747 Open source projects that are alternatives of or similar to Skip Thoughts.torch

This is my graduation project in BIT. Title: Noise Reduction Using GRU.

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

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

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.

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).

Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano

Implementation of Hierarchical Attention Networks in PyTorch

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

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

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

Multiple implementations for abstractive text summurization , using google colab

RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)

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

Recurrent Additive Networks for Tensorflow

[PAMI 2021] Gating Revisited: Deep Multi-layer RNNs That Can Be Trained

Keras tutorial for beginners (using TF backend)

All about Neural Networks!

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Deep Learning

Code lab for deep learning. Including rnn,seq2seq,word2vec,cross entropy,bidirectional rnn,convolution operation,pooling operation,InceptionV3,transfer learning.

CNN, RNN, and Bayesian NN classification for ECG time-series (using TensorFlow in Swift and Python)

Assessing Source Code Semantic Similarity with Unsupervised Learning

Tensorflow2.3的文本分类项目，支持各种分类模型，支持相关tricks。

CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017

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.

RNN(LSTM, GRU) in Theano with mini-batch training; character-level language models in Theano

PyTorch tutorial for learners

Word Embedding + LSTM + FC

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

Haste: a fast, simple, and open RNN library

Jupyter notebooks for Chainer hands-on

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

InceptionV3, InceptionV4, Inception-Resnet pretrained models for Torch7 and PyTorch

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

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

Deep-Learning based CTR models implemented by PyTorch

Pretrained is the most complete and frequently updated list of pretrained top-performing models. Tensorflow, Theano and others. Want to add your model? File an issue, and we will add it.

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。

基于RNN生成古诗

High-quality Neural Networks for Computer Vision 😎

FastText for Node.js

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

Query-Reduction Networks (QRN)

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

Generate monophonic melodies with machine learning using a basic LSTM RNN

Hand-gesture recognition on iOS app using CoreML

Pre-Trained Models for ToD-BERT

Breast density classification with deep convolutional neural networks

1st place solution

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

对 ansj 编写的 Word2VEC_java 的进一步包装，同时实现了常用的词语相似度和句子相似度计算。

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

中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard

sourced.ml is a library and command line tools to build and apply machine learning models on top of Universal Abstract Syntax Trees

A TensorFlow implementation of the Mnemonic Descent Method.

Beautiful visualizations of how language differs among document types.

Pre-trained Word2Vec Model for Turkish

TI-pooling: transformation-invariant pooling for feature learning in Convolutional Neural Networks

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)