#Rnn
Showing 60 of 127 repositories tagged #rnn, ranked by stars
12 Weeks, 24 Lessons, AI for All!
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
《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
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.
Build your neural network easy and fast, 莫烦Python中文教学
Code for Tensorflow Machine Learning Cookbook
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
A machine learning software for extracting information from scholarly documents
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
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
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.
Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
Deep learning driven jazz generation using Keras & Theano!
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
Datasets, tools, and benchmarks for representation learning of code.
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.
Official repository of the xLSTM.
텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다
Stock Price Prediction using Machine Learning Techniques
A curated list of Best Artificial Intelligence Resources
Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
RNN based Time-series Anomaly detector model implemented in Pytorch.
Diagrams for visualizing neural network architecture
Bolt is a deep learning library with high performance and heterogeneous flexibility.
List of Molecular and Material design using Generative AI and Deep Learning
从 NLP 到 LLM 的算法全栈教程，在线阅读地址：https://datawhalechina.github.io/base-llm/
Chatbot in 200 lines of code using TensorLayer
WTTE-RNN a framework for churn and time to event prediction
Sequence to Sequence Models with PyTorch
A top-down, practical guide to learn AI, Deep learning and Machine Learning.
CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017
Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models
Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.
Implementing Recurrent Neural Network from Scratch
Multiple implementations for abstractive text summurization , using google colab
此项目致力于构建一套最基础，最精简，可维护的react-native项目，支持ios，android 🌹
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）
🎓 机器学习与深度学习实战教程 | Comprehensive ML & DL Tutorial with Jupyter Notebooks | 包含线性回归、神经网络、CNN、RNN等完整教程
Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes
Keras tutorial for beginners (using TF backend)
This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
Deep learning codes and projects using Python
Predict bitcoin price with deep learning
Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot
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。
Music genre classification with LSTM Recurrent Neural Nets in Keras & PyTorch
Efficient, transparent deep learning in hundreds of lines of code.
End-to-end speech recognition using RNN Transducers in Tensorflow 2.0
Sentence Classifications with Neural Networks
Reservoir computing utilities for scientific machine learning (SciML)
Deep Learning Specialization by Andrew Ng on Coursera - My Completed Coursework Repo - All 5 Courses
Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.
DeepLearning.AI TensorFlow Developer Professional Certificate
A cute multi-layer LSTM that can perform like a human 🎶
RNN and general weights, gradients, & activations visualization in Keras & TensorFlow
AHN: Artificial Hippocampus Networks for Efficient Long-Context Modeling