472 Open source projects that are alternatives of or similar to Tensorflow Char Rnn

RMDL: Random Multimodel Deep Learning for Classification

THEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.

Alternative approach for Adaptive Computation Time in TensorFlow

PyTorch tutorial for learners

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

Tensorflow implementation of Synthetic Gradient for RNN (LSTM)

Computer-generated poetry

The Official Deep Learning Framework for Route-based Place Recognition

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)

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

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

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.

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

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

Probabilistic Dialogue Act Classification for the Switchboard Corpus using an LSTM model

Neural networks library for machine learning on PHP

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.

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).

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

Python library for Reservoir Computing using Echo State Networks

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

Deep learning codes and projects using Python

Use tensorflow's tf.scan to build vanilla, GRU and LSTM RNNs

Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).

A variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization problems.

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

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

[Deprecated] Source Code Generation using Sequence Generative Adversarial Networks

Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks

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

<머신러닝 교과서 with 파이썬, 사이킷런, 텐서플로>의 코드 저장소

Experiment diverse Deep learning models for music generation with TensorFlow

CNN-RNN中文文本分类，基于TensorFlow

This is an open sourced book on deep learning.

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。

Handwriting Recognition System based on a deep Convolutional Recurrent Neural Network architecture

Differentiable Neural Computers, Sparse Access Memory and Sparse Differentiable Neural Computers, for Pytorch

Anomaly detection implemented in Keras

🥕 Evolutionary Neural Networks in JavaScript

Connectionist Temporal Classification (CTC) decoder with dictionary and language model for TensorFlow.

Machine learning models for time series analysis

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！

📃 **Unofficial** PyTorch Implementation of DA-RNN (arXiv:1704.02971)

Neural Network for HFT-trading [experimental]

A Tensorflow Implementation of R-net: Machine reading comprehension with self matching networks

Deep Learning Specialization by Andrew Ng on Coursera - My Completed Coursework Repo - All 5 Courses

Keras tutorial for beginners (using TF backend)

Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018

Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.

A fast implementation of Neural Image Caption by Chainer

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.

recaptcha with lstm and mxnet

Time series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai

🌊 Numerically solving and backpropagating through the wave equation

Reinforcement Learning for Portfolio Management

Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.

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

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