Amazon Comprehend
spaCy
FuzzyWuzzy
Google Cloud Natural Language API
Microsoft Bing Spell Check API
Medallia
Chattermill
OpenNLP
CUDA Toolkit
TensorFlow
Keras
Scikit-learn
PyTorch
MLKit
Kira
Neuton.AI
Amazon ComprehendBased on our record, CUDA Toolkit should be more popular than Amazon Comprehend. It has been mentiond 41 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.
Speech-to-Text Conversion: The AudioProcessing class extracts and processes audio using Amazon Transcribe StartTranscriptionJob API . With IdentifyMultipleLanguages as True , Transcribe uses Amazon Comprehend to identify the language in the audio, If you know the language of your media file, specify it using the LanguageCode parameter. - Source: dev.to / about 1 month ago
To learn more about Amazon Comprehend: Official Page. - Source: dev.to / 7 months ago
Reference : https://aws.amazon.com/comprehend/. - Source: dev.to / 7 months ago
The exam also tests your knowledge of other managed AWS AI services, like Comprehend and Transcribe. These questions generally focused on identifying the appropriate service for a given scenario, which aligns more with the foundational category of the exam. - Source: dev.to / 9 months ago
Would you like additional capabilities like connecting to Machine Learning, Dashboards and Quicksight and leveraging other tools like Comprehend. - Source: dev.to / almost 2 years ago
CUDA Toolkit Installation (Optional): If you plan to use CUDA directly, download and install the CUDA Toolkit from the NVIDIA Developer website: https://developer.nvidia.com/cuda-toolkit Follow the installation instructions provided by NVIDIA. Ensure that the CUDA Toolkit version is compatible with your NVIDIA GPU and development environment. - Source: dev.to / 8 days ago
Nvidia’s CUDA dominance is fading as developers embrace open-source alternatives like Triton and JAX, offering more flexibility, cross-hardware compatibility, and reducing reliance on proprietary software. - Source: dev.to / 4 months ago
Since I have a Nvidia graphics card I utilized CUDA to train on my GPU (which is much faster). - Source: dev.to / 6 months ago
In this post we continue our exploration of the opportunities for runtime optimization of machine learning (ML) workloads through custom operator development. This time, we focus on the tools provided by the AWS Neuron SDK for developing and running new kernels on AWS Trainium and AWS Inferentia. With the rapid development of the low-level model components (e.g., attention layers) driving the AI revolution, the... - Source: dev.to / 7 months ago
Install CUDA Toolkit (only the Base Installer). Download it and follow instructions from Https://developer.nvidia.com/cuda-downloads. - Source: dev.to / 12 months ago
spaCy - spaCy is a library for advanced natural language processing in Python and Cython.
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.
FuzzyWuzzy - FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Google Cloud Natural Language API - Natural language API using Google machine learning
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.