Handwriting Synthesis with RNNs ✏️
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Updated
Jan 11, 2024 - Python
Handwriting Synthesis with RNNs ✏️
Simple and comprehensive tutorials in TensorFlow
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
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.
Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)
Handwritten Text Recognition (HTR) system implemented with TensorFlow.
Keras Temporal Convolutional Network.
Text Classification Algorithms: A Survey
Top 200 deep learning Github repositories sorted by the number of stars.
Code Repository for Liquid Time-Constant Networks (LTCs)
Text classifier for Hierarchical Attention Networks for Document Classification
Closed-form Continuous-time Neural Networks
Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.
Visualizing RNNs using the attention mechanism
Deep Reinforcement Learning based Trading Agent for Bitcoin
A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.
A bidirectional recurrent neural network model with attention mechanism for restoring missing punctuation in unsegmented text
Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.
RNN-based generative models for speech.
Machine Learning on Sequential Data Using a Recurrent Weighted Average
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