AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
-
Updated
Jan 2, 2023 - Python
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
深度学习入门教程, 优秀文章, Deep Learning Tutorial
Build your neural network easy and fast, 莫烦Python中文教学
《李宏毅深度学习教程》,PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
Code for Tensorflow Machine Learning Cookbook
12 Weeks, 24 Lessons, AI for All!
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
CNN-RNN中文文本分类,基于TensorFlow
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
中文古诗自动作诗机器人,屌炸天,基于tensorflow1.10 api,正在积极维护升级中,快star,保持更新!
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Recurrent neural network for audio noise reduction
Deep learning driven jazz generation using Keras & Theano!
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)
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.
텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다
Add a description, image, and links to the rnn topic page so that developers can more easily learn about it.
To associate your repository with the rnn topic, visit your repo's landing page and select "manage topics."