455 Open source projects that are alternatives of or similar to Deep Generation

PyTorch tutorial for learners

Image Captioning: Implementing the Neural Image Caption Generator with python

This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.

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

CNN, LSTM, NBOW, fasttext 中文文本分类

Sentence paraphrase generation at the sentence level

Optical character recognition Using Deep Learning

Stock Price Prediction using Machine Learning Techniques

Anomaly detection for temporal data using LSTMs

Classification of Urban Sound Audio Dataset using LSTM-based model.

Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.

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

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

Context-Dependent Sentiment Analysis in User-Generated Videos

Implementation of a hierarchical CNN based model to detect Big Five personality traits

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.

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

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

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

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

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

Vanilla LSTM with numpy

Electric load forecast using Long-Short-Term-Memory (LSTM) recurrent neural network

Design and build a chatbot using data from the Cornell Movie Dialogues corpus, using Keras

Char-level RNN LSTM text generator📄.

主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构

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

NN based lossless compression

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

Time series based anomaly detector

Bert-classification and bert-dssm implementation with keras.

document classification using LSTM + self attention

A Tensorflow based implicit recommender system

Ideal Ratio Mask (IRM) Estimation based Speech Enhancement using LSTM

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

Generating Captions for images using Deep Learning

Sign Language Recognition for Deaf People

Neural machine translator for English2German translation.

A Python package for gender classification.

Application of machine learning to the Coinbase (GDAX) orderbook

EQTransformer, a python package for earthquake signal detection and phase picking using AI.

AIOpen是一个按人工智能三要素（数据、算法、算力）进行AI开源项目分类的汇集项目，项目致力于跟踪目前人工智能（AI）的深度学习（DL）开源项目，并尽可能地罗列目前的开源项目，同时加入了一些曾经研究过的代码。通过这些开源项目，使初次接触AI的人们对人工智能（深度学习）有更清晰和更全面的了解。

Sentiment Analysis on the First Republic Party debate in 2016 based on Python,NLTK and ML.

copper price(time series) prediction using bpnn and lstm

基于 Bi-LSTM 和 CRF 的中文语义角色标注

Time series prediction with Sequential Model and LSTM units

Sarcasm detection on tweets using neural network

Multitask Deep Learning for Sentiment Analysis using Character-Level Language Model, Bi-LSTMs for POS Tag, Chunking and Unsupervised Dependency Parsing. Inspired by this great article https://arxiv.org/abs/1611.01587

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

Tensorflow-LSTM-CRF tool for Named Entity Recognizer

This repo contains code to detect sarcasm from text in discussion forum using deep learning

Some of the ML and DL related reading materials, research papers that I've read

Augmenting word embeddings with their surrounding context using bidirectional RNN

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

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....

Social LSTM using PyTorch for Vehicle Data