There are 8 repositories under theano topic.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Setup and customize deep learning environment in seconds.
Deep Reinforcement Learning for Keras.
Lightweight library to build and train neural networks in Theano
Neural network visualization toolkit for keras
Introduction to Deep Neural Networks with Keras and Tensorflow
Deep learning driven jazz generation using Keras & Theano!
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
Keras community contributions
This is now the official location of the Merlin project.
DL course co-developed by YSDA, HSE and Skoltech
Gesture recognition via CNN. Implemented in Keras + Tensorflow/Theano + OpenCV
Keras implementation of BERT with pre-trained weights
Aesara is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.
GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to address parameter and model uncertainties.
RNN-based generative models for speech.
A bidirectional recurrent neural network model with attention mechanism for restoring missing punctuation in unsegmented text
Keras package for region-based convolutional neural networks (RCNNs)
Neural Machine Translation with Keras
GPU-accelerated Deep Learning on Windows 10 native
A deep neural network for face alignment
Deep Convolutional Neural Networks for Musical Source Separation
Text Classification Library in Keras
Implementation of a hierarchical CNN based model to detect Big Five personality traits
Implementation of Dynamic memory networks by Kumar et al. http://arxiv.org/abs/1506.07285
Code and pre-trained model for: Deep Semantic Role Labeling: What Works and What's Next
The data is the future of oil, digging the potential value of the data is very meaningful. This library records my road of machine learning study.
The RWTH extensible training framework for universal recurrent neural networks
:microscope: Nano size Theano LSTM module
Deep Reinforcement Learning library for humans
Keras package for deep residual networks
Deep Neural Network for Sentiment Analysis on Twitter
Soundscape analysis with BirdNET.