Rnn Open Source Projects

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

PyTorch Tutorial for Deep Learning Researchers

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.

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

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

tensorflow实战练习，包括强化学习、推荐系统、nlp等

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

Code for Tensorflow Machine Learning Cookbook

Recurrent Neural Network - A curated list of resources dedicated to RNN

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

Recurrent neural network for audio noise reduction

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

A machine learning software for extracting information from scholarly documents

Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

使用Bert，ERNIE，进行中文文本分类

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

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

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！

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

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

notes about machine learning

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)

PyTorch 官方中文教程包含 60 分钟快速入门教程，强化教程，计算机视觉，自然语言处理，生成对抗网络，强化学习。欢迎 Star，Fork！

Deep learning driven jazz generation using Keras & Theano!

A crash course in six episodes for software developers who want to become machine learning practitioners.

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

TensorFlow Tutorials

Efficient, reusable RNNs and LSTMs for torch

Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX

Simplified implementations of deep learning related works

Python实用教程，包括：Python基础，Python高级特性，面向对象编程，多线程，数据库，数据科学，Flask，爬虫开发教程。

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.

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE

1st place solution

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

主要是我是日常看过的不错的文章的资源汇总，方便自己也分享给大家。有些我看过的，就会做简单的解读，没看过的，就先罗列一下，然后之后看了把解读更新上；涉及到搜索/推荐/自然语言处理。

A curated list of promising OCR resources

Demo of running NNs across different frameworks

Data augmentation for NLP, presented at EMNLP 2019

darknet深度学习框架源码分析：详细中文注释，涵盖框架原理与实现语法分析

This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.

Stock Price Prediction using Machine Learning Techniques

Deep learning tutorials (2nd ed.)

A curated list of Best Artificial Intelligence Resources

Deal or No Deal? End-to-End Learning for Negotiation Dialogues