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
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
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