Lstm Open Source Projects

Tesseract Open Source OCR Engine (main repository)

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

深度学习入门教程, 优秀文章, Deep Learning Tutorial

A neural network that transforms a design mock-up into a static website.

Machine learning, in numpy

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

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

A resource for learning about Machine learning & Deep Learning

Trained models with fast variant of the "best" LSTM models + legacy models

Friendly machine learning for the web! 🤖

NLP上手教程

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

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

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

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

Tesseract Open Source OCR Engine (main repository)

该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记

基于LSTM的时间序列预测研究

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

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

Deep learning driven jazz generation using Keras & Theano!

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

List of papers, code and experiments using deep learning for time series forecasting

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

FAQ-based Question Answering System

Simplified implementations of deep learning related works

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER

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。

:computer:深度学习实战：手写数字识别、Discuz验证码识别、垃圾分类、语义分割

Tesseract documentation

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.

中文命名实体识别（包括多种模型：HMM，CRF，BiLSTM，BiLSTM+CRF的具体实现）

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

Implementation of Convolutional LSTM in PyTorch.

Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)

LSTM and QRNN Language Model Toolkit for PyTorch

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

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

Named Entity Recognition (LSTM + CRF) - Tensorflow

Use unsupervised and supervised learning to predict stocks

DeepIE: Deep Learning for Information Extraction

Minimal, clean example of lstm neural network training in python, for learning purposes.

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

TensorFlow template application for deep learning

Self-contained Machine Learning and Natural Language Processing library in Go

The deeplearning algorithms implemented by tensorflow

Chinese NER using Lattice LSTM. Code for ACL 2018 paper.

NLP超强入门指南，包括各任务sota模型汇总（文本分类、文本匹配、序列标注、文本生成、语言模型），以及代码、技巧

A neural network model for Chinese named entity recognition

Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

A curated list of promising OCR resources

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

Dual LSTM Encoder for Dialog Response Generation

Stock Price Prediction using Machine Learning Techniques