7115 Open source projects that are alternatives of or similar to Neural Networks

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

PyTorch tutorial for learners

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

Natural Language Processing with TensorFlow, published by Packt

Persian sentiment analysis ( آناکاوی سهش های فارسی | تحلیل احساسات فارسی )

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

Sentiment Analysis with LSTMs in Tensorflow

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Time series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai

The deeplearning algorithms implemented by tensorflow

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，跑不起来直播吃键盘。

Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.

Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

Predict Cryptocurrency Price with Deep Learning

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

코딩셰프의 3분 딥러닝, 케라스맛

Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

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

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

A cute multi-layer LSTM that can perform like a human 🎶

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

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測

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

文本情感分析

My Attempt(s) In The World Of ML/DL....

Code for Tensorflow Machine Learning Cookbook

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

All my experiments with AI and ML

Datasets, tools, and benchmarks for representation learning of code.

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models

Some interesting TensorFlow tutorials for beginners.

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

Load forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models

lidc nodule detection with CNN and LSTM network

Chinese Poetry Generation

Deep learning codes and projects using Python

Stock Price Prediction using Machine Learning Techniques

Sentiment Analysis on the First Republic Party debate in 2016 based on Python,NLTK and ML.

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 BERT.

基于LSTM网络与自注意力机制对中文评论进行细粒度情感分析

Sarcasm Detection for Sentiment Analysis

Service Classification based on Service Description

A collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation

Image Captioning using InceptionV3 and beam search

🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

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

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

使用Theano实现的一些RNN代码，包括最基本的RNN，LSTM，以及部分Attention模型，如论文MLSTM等

Implementation of Neural Image Captioning model using Keras with Theano backend

Implementation of a hierarchical CNN based model to detect Big Five personality traits

keras를 이용한 딥러닝 기초 학습

RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)

Keras tutorial for beginners (using TF backend)

BasicOCR是一个致力于解决自然场景文字识别算法研究的项目。该项目由长城数字大数据应用技术研究院佟派AI团队发起和维护。

Multiple implementations for abstractive text summurization , using google colab

QA - Answer Selection (Rank candidate answers for a given question)