629 Open source projects that are alternatives of or similar to DrowsyDriverDetection

Vanilla LSTM with numpy

Natural Language Processing with TensorFlow, published by Packt

Speaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).

RNN-LSTM that learns passwords from a starting list

Nested LSTM Cell

⚛️ It is keras based implementation of siamese architecture using lstm encoders to compute text similarity

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

Sign Language Gesture Recognition From Video Sequences Using RNN And CNN

Optical character recognition Using Deep Learning

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

Multiple Object Tracking System in Keras + (Detection Network - YOLO)

分别使用rnn/cnn/rcnn来实现根据患者描述，进行疾病诊断

Recurrent Additive Networks for Tensorflow

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

Word Embedding + LSTM + FC

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。

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

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

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

Tensorflow implementation of Synthetic Gradient for RNN (LSTM)

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

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

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！

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

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

Sentence paraphrase generation at the sentence level

Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

Keras tutorial for beginners (using TF backend)

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.

Generate monophonic melodies with machine learning using a basic LSTM RNN

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

All about Neural Networks!

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

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

Music genre classification with LSTM Recurrent Neural Nets in Keras & PyTorch

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

A visualization tool for understanding and debugging RNNs

Load forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models

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

Chatbot in 200 lines of code using TensorLayer

基于RNN生成古诗

I used in this project a reccurent neural network to generate c code based on a dataset of c files from the linux repository.

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

A modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.

A Bitcoin trade robot based on Tensorflow LSTM model.Just for fun.

PyTorch implementations of LSTM Variants (Dropout + Layer Norm)

All my experiments with AI and ML

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)

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

Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera

[RSE21] Pytorch code for hierarchical time series classification with multi-stage convolutional RNN

Efficient, transparent deep learning in hundreds of lines of code.

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

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

PyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks

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