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

Develop Dash apps in the Jupyter Notebook and JupyterLab

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

文本情感分析

A Jupyter notebook viewer for macOS

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

Ways of doing Data Science Engineering and Machine Learning in R and Python

Data Science Notebook on a Classification Task, using sklearn and Tensorflow.

An intro to Python & programming for wanna-be data scientists

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

Efficient, transparent deep learning in hundreds of lines of code.

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

DCGAN image generator 🖼️.

Training Diary

Exercise notebooks for CVND.

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

Implementation of papers for text classification task on DBpedia

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.

Use Jupyter Notebooks to demonstrate how to build a Recommender with Apache Spark & Elasticsearch

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

strip output from Jupyter and IPython notebooks

A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations (by @firmai)

A jupyter notebook serverextension providing config interfaces for nbextensions.

List of papers, code and experiments using deep learning for time series forecasting

A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.

Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol

Generating Dance steps for given music with deep learning

Keras implementation of paper 'Deep Visual Attention Prediction' which predicts human eye fixation on view-free scenes.

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

A Python implementation of Sky Region Detection in a Single Image for Autonomous Ground Robot Navigation (Shen and Wang, 2013)

Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

Create HTML profiling reports from pandas DataFrame objects

Association Rule Mining from Spatial Data for Crime Analysis

Materials for a Python Beginner's Course. First given at the Royal Society of Biology. Designed and delivered by Chas Nelson and Mikolaj Kundegorski.

Style transfer using deep convolutional neural nets

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Jupyter magics and kernels for working with remote Spark clusters

A deep learning based gaze estimation framework implemented with PyTorch

Anomaly detection for temporal data using LSTMs

Try out deep learning models online on Google Colab

[RETIRED] See Voilà as a supported replacement

A simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly

This toolbox is support material for the book on CNN (http://www.convolution.network).

A system for assigning and grading notebooks

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

Another attempt to use Deep-Learning in the financial markets

LSTM-CRF for NER with ConLL-2002 dataset

A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.

Computer vision sabbatical study materials

模仿莎士比亚创作戏剧！屌炸天的是还能创作金庸武侠小说！快star，保持更新！！

Sign Language Gesture Recognition From Video Sequences Using RNN And CNN

A site that displays up to date COVID-19 stats, powered by fastpages.

Create publication-quality books from Jupyter notebooks

Jupyter notebook server extension to proxy web services.

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

An OCaml kernel for Jupyter (IPython) notebook

MTCNN with Motion Detection, on Raspberry Pi with Love