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

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

CINO: Pre-trained Language Models for Chinese Minority (少数民族语言预训练模型)

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

Implementation of the paper "Language-agnostic representation learning of source code from structure and context".

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

A collection of Models, Datasets, DataModules, Callbacks, Metrics, Losses and Loggers to better integrate pytorch-lightning with transformers.

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.

A Framework for Textual Entailment based Zero Shot text classification

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

Use custom tokenizers in spacy-transformers

Anonymization of legal cases (Fr) based on Flair embeddings

This repository contains code for the O'Reilly Live Online Training for BERT

A visual data pipeline builder with various backends

A Rock-Paper-Scissors game using computer vision and machine learning on Raspberry Pi

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

A collection of Danish Transformers

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

A python 3 implementation of decision tree (machine learning classification algorithm) from scratch

Reading and writing pandas DataFrames in Elasticsearch

Implementation of Uniformer, a simple attention and 3d convolutional net that achieved SOTA in a number of video classification tasks, debuted in ICLR 2022

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

A SVM model that classifies the reviews as real or fake. Used both the review text and the additional features contained in the data set to build a model that predicted with over 85% accuracy without using any deep learning techniques.

Example notebooks illustrating MovingPandas use cases

Code for Editing Factual Knowledge in Language Models

A guide to getting started with Data Science and ML.

An automatic machine learning system

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

The repository host the API for the ML model via FastAPI, Flask and contains android app development files using KivyMD.

🛠️ Tools for Transformers compression using PyTorch Lightning ⚡

Using Transformers from HuggingFace in R

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

Transformer/Transformer-XL/R-Transformer examples and explanations

web scraping tool for grailed.com

Unofficial JAX implementations of deep learning research papers

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

detect objects using svm and opencv

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

Template codes and examples for Python machine learning concepts

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

Base machine learning image and environment.

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

Facial Expression Recognition

Neural Relation Understanding: neural cardinality estimators for tabular data

Real-time hand pose estimation and gesture classification using TensorRT

KB국민은행에서 제공하는 경제/금융 도메인에 특화된 한국어 ALBERT 모델

인프런 - 단 두 장의 문서로 데이터 분석과 시각화 뽀개기

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

Engezny is a python package that quickly generates all possible charts from your dataframe and saves them for you, and engezny is only supporting now uni-parameter visualization using the pie, bar and barh visualizations.

Algorithmic trading using machine learning.

[AAAI 2022] This is the official PyTorch implementation of "Less is More: Pay Less Attention in Vision Transformers"

Scripts demo-ing how to train a Word2Vec model and reduce its vector space

Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

A marketing tool that helps you to market your products using organic marketing. This tool can potentially save you 1000s of dollars every year. The tool predicts the reach of your posts on social media and also suggests you hashtags for captions in such a way that it increases your reach.

Collection of NLP model explanations and accompanying analysis tools

API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation

Making BERT stretchy. Semantic Elasticsearch with Sentence Transformers

(TPAMI 2022) Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer

Powerful unsupervised domain adaptation method for dense retrieval. Requires only unlabeled corpus and yields massive improvement: "GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval" https://arxiv.org/abs/2112.07577

A Python multilingual toolkit for Sentiment Analysis and Social NLP tasks

Class-imbalanced / Long-tailed ensemble learning in Python. Modular, flexible, and extensible. | 模块化、灵活、易扩展的类别不平衡/长尾机器学习库