Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
rnn-tensorflow 开源项目推荐(678 个)
rnn-tensorflow 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 678 个仓库Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.
Implementing Recurrent Neural Network from Scratch
Char-RNN implemented using TensorFlow.
包含所有课程模块、练习题及机器学习专注笔记,作者:Andrew Ng,斯坦福大学。以及在Coursera上的 DeepLearning.ai
Little More Advanced TensorFlow Implementations
Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
e3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond
中国诗歌世代
[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
Hands-On Deep Learning Algorithms with Python, By Packt
Char-level RNN LSTM text generator📄.
RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical systems.
这是我的硕士项目,我参与了利用无线传感器数据挖掘实验室(WISDM)的数据集,构建了一个机器学习模型,利用智能手机加速度计预测基本人类活动,利用Tensorflow框架、循环神经网络和多层长短期记忆单元(LSTM)构建深度网络。 模型训练完成后,保存并导出到安卓应用,利用模型和界面通过文本转语音API进行预测。
medium blog supplementaries | Backprop | Resnet & ResNext | RNN |
AI Exercise Rep Counter based on Google's Human Pose Estimation Library (Posenet)
Recurrent Neural Network (LSTM) by using TensorFlow and Keras in Python for BitCoin price prediction
Char-level RNN LSTM password cracker 🔑🔓.
The implementation of LSTM in TensorFlow used for the stock prediction.
Predict stock movement with Machine Learning and Deep Learning algorithms
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/rnn-tensorflow。
- 该话题在 GitHub 上共有 678 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 6682 Star,覆盖 2 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。