7079 Open source projects that are alternatives of or similar to Jupyterlab Lsp

This is a jupyter practical tutorial. Welcome to edit together!

Jupyter Notebook extension leveraging pandas DataFrames by integrating DataTables and ChartJS.

Jupyter NoteBooks to get you boosted with the basics of python with hands-on-practice.

🐍💻📊 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)

Kakoune Language Server Protocol Client

NLP in Python with Deep Learning

Plotting library for IPython/Jupyter notebooks

Convolutional Neural Network for Human Activity Recognition in Tensorflow

Run code interactively, inspect data, and plot. All the power of Jupyter kernels, inside your favorite text editor.

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/

Convert Jupyter notebook to Excel spreadsheet

https://habr.com/ru/post/276725/

DCGAN face generator 🧑.

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

JupyterLab Extension to easily share a link to a running server on Binder

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

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

Repo that contains the supporting material for O'Reilly Webinar "An Intro to Predictive Modeling for Customer Lifetime Value" on Feb 28, 2017

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

Jupyter Notebook exercises for k-means clustering with Python 3 and scikit-learn

Training Diary

Kotlin API for Lets-Plot - an open-source plotting library for statistical data.

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

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.

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

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

Performance analysis of predictive (alpha) stock factors

A lightweight, multi-tenant, scalable and secure gateway that enables Jupyter Notebooks to share resources across distributed clusters such as Apache Spark, Kubernetes and others.

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

Interactive Canvas in Jupyter

NPM module to connect Monaco editor with language servers

D3 block magic for Jupyter notebook.

📚 Parameterize, execute, and analyze notebooks

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

Neural Turing Machines (NTM) - PyTorch Implementation

IPython Kernel for Jupyter

F# for Jupyter Notebooks

Start Tensorboard in Jupyter Notebook

Develop Dash apps in the Jupyter Notebook and JupyterLab

A collection of Bayesian data analysis recipes using PyMC3

【运筹OR帷幄|数据科学】pandas教程系列电子书

TypeScript & JavaScript Language Server

Reference deployment of JupyterHub with docker

An IPython magic extension for printing date and time stamps, version numbers, and hardware information

diagnostic language server integrate with linters

A Jupyter notebook viewer for macOS

Language Server Protocol support for Atom (the basis of Atom-IDE)

Minimal Jupyter C kernel

Quickly create live-update GUIs for Python packages using Markdown and simple HTML elements.

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

A tutorial on the most important features and idioms of Scala that you need to use Spark's Scala APIs.

提供对YOLOv3及Tiny的多种剪枝版本，以适应不同的需求。

Stock Price Prediction using Machine Learning Techniques

Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"

Python Deep Dive Course - Accompanying Materials

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.

Getting started with soccer analytics

Korean BERT pre-trained cased (KoBERT)

A frontend-independent IDE "smartness" server for Elixir. Implements the "Language Server Protocol" standard and provides debugger support via the "Debug Adapter Protocol"

A new kind of IDE for Data Science.