488 Open source projects that are alternatives of or similar to Hart

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

A Tensorfflow implementation of Attend, Infer, Repeat

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

Chinese Poetry Generation

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

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)

text_recognition_toolbox: The reimplementation of a series of classical scene text recognition papers with Pytorch in a uniform way.

Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.

official implementation of the spatial-temporal attention neural network (STANet) for remote sensing image change detection

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

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

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

Tensorflow Implement of GeoMAN, IJCAI-18

The code of CIKM'19 paper《Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach》

Word Embedding + LSTM + FC

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[CVPR 2020] Official Implementation: "Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models".

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。

Reformer, the efficient Transformer, in Pytorch

PyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks

Char-level RNN LSTM text generator📄.

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

PyTorch tutorial for learners

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

Query-Reduction Networks (QRN)

An Implementation of 'Attention is all you need' with Chinese Corpus

EQTransformer, a python package for earthquake signal detection and phase picking using AI.

使用PyTorch实现Char RNN生成古诗和周杰伦的歌词

Attention-guided CNN for image denoising(Neural Networks,2020)

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基于RNN生成古诗

Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch

[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.

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

PyTorch implementations of LSTM Variants (Dropout + Layer Norm)

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

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）

[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning

All my experiments with AI and ML

Keras Implementation of Aspect based Sentiment Analysis

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

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

1st place solution

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

Deep-Learning based CTR models implemented by PyTorch

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

Implementation of Knowledge Aided Consistency for Weakly Supervised Phrase Grounding in Tensorflow

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Densely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020

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

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CNN, LSTM, NBOW, fasttext 中文文本分类

Recurrent neural network for audio noise reduction