107 Open source projects that are alternatives of or similar to Iris Python

DL course co-developed by YSDA, HSE and Skoltech

A deep neural network for face alignment

A course in reinforcement learning in the wild

Documentation:

Convolutional AutoEncoder application on MRI images

Theano implementation of XNOR-Net

RNN benchmarks of pytorch, tensorflow and theano

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

Setup and customize deep learning environment in seconds.

Generating proportional fonts with deep learning

Deep Reinforcement Learning library for humans

Periodic Spatial Generative Adversarial Networks

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Improved Wasserstein GAN (WGAN-GP) application on medical (MRI) images

Intro to Deep Learning, including recurrent, convolution, and feed forward neural networks.

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

3-day dive into deep learning at csc

🔬 Nano size Theano LSTM module

GPU-accelerated Deep Learning on Windows 10 native

Code and pre-trained model for: Deep Semantic Role Labeling: What Works and What's Next

Deep Neural Network for Sentiment Analysis on Twitter

Keras implementation of BERT with pre-trained weights

A bidirectional recurrent neural network model with attention mechanism for restoring missing punctuation in unsegmented text

Neural network visualization toolkit for keras

Word semantics Deep Learning with Vanilla Python, Keras, Theano, TensorFlow, PyTorch

The On-Ramp to Deep Learning

Implementation of the reweighted wake-sleep machine learning algorithm

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.

Keras package for region-based convolutional neural networks (RCNNs)

An implementation of RNN-RBM & GBRBM.

The RWTH extensible training framework for universal recurrent neural networks

Neural Machine Translation with Keras

Introduction to Deep Neural Networks with Keras and Tensorflow

Combines the ease of use of scikit-learn with the power of Theano/Lasagne

Keras package for deep residual networks

Image classification of wildflowers using deep residual learning and convolutional neural nets

Gesture recognition via CNN. Implemented in Keras + Tensorflow/Theano + OpenCV

THEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

Deep Convolutional Neural Networks for Musical Source Separation

We provide GPU-enabled docker images including Keras, TensorFlow, CNTK, MXNET and Theano.

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.

CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art

This is a STORN (Stochastical Recurrent Neural Network) implementation for keras!

Text classification with Reuters-21578 datasets using Gensim Word2Vec and Keras LSTM

Author's implementation of the paper "Deep Relative Attributes" (ACCV 2016)

Text Classification Library in Keras

Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano

深度学习相关代码

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 adress parameter and model uncertainties.

Sequence analyzing using Recurrent Neural Networks (RNN) based on Keras

Sets up a VM with Keras, TensorFlow, TFLearn and Theano installed

中文 Python 笔记

Lightweight library to build and train neural networks in Theano

Easy multiple sclerosis white matter lesion segmentation using convolutional deep neural networks.

Code for EMNLP 2016 paper: Morphological Priors for Probabilistic Word Embeddings

How to use TensorLayer

Network Intrusion Detection System using Deep Learning Techniques

Bidirectional Helmholtz Machines

RNN-based generative models for speech.