Popular GitHub Repositories for Correlation Recurrent Units

A curated list of awesome Deep Learning tutorials, projects and communities.

? GPU accelerated Neural networks in JavaScript for Browsers and Node.js

VIP cheatsheets for Stanford's CS 230 Deep Learning

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

Recurrent neural network for audio noise reduction

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

Simple and comprehensive tutorials in TensorFlow

List of papers, code and experiments using deep learning for time series forecasting

Convolutional recurrent network in pytorch

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

A Python library that helps data scientists to infer causation rather than observing correlation.

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models

Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)

Handwritten Text Recognition (HTR) system implemented with TensorFlow.

Keras Temporal Convolutional Network. Supports Python and R.