472 Open source projects that are alternatives of or similar to Rnn From Scratch

Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks

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

Deep learning codes and projects using Python

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

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

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

PyTorch tutorial for learners

Computer-generated poetry

Python library for Reservoir Computing using Echo State Networks

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

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

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.

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).

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)

Char-RNN implemented using TensorFlow.

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

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

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.

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

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

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).

[Deprecated] Source Code Generation using Sequence Generative Adversarial Networks

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

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.

RMDL: Random Multimodel Deep Learning for Classification

Alternative approach for Adaptive Computation Time in TensorFlow

The Official Deep Learning Framework for Route-based Place Recognition

Tensorflow implementation of Synthetic Gradient for RNN (LSTM)

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

Neural networks library for machine learning on PHP

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

Detecting emotions using MFCC features of human speech using Deep Learning

The code for the MaD TwinNet. Demo page:

SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

Word Embedding + LSTM + FC

Char-level RNN LSTM text generator📄.

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

Text Classification Algorithms: A Survey

Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

Quantize weights and activations in Recurrent Neural Networks.

Biologically-realistic recurrent convolutional neural networks

Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks (ICLR 2018)

PyTorch implementations of LSTM Variants (Dropout + Layer Norm)

An Echo State Network module for PyTorch.

Neural machine translator for English2German translation.

A Tensorfflow implementation of Attend, Infer, Repeat

End-to-end variable length Captcha recognition using CNN+RNN+Attention/CTC (pytorch implementation). 端到端的不定长验证码识别

SimpleDNN is a machine learning lightweight open-source library written in Kotlin designed to support relevant neural network architectures in natural language processing tasks

Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）

copper price(time series) prediction using bpnn and lstm

A project designed to explore CNN and the effectiveness of RCNN on classifying the EMNIST dataset.

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

Handwriting Synthesis with RNNs ✏️

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

使用PyTorch实现Char RNN生成古诗和周杰伦的歌词

All my experiments with AI and ML

ECG Classification

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