956 Open source projects that are alternatives of or similar to deep-improvisation

Natural Language Processing with TensorFlow, published by Packt

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

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

Hands-on in-person workshop for Deep Learning with TensorFlow

Optical character recognition Using Deep Learning

Tensorflow implementation of Synthetic Gradient for RNN (LSTM)

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

Enhanced BiLSTM Inference Model for Natural Language Inference

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。

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！

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

Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.

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.

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.

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

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

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

RNN-LSTM that learns passwords from a starting list

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

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

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

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

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

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

The Official Deep Learning Framework for Route-based Place Recognition

Sequence analyzing using Recurrent Neural Networks (RNN) based on Keras

copper price(time series) prediction using bpnn and lstm

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

Word Embedding + LSTM + FC

PyTorch implementations of LSTM Variants (Dropout + Layer Norm)

e3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond

All my experiments with AI and ML

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

PyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks

A visualization tool for understanding and debugging RNNs

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

Speaker independent emotion recognition

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

A cute multi-layer LSTM that can perform like a human 🎶

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.

基於DA-RNN之DSTP-RNN論文試做(Ver1.0)

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

Reasoning Over Knowledge Graph Paths for Recommendation

Char-level RNN LSTM text generator📄.

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

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

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

UrbanSound classification using Convolutional Recurrent Networks in PyTorch

PyTorch tutorial for learners

Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.

Recurrent Additive Networks for Tensorflow

GPU/CPU (CUDA) Implementation of "Recurrent Memory Array Structures", Simple RNN, LSTM, Array LSTM..

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

Question-Answering NLP model with character-level RNN (TensorFlow).

A Deep-Learning multi-purpose chatbot made using Python3

Tensorflow RNN Tutorial

An implementation of the LRCN in Torch

2018“云移杯- 景区口碑评价分值预测

Predict traffic flow with LSTM. For experimental purposes only, unsupported!