Based on our record, PyTorch seems to be a lot more popular than rdkafka. While we know about 106 links to PyTorch, we've tracked only 7 mentions of rdkafka. 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.
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 1 year 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 1 year 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 1 year 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 1 year ago
Librdkafka – An Apache Kafka C/C++ client library\ (9 comments). Source: about 2 years ago
TensorFlow, developed by Google, and PyTorch, developed by Facebook, are two of the most popular frameworks for building and training complex machine learning models. TensorFlow is known for its flexibility and robust scalability, making it suitable for both research prototypes and production deployments. PyTorch is praised for its ease of use, simplicity, and dynamic computational graph that allows for more... - Source: dev.to / 17 days ago
*My post explains Dot, Matrix and Element-wise multiplication in PyTorch. - Source: dev.to / about 2 months ago
Import torch # we use PyTorch: https://pytorch.org Data = torch.tensor(encode(text), dtype=torch.long) Print(data.shape, data.dtype) Print(data[:1000]) # the 1000 characters we looked at earlier will to the GPT look like this. - Source: dev.to / 3 months ago
AI's Open Embrace Artificial intelligence (AI) and machine learning (ML) are increasingly leveraging open-source frameworks like TensorFlow [https://www.tensorflow.org/] and PyTorch [https://pytorch.org/]. This democratization of AI tools is driving innovation and lowering entry barriers across industries. - Source: dev.to / about 2 months ago
Which label applies to a tool sometimes depends on what you do with it. For example, PyTorch or TensorFlow can be called a library, a toolkit, or a machine-learning framework. - Source: dev.to / about 2 months ago
Kafka Manager - A tool for managing Apache Kafka.
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.
KafkaCenter - See what developers are saying about how they use KafkaCenter. Check out popular companies that use KafkaCenter and some tools that integrate with KafkaCenter.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
KafkaHQ - Kafka GUI for Apache Kafka to manage topics, topics data, consumers group, schema registry, connect and more... - tchiotludo/kafkahq
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.