629 Open source projects that are alternatives of or similar to xpandas

machine learning web app game where the user competes against the AI in picking stocks

Daily Stock Forecasts using Machine Learning & Python

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Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

DataHub - Synthetic data library

机器学习数据，预测趋势并画图

A constantly updated python machine learning cheatsheet

Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.

Precompiled packages for AWS Lambda

SciKIt-learn Pipeline in PAndas

主要是爬虫与数据分析项目总结，外加建模与机器学习，模型的评估。

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

This repository consists of all my Machine Learning Projects.

Kai Sheng Teh - Udacity Data Analyst Nanodegree

📖 每一个伟大的思想和行动都有一个微不足道的开始

NOTE: skutil is now deprecated. See its sister project: https://github.com/tgsmith61591/skoot. Original description: A set of scikit-learn and h2o extension classes (as well as caret classes for python). See more here: https://tgsmith61591.github.io/skutil

A list of data mining and machine learning papers that I implemented in 2019.

CS 7641 - All the code

Machine Learning for Spot Prices

Abstractive and Extractive Text summarization using Transformers.

This library was developed for economic analysis in the Brazilian scenario (Investments, micro and macroeconomic indicators)

Implementation of Long-Short Transformer, combining local and global inductive biases for attention over long sequences, in Pytorch

Repository for the projects needed to complete the Data Analyst Nanodegree.

Simple stock price analytics

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

Emotiw2017 code

data wrangling simplicity, complete audit transparency, and at speed

Analyzing Trump's tweets using Python (Pandas + Twitter workshop)

DeepConsensus uses gap-aware sequence transformers to correct errors in Pacific Biosciences (PacBio) Circular Consensus Sequencing (CCS) data.

A set of tools for leveraging pre-trained embeddings, active learning and model explainability for effecient document classification

A collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.

Notes and tutorials on how to use python, pandas, seaborn, numpy, matplotlib, scipy for data science.

Anonymization of legal cases (Fr) based on Flair embeddings

A visual data pipeline builder with various backends

This repository contains demos I made with the Transformers library by HuggingFace.

Clean APIs for data cleaning. Python implementation of R package Janitor

Reading and writing pandas DataFrames in Elasticsearch

도서 "[개정판] 파이썬 라이브러리를 활용한 머신 러닝"의 주피터 노트북과 코드입니다.

A guide to getting started with Data Science and ML.

Example notebooks illustrating MovingPandas use cases

Tools that make working with scikit-learn and pandas easier.

A Los Angeles Times analysis of Every shot in Kobe Bryant's NBA career

🛠️ Tools for Transformers compression using PyTorch Lightning ⚡

Connectors available to retrieve data in Toucan Toco small apps

An introductory workshop on pandas with notebooks and exercises for following along.

DatScan is an initiative to build an open-source CMS that will have the capability to solve any problem using data Analysis just with the help of various modules and a vast standardized module library

Read, write and update large scale pandas DataFrame with Elasticsearch

Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'

web scraping tool for grailed.com

Code for WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models.

Download data from EOD historical data https://eodhistoricaldata.com/ using Python, Requests and Pandas.

Simple sklearn based python implementation of Positive-Unlabeled (PU) classification using bagging based ensembles

Learning materials to get started with Python using Pandas, a library to manipulate Data.

Small library to read serialized protobuf(s) directly into Pandas Dataframe

Автоматизация поиска и исследования вакансий с сайта hh.ru (Headhunter) с помощью методов Python. Классификация данных, поиск статистических параметров.

Track Animation is a Python 2 and 3 library that provides an easy and user-adjustable way of creating visualizations from GPS data.

Nested Sampling post-processing and plotting

Facial Expression Recognition

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A scalable general purpose micro-framework for defining dataflows. You can use it to create dataframes, numpy matrices, python objects, ML models, etc.