Singer Reviews

TensorFlow Reviews

Singer mentions (7)

• Why do companies still build data ingestion tooling instead of using a third-party tool like Airbyte?

  Coincidently, I saw a presentation today on a nice half-way-house solution: using embeddable Python libraries like Sling and dlt - both open-source. See https://www.youtube.com/watch?v=gAqOLgG2iYY There is also singer.io which is more of a protocol than a library, but can also be installed although it looks like it is a true community effort and not so well maintained. Source: over 2 years ago

• Data sources episode 2: AWS S3 to Postgres Data Sync using Singer

  Singer is an open-source framework for data ingestion, which provides a standardized way to move data between various data sources and destinations (such as databases, APIs, and data warehouses). Singer offers a modular approach to data extraction and loading by leveraging two main components: Taps (data extractors) and Targets (data loaders). This design makes it an attractive option for data ingestion for... - Source: dev.to / about 3 years ago

• CDC (Change Data Capture) with 3rd party APIs

  Or you could build your own such system and run it on Airflow, Prefect, Dagster, etc. Check out the Singer project for a suite of Python packages designed for such a task. Quality varies greatly, though. Source: almost 4 years ago

• Looking to build a database for BI reports

  This is good advice and I think Airbyte created a great product here. I tried singer.io and pipewise but Airbyte is much better in my opinion and I love the UI. Source: almost 5 years ago

• Recommendation for approach for populating and refreshing new data lake

  Suspect my question should have been regarding FREE systems, rather than BUYING a system. Sounds like singer.io will do what I need. Source: about 5 years ago

TensorFlow mentions (8)

• Why 70% of Americans See AI as a Wealth Inequality Machine: The Developer's Role in Building Fairer Tech

  The open-source movement offers hope here. Projects like Hugging Face are democratizing access to state-of-the-art models, while initiatives like Google's TensorFlow provide powerful frameworks without licensing costs. But even open-source solutions require technical expertise that many lack. - Source: dev.to / 5 months ago

• Creating Image Frames from Videos for Deep Learning Models

  Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 3 years ago

• Need help with a Tensorflow function

  So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: about 4 years ago

• Help: Slow performance with windows 10 compared to Ubuntu 20.04 with TF2.7

  Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: about 4 years ago

• [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?

  I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: over 4 years ago