272 Open source projects that are alternatives of or similar to Shakkala

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

All my experiments with AI and ML

PyTorch Implementation of "A Hierarchical Latent Structure for Variational Conversation Modeling" (NAACL 2018 Oral)

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

CVPR 2018 - Regularizing RNNs for Caption Generation by Reconstructing The Past with The Present

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

Char-level RNN LSTM text generator📄.

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

Query-Reduction Networks (QRN)

CNN, LSTM, NBOW, fasttext 中文文本分类

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

Generate monophonic melodies with machine learning using a basic LSTM RNN

코딩셰프의 3분 딥러닝, 케라스맛

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)

End-to-end speech recognition using RNN Transducers in Tensorflow 2.0

PyTorch implementations of LSTM Variants (Dropout + Layer Norm)

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

Hierarchical Attentive Recurrent Tracking

PyTorch tutorial for learners

Sentence Classifications with Neural Networks

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

PyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks

基于RNN生成古诗

Detecting emotions using MFCC features of human speech using Deep Learning

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.

Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"

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

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。

A visualization tool for understanding and debugging RNNs

1st place solution

Deep learning codes and projects using Python

A minimum unofficial implementation of the "A Convolutional Recurrent Neural Network for Real-Time Speech Enhancement" (CRN) using PyTorch

Chinese Poetry Generation

使用PyTorch实现Char RNN生成古诗和周杰伦的歌词

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Word Embedding + LSTM + FC

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

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）

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

pytorch implementation of Independently Recurrent Neural Networks https://arxiv.org/abs/1803.04831

Fast and simple music and audio analysis using RNN in Python 🕵️‍♀️ 🥁

Datasets, tools, and benchmarks for representation learning of code.

TF2.0 / TensorFlow 2.0 / TensorFlow2.0 官方文档中文版

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

Recurrent neural network for audio noise reduction

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

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch. Based on code of https://github.com/karpathy/char-rnn. Support Chinese and other things.

Python library for Reservoir Computing using Echo State Networks

Porting of Skip-Thoughts pretrained models from Theano to PyTorch & Torch7

Handwriting generation by RNN with TensorFlow, based on "Generating Sequences With Recurrent Neural Networks" by Alex Graves

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

Hand-gesture recognition on iOS app using CoreML

Hierarchical Attention Networks for Chinese Sentiment Classification

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

TensorFlow implemenation of GRu4Rec model

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

Variational Auto-Encoders in a Sequential Setting.