6297 Open source projects that are alternatives of or similar to Headlines

Sentiment Analysis with LSTMs in Tensorflow

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

All my experiments with AI and ML

Paper Lists, Notes and Slides, Focus on NLP. For summarization, please refer to https://github.com/xcfcode/Summarization-Papers

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

Code for Tensorflow Machine Learning Cookbook

Detecting emotions using MFCC features of human speech using Deep Learning

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

코딩셰프의 3분 딥러닝, 케라스맛

Natural Language Processing with TensorFlow, published by Packt

[EMNLP 2019] Mixture Content Selection for Diverse Sequence Generation (Question Generation / Abstractive Summarization)

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

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

Stock Price Prediction using Machine Learning Techniques

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

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

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

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

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

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

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

Hierarchical Attention Networks for Chinese Sentiment Classification

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

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

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

Keras tutorial for beginners (using TF backend)

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)

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

Implementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.

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.

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

🎨 Artistic neural style transfer with tweaks (pytorch).

TensorFlow Tutorial for Time Series Prediction

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

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

All about Neural Networks!

Datasets I have created for scientific summarization, and a trained BertSum model

PyTorch tutorial for learners

使用PyTorch实现Char RNN生成古诗和周杰伦的歌词

Deep learning codes and projects using Python

Chinese Poetry Generation

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。

TF2.0 / TensorFlow 2.0 / TensorFlow2.0 官方文档中文版

1st place solution

Python implementation of TextRank for phrase extraction and summarization of text documents

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

Multiple implementations for abstractive text summurization , using google colab

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

Simple XLNet implementation with Pytorch Wrapper

Tutorials and information on the Julia language for MIT numerical-computation courses.

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

Code base for the Learning PySpark book (in preparation)

Observations from Ian on successfully delivering data science products

Pangeo website + discussion of general issues related to the project.

A few notebooks about deep learning in pytorch

A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".