398 Open source projects that are alternatives of or similar to Siamese Lstm

Activity Recognition Algorithms for the Charades Dataset

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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。

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Multi dimensional LSTM as described in Alex Graves' Paper https://arxiv.org/pdf/0705.2011.pdf

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Code for Mimicking Word Embeddings using Subword RNNs (EMNLP 2017)

This package contains an OCR engine - libtesseract and a command line program - tesseract. Tesseract 4 adds a new neural net (LSTM) based OCR engine which is focused on line recognition, but also still supports the legacy Tesseract OCR engine of Tesseract 3 which works by recognizing character patterns. Compatibility with Tesseract 3 is enabled by using the Legacy OCR Engine mode (--oem 0). It also needs traineddata files which support the legacy engine, for example those from the tessdata repository.

Attention-based multimodal fusion for sentiment analysis

All my experiments with AI and ML

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

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Haste: a fast, simple, and open RNN library

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

PyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks

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5th place solution for Kaggle competition Favorita Grocery Sales Forecasting

Time series prediction with Sequential Model and LSTM units

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A Tensorflow based implicit recommender system

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

Char-level RNN LSTM text generator📄.

A Collection of resources I have found useful on my journey finding my way through the world of Deep Learning.

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

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

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

Explore Action Recognition

LSTM and CNN sentiment analysis

ICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction

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

A bidirectional LSTM with attention for multiclass/multilabel text classification.

document classification using LSTM + self attention

News summarization using sequence to sequence model with attention in TensorFlow.

Scripts and tools to easily communicate with DeepGTAV. In the future a self-driving agent will be implemented.

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

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

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Seq2Seq, Bert, Transformer, WaveNet for time series prediction.

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Implementation of "Generating Sequences With Recurrent Neural Networks" https://arxiv.org/abs/1308.0850