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

Notebooks for the SciPy 2017 tutorial "The Jupyter Interactive Widget Ecosystem"

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks

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

DLTK Model Zoo

DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

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)

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Scripts and tools to easily communicate with DeepGTAV. In the future a self-driving agent will be implemented.

Using Keras and cats to visualize layers from CNNs

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

nbconvert as a web service: Render Jupyter Notebooks as static web pages

1st place solution

A store of Helm chart tarballs for deploying JupyterHub and BinderHub on a Kubernetes cluster

convolutional lstm implementation in pytorch

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

A series of Jupyter Notebooks on exploring Unidata technology with Python. See website for more information.

Create publication-quality books from Jupyter notebooks

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

🐍💻📊 All material from the PyCon.DE 2018 Talk "Beyond Jupyter Notebooks - Building your own data science platform with Python & Docker" (incl. Slides, Video, Udemy MOOC & other References)

Implementation of "Generating Sequences With Recurrent Neural Networks" https://arxiv.org/abs/1308.0850

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

jupyter/ipython experiment containers for GPU and general RAM re-use

📊 Algorithm Visualizer for IPython/Jupyter Notebook

Python for chemoinformatics

Predict Race and Ethnicity Based on the Sequence of Characters in a Name

공공데이터 분석

SQLCell is a magic function for the Jupyter Notebook that executes raw, parallel, parameterized SQL queries with the ability to accept Python values as parameters and assign output data to Python variables while concurrently running Python code. And *much* more.

R kernel for Jupyter

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

Library extending Jupyter notebooks to integrate with Apache TinkerPop and RDF SPARQL.

Template for nbdev projects

TensorFlow template application for deep learning

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

📚 Various cheatsheets in PDF

A collection of Jupyter Notebooks for learning Python for Data Science.

Tools for diffing and merging of Jupyter notebooks.

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

Automatic image captioning model based on Caffe, using features from bottom-up attention.

Activity Recognition from 2D pose using an LSTM RNN

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

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

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

5th place solution for Kaggle competition Favorita Grocery Sales Forecasting

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

WebRTC for Jupyter notebook/lab

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

Repository to store sample python programs for python learning

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

DCGAN image generator 🖼️.

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

Anomaly detection for temporal data using LSTMs