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Data science Python notebooks covering deep learning, machine learning, big data, and more.
Machine learning tutorials for Python developers
Theano is a powerful Python library for defining, optimizing, and evaluating mathematical expressions efficiently.
A comprehensive set of Python notes and resources for developers, covering a wide range of topics including data science, machine learning, and scientific computing.
A deep reinforcement learning library for the Keras deep learning framework, enabling AI-powered applications.
Lasagne is a lightweight library for building and training neural networks in Theano, a powerful Python library for machine learning.
An all-in-one Docker image for deep learning with popular DL frameworks like TensorFlow, Theano, Torch, and Caffe.
A neural network visualization toolkit for the Keras deep learning framework.
An introduction to building deep neural networks using Keras and TensorFlow for Python developers.
Deep learning driven jazz generation using Keras and Theano
Practical Deep Learning course with Jupyter Notebook, covering deep learning concepts and tools.
A community-driven repository for Keras, a popular deep learning library for Python.
This open-source Python library is a toolkit for building speech synthesis and voice conversion systems using deep learning.
A tutorial project for learning machine learning using the Theano library in Python.
Aesara is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.
This Python repository contains code examples for machine learning, NLP, and deep learning using Keras and Theano
A Python framework for building and training neural networks using the Theano library.
A Theano-based implementation of Deep Q-learning, a reinforcement learning algorithm.
An open-source Python library for building gesture recognition models using Convolutional Neural Networks (CNN) and computer vision.
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