Keras
TensorFlow
PyTorch
Scikit-learn
TFlearn
OpenCV
Clarifai
DeepPy
rdkafka
Kafka Manager
NSQ
KafkaHQ
KafkaCenter
Apache Kafka
ZeroMQ
Make.com
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Based on our record, Keras should be more popular than rdkafka. It has been mentiond 35 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.
The unchallenged leader in AI development is still Python. And Keras, and robust community support. - Source: dev.to / 17 days ago
If you need simplicity, Keras is a great high-level API built on top of TensorFlow. It lets you quickly prototype neural networks without worrying about low-level implementations. Keras is perfect for getting those first models up and running—an essential part of the startup hustle. - Source: dev.to / 7 months ago
At its heart is TensorFlow Core, which provides low-level APIs for building custom models and performing computations using tensors (multi-dimensional arrays). It has a high-level API, Keras, which simplifies the process of building machine learning models. It also has a large community, where you can share ideas, contribute, and get help if you are stuck. - Source: dev.to / 7 months ago
The core model architecture for Magika was implemented using Keras, a popular open source deep learning framework that enables Google researchers to experiment quickly with new models. - Source: dev.to / 11 months ago
As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development. - Source: dev.to / about 1 year ago
We could have made some changes at the librdkafka level (see this), but we didn’t really want to pursue this (at least not yet). - Source: dev.to / over 2 years ago
As my first "real world" (ish) project in Vlang, I'm trying to copy https://github.com/confluentinc/confluent-kafka-go, which is a Go wrapper for Kafka C client library, https://github.com/edenhill/librdkafka. Source: over 2 years ago
If you're using Kafka in a Node.js app, it's likely that you'll need node-rdkafka. This is a library that wraps the librdkafka library and makes it available in Node.js. According to the project's README, "All the complexity of balancing writes across partitions and managing (possibly ever-changing) brokers should be encapsulated in the library.". - Source: dev.to / over 2 years ago
You are right, but in practice that's not what happens. Companies do not rely on open source libraries, the developers working for such companies do. I can give you a realistic example. If you want to use Kafka and Go, your probably only option is to use https://github.com/confluentinc/confluent-kafka-go. Its LICENSE explicitly says "no warranty". Now, what if I find a bug in the library? Only two realistic... - Source: Hacker News / over 2 years ago
Librdkafka – An Apache Kafka C/C++ client library\ (9 comments). Source: about 3 years ago
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
Kafka Manager - A tool for managing Apache Kafka.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
NSQ - A realtime distributed messaging platform.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
KafkaHQ - Kafka GUI for Apache Kafka to manage topics, topics data, consumers group, schema registry, connect and more... - tchiotludo/kafkahq