TensorFlow: An open-source software library for machine learning, used for developing and deploying deep learning models.
Keras: A high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano.
PyTorch: An open-source machine learning library for Python, based on the Torch library. It is used for natural language processing, computer vision, and deep learning tasks.
Scikit-learn: A machine learning library for Python, which provides simple and efficient tools for data mining and data analysis.
OpenCV: An open-source computer vision library, used for image and video processing tasks such as object detection, image recognition, and face detection.
NLTK: A natural language processing library for Python, used for tasks such as text classification, tokenization, and stemming.
GPT-3: A language generation model developed by OpenAI, which is capable of generating natural language text that is indistinguishable from text written by humans.
BERT: A transformer-based model for natural language understanding, developed by Google, which is used for tasks such as sentiment analysis, text classification, and question answering.
IBM Watson: An AI platform developed by IBM, which provides a variety of services such as natural language processing, computer vision, and machine learning.
Azure Machine Learning: A cloud-based machine learning platform developed by Microsoft, which provides tools for data preparation, model development, and deployment.
 Tools List){kind=link}
0 Comments