8017 Open source projects that are alternatives of or similar to Machine Learning

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

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

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

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

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。

PyTorch tutorial for learners

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

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

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

Music genre classification with LSTM Recurrent Neural Nets in Keras & PyTorch

All my experiments with AI and ML

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

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

CNN, LSTM, NBOW, fasttext 中文文本分类

All about Neural Networks!

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

Chinese Poetry Generation

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

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

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

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)

Hierarchical Attention Networks for Chinese Sentiment Classification

Enhanced BiLSTM Inference Model for Natural Language Inference

Face masks are crucial in minimizing the propagation of Covid-19, and are highly recommended or even obligatory in many situations. In this project, we develop a pipeline to detect unmasked faces in images. This can, for example, be used to alert people that do not wear a mask when entering a building.

pytorch 包教不包会

Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

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.

Code for Tensorflow Machine Learning Cookbook

implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)

Early stopping for PyTorch

Keras tutorial for beginners (using TF backend)

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

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

Github repo with tutorials to fine tune transformers for diff NLP tasks

A comprehensive guide for learning regular expressions using Python

Important paper implementations for Question Answering using PyTorch

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

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Natural Language Processing with TensorFlow, published by Packt

Stock Price Prediction using Machine Learning Techniques

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.

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

BERT-NER (nert-bert) with google bert https://github.com/google-research.

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

Repo for Applied Text Mining in Python (coursera) by University of Michigan

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

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

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

Sentiment Analysis with LSTMs in Tensorflow

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

Natural Language Processing Tutorial for Deep Learning Researchers

Long short-term memory recurrent neural networks for learning peptide and protein sequences to later design new, similar examples.

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

Slides and Jupyter notebooks

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

Predicting forex binary options using time series data and machine learning

Implementation of different techniques to find insights from the satellite data using Python.

Sample notebooks for Kaggle competitions