AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
-
Updated
Mar 4, 2024 - Python
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
12 Weeks, 24 Lessons, AI for All!
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》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
Code for Tensorflow Machine Learning Cookbook
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
CNN-RNN中文文本分类,基于TensorFlow
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다
中文古诗自动作诗机器人,x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
Recurrent neural network for audio noise reduction
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
1st place solution
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
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."