.google.com/tpu) which 4096 TPUv-4 chips with fast interconnect, amounting to around 1.1 exaflops of compute. It won't be cheap though (excess of 20M$/year I believe). - Source: Hacker News / over 2 years ago
  • Stadia's future includes running the backend of other streaming platforms, job listing reveals
    Actually, that's done with TPUs which are more efficient: https://cloud.google.com/tpu. Source: over 2 years ago
  • Nvidia CEO: Ethereum Is Going To Be Quite Valuable, Transactions Will Still Be A Lot Faster
    TPU training uses Google silicon and is thus a true deep learning alternative to Nvidia. Source: almost 3 years ago
  • Server Question
    The server choice really depends on how much CPU and RAM the requests take, how many users will be hitting the server, etc. You can start with a $5/month Digital Ocean server (or AWS or Google) and see if that works for you. Or you can outsource the server administration to Amazon or Google if you don't want to deal with it or need specialized tpu hardware. Source: about 3 years ago

GoLearn mentions (1)

  • Multi-layer neural network from scratch in Go
    If you're curious about a more robust machine learning library in Go, https://github.com/sjwhitworth/golearn is a quite feature-rich option. Source: over 2 years ago

What are some alternatives?

When comparing Google Cloud TPU and GoLearn, you can also consider the following products

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

machine-learning in Python - Do you want to do machine learning using Python, but you’re having trouble getting started? In this post, you will complete your first machine learning project using Python.

Amazon Forecast - Accurate time-series forecasting service, based on the same technology used at Amazon.com. No machine learning experience required.

AWS Personalize - Real-time personalization and recommendation engine in AWS

python-recsys - python-recsys is a python library for implementing a recommender system.

Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

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