Showing 15 of 15 projects
A comprehensive collection of data science Python notebooks covering deep learning, machine learning, big data, visualization, and essential tools.
Code samples and implementations from the book 'Neural Networks and Deep Learning' for educational purposes.
A Python library implementing state-of-the-art deep reinforcement learning algorithms with seamless Keras integration.
Original implementation and hyperparameters for the 2014 paper "Generative Adversarial Networks" (GANs).
A recurrent neural network that generates classical music using LSTM layers and convolutional-inspired architecture.
A deprecated repository for community-contributed Keras extensions like layers, activations, and loss functions.
A chess AI that learns to play chess using deep learning and neural networks.
A Python project for algorithmic music generation using recurrent neural networks.
Winning solution for the Galaxy Challenge on Kaggle, using convolutional neural networks to classify galaxy morphologies.
An open-source benchmark toolkit for Natural Language Generation in spoken dialogue systems, featuring multiple RNN-based models and datasets.
A collection of deep learning tutorials and implementations using Keras and Lasagne, with a focus on Theano-based frameworks.
A Python-based CAPTCHA breaking solution using Keras and OpenCV, developed for a data science competition.
Shallow and deep convolutional neural networks for predicting visual saliency in images using a data-driven approach.
A symbolic programming library built on JAX for concise, explicit, and optimized machine learning computations.
Tutorial materials for the 2012 IPAM Graduate Summer School on Deep Learning and Feature Learning using Theano and Torch.
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