7012 Open source projects that are alternatives of or similar to Screenshot To Code

Natural Language Processing with TensorFlow, published by Packt

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

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 a hierarchical CNN based model to detect Big Five personality traits

Multiple implementations for abstractive text summurization , using google colab

Image Captioning using InceptionV3 and beam search

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

News summarization using sequence to sequence model with attention in TensorFlow.

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

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

Sequence-to-Sequence Framework in PyTorch

The deeplearning algorithms implemented by tensorflow

lidc nodule detection with CNN and LSTM network

keras를 이용한 딥러닝 기초 학습

Chinese Poetry Generation

Predict Cryptocurrency Price with Deep Learning

Implementation of Neural Image Captioning model using Keras with Theano backend

All about Neural Networks!

Implementation of a seq2seq model for Speech Recognition using the latest version of TensorFlow. Architecture similar to Listen, Attend and Spell.

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

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

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

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

Some interesting TensorFlow tutorials for beginners.

Solution to Kaggle - Web Traffic Time Series Forecasting

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

PyTorch tutorial for learners

Object classification with CIFAR-10 using transfer learning

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

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

Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.

CNN image classifier implemented in Keras Notebook 🖼️.

Jupyter notebook server extension to proxy web services.

Multi dimensional LSTM as described in Alex Graves' Paper https://arxiv.org/pdf/0705.2011.pdf

Enables the use of Stata together with Python via Jupyter (IPython) notebooks.

iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android

🐳📊🤓Cookiecutter template to launch an awesome dockerized Data Science toolstack (incl. Jupyster, Superset, Postgres, Minio, AirFlow & API Star)

🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.

A PyTorch implementation of "DGC-Net: Dense Geometric Correspondence Network"

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

📚 Various cheatsheets in PDF

Repository to store sample python programs for python learning

TensorFlow template application for deep learning

Keras implementation of "Few-shot Learning for Named Entity Recognition in Medical Text"

Template for nbdev projects

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

Activity Recognition from 2D pose using an LSTM RNN

Continuous- and Discrete-Time Signals and Systems - Theory and Computational Examples

Ten Simple Rules for Writing and Sharing Computational Analyses in Jupyter Notebooks

Tools for diffing and merging of Jupyter notebooks.

TensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths" for classifying relations

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

DCGAN image generator 🖼️.

WebRTC for Jupyter notebook/lab

A Jupyter kernel for Stata. Works with Windows, macOS, and Linux.

A Quick Look generator for Jupyter/IPython notebooks without further dependencies

This repository provides everything you need to get started with Python for (social science) research.

5th place solution for Kaggle competition Favorita Grocery Sales Forecasting

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

Style transfer using deep convolutional neural nets