Repository Index

Recurrent Neural Network - A curated list of resources dedicated to RNN

A scikit-learn compatible neural network library that wraps PyTorch

• scikit-learn
• pytorch
• machine-learning
• huggingface

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

• tensorflow
• graph
• darknet
• deep-learning

header only, dependency-free deep learning framework in C++14

• c-plus-plus
• deep-learning
• machine-learning
• neural-network

Recurrent neural network for audio noise reduction

• rnn
• noise-reduction
• audio
• c

Gorgonia is a library that helps facilitate machine learning in Go.

• machine-learning
• artificial-intelligence
• neural-network
• computation-graph

Convolutional Neural Network for Text Classification in Tensorflow

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

Deep Reinforcement Learning for Keras.

• keras
• tensorflow
• theano
• reinforcement-learning

Neural style in TensorFlow! 🎨

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

A C++ standalone library for machine learning

• flashlight
• machine-learning
• autograd
• cpp

Build Graph Nets in Tensorflow

• graph-networks
• graphs
• deep-learning
• neural-networks

A PyTorch Library for Accelerating 3D Deep Learning Research

• pytorch
• 3d-deep-learning
• neural-networks
• differentiable-rendering

Image augmentation library in Python for machine learning.

• augmentation
• machine-learning
• deep-learning
• neural-networks

An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks

• neural-network
• image-classification
• machine-learning
• caffe

links to conference publications in graph-based deep learning

• graph-neural-networks
• graph-convolutional-networks
• graph
• deep-learning

Lightning ⚡️ fast forecasting with statistical and econometric models.

• time-series
• statistics
• forecasting
• arima

Run Keras models in the browser, with GPU support using WebGL

• deep-learning
• machine-learning
• webgl
• tensorflow

Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.

• keras
• deep-learning
• text-generation
• tensorflow

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

• pytorch
• neural-network
• python
• machine-learning

A unified, comprehensive and efficient recommendation library

• recommender-systems
• collaborative-filtering
• knowledge-graph
• ctr-prediction

:earth_americas: Simple and ready-to-use tutorials for TensorFlow

• deep-learning
• neural-network
• tensorflow
• machine-learning

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

• tensorflow
• machine-learning
• regression
• convolutional-neural-networks