570 Open source projects that are alternatives of or similar to Pytorch Image Comp Rnn

基于RNN生成古诗

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

All my experiments with AI and ML

Lightweight C++11 library for building deep recurrent neural networks

Word Embedding + LSTM + FC

BasicOCR是一个致力于解决自然场景文字识别算法研究的项目。该项目由长城数字大数据应用技术研究院佟派AI团队发起和维护。

All about Neural Networks!

language model in Chinese，基于Pytorch官方文档实现

CPU and GPU implementations of some 2D RNN layers

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

Sequence Models by Andrew Ng on Coursera. Programming Assignments and Quiz Solutions.

rnn trained on r/totallynotrobots 🤖

Tensorflow Implementation of Densely Connected Bidirectional LSTM with Applications to Sentence Classification

RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.

A collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

Part-of-Speech Tagger and custom implementations of LSTM, GRU and Vanilla RNN

PyTorch implementations of LSTM Variants (Dropout + Layer Norm)

Long short-term memory recurrent neural networks for learning peptide and protein sequences to later design new, similar examples.

中文聊天机器人，基于10万组对白训练而成，采用注意力机制，对一般问题都会生成一个有意义的答复。已上传模型，可直接运行，跑不起来直播吃键盘。

RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)

Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.

CNN, LSTM, NBOW, fasttext 中文文本分类

分别使用rnn/cnn/rcnn来实现根据患者描述，进行疾病诊断

Char-level RNN LSTM text generator📄.

Easy-to-use Deep LSTM Neural Network to generate song sounds like containing improvisation.

Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot

A siamese LSTM to detect sentence/question pairs.

Pull stock prices from online API and perform predictions using Long Short Term Memory (LSTM) with TensorFlow.js framework

My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

Hybrid Code Networks https://arxiv.org/abs/1702.03274

基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測

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

中文古诗自动作诗机器人，屌炸天，基于tensorflow1.10 api，正在积极维护升级中，快star，保持更新！

Tensorflow implementation of Synthetic Gradient for RNN (LSTM)

Keras tutorial for beginners (using TF backend)

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

Deep Learning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

Sentiment Analysis with LSTMs in Tensorflow

使用Theano实现的一些RNN代码，包括最基本的RNN，LSTM，以及部分Attention模型，如论文MLSTM等

🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

The Official Deep Learning Framework for Route-based Place Recognition

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

Chatbot in 200 lines of code using TensorLayer

copper price(time series) prediction using bpnn and lstm

A PyTorch Tutorials of Sentiment Analysis Classification (RNN, LSTM, Bi-LSTM, LSTM+Attention, CNN)

Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.

My Attempt(s) In The World Of ML/DL....

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

Stock Price Prediction using Machine Learning Techniques

An extension on the Hierachical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion, our implementation is in Tensorflow and uses an attention mechanism.

PyTorch tutorial for learners

RNN and general weights, gradients, & activations visualization in Keras & TensorFlow