🤖 Neural networks in JavaScript

VIP cheatsheets for Stanford's CS 230 Deep Learning

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.

Simple and comprehensive tutorials in TensorFlow

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

TensorFlow Tutorials

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

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

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.

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

Handwriting Synthesis with RNNs ✏️

Top 200 deep learning Github repositories sorted by the number of stars.

Text Classification Algorithms: A Survey

Text classifier for Hierarchical Attention Networks for Document Classification

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

Keras Temporal Convolutional Network.

Handwritten Text Recognition (HTR) system implemented with TensorFlow.

TensorFlow and Deep Learning Tutorials

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

Visualizing RNNs using the attention mechanism

Machine Learning on Sequential Data Using a Recurrent Weighted Average

RNN-based generative models for speech.

A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).

Deep Reinforcement Learning based Trading Agent for Bitcoin

Named Entity Recognition using multilayered bidirectional LSTM

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

A TensorFlow implementation of Recurrent Neural Networks for Sequence Classification and Sequence Labeling

Connectionist Temporal Classification (CTC) decoding algorithms: best path, prefix search, beam search and token passing. Implemented in Python and OpenCL.

Char-RNN implemented using TensorFlow.

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow