treexterr

treexterr's Stars

• glebmikha/ds-course

  Language:Jupyter Notebook13361

• timoxapir/binance_arbitrage

  Скрипт для арбитражных сделок на бирже Binance

  Language:Jupyter Notebook813

• krishnaik06/Live-Time-Series

  Language:Jupyter Notebook97125

• Anorov/cloudflare-scrape

  A Python module to bypass Cloudflare's anti-bot page.

  Language:Python3.4k459

• mariostoev/finviz

  Unofficial API for finviz.com

  Language:Python1.1k278

• binance/binance-connector-python

  Simple connector to Binance Public API

  Language:Python1.9k493

• man-c/pycoingecko

  Python wrapper for the CoinGecko API

  Language:Python1k272

• microsoft/ML-For-Beginners

  12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

  Language:HTML69.5k14.4k

• grangier/python-goose

  Html Content / Article Extractor, web scrapping lib in Python

  Language:HTML4k788

• lerdem/olx-parser

  Parsing olx site (olx.ua, olx.pl, olx.kz) ads and receive notification via rss or telegram. Converts search url into rss feed.

  Language:Python307

• pycaret/pycaret

  An open-source, low-code machine learning library in Python

  Language:Jupyter Notebook8.9k1.8k

• lorien/awesome-web-scraping

  List of libraries, tools and APIs for web scraping and data processing.

  Language:Makefile6.6k784

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python134k26.7k

• microprediction/microprediction

  If you can measure it, consider it predicted

  Language:Jupyter Notebook33259

• goose3/goose3

  A Python 3 compatible version of goose http://goose3.readthedocs.io/en/latest/index.html

  Language:HTML816101

• mikhailklassen/Mining-the-Social-Web-3rd-Edition

  The official online compendium for Mining the Social Web, 3rd Edition (O'Reilly, 2018)

  Language:Jupyter Notebook927486

• ikatsov/tensor-house

  A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.

  Language:Jupyter Notebook1.3k467

• borisbanushev/stockpredictionai

  In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

  4.2k1.7k

• automl/Auto-PyTorch

  Automatic architecture search and hyperparameter optimization for PyTorch

  Language:Python2.4k286

• automl/auto-sklearn

  Automated Machine Learning with scikit-learn

  Language:Python7.6k1.3k

• MariyaSha/WebscrapingInstagram

  Multiple Notebooks for Web Scraping Instagram with Selenium

  Language:Jupyter Notebook234177

• facebookresearch/Kats

  Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

  Language:Python4.9k538

• google-research-datasets/wit

  WIT (Wikipedia-based Image Text) Dataset is a large multimodal multilingual dataset comprising 37M+ image-text sets with 11M+ unique images across 100+ languages.

  1k41

• salesforce/Merlion

  Merlion: A Machine Learning Framework for Time Series Intelligence

  Language:Python3.4k298

• google-ai-edge/mediapipe

  Cross-platform, customizable ML solutions for live and streaming media.

  Language:C++27.3k5.1k

• AutoViML/Auto_ViML

  Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

  Language:Python520102

• intive-DataScience/tbats

  BATS and TBATS forecasting methods

  Language:Python17819

• IlyaGusev/summarus

  Models for automatic abstractive summarization

  Language:Python17020

• ourownstory/neural_prophet

  NeuralProphet: A simple forecasting package

  Language:Python3.9k476

• awslabs/gluonts

  Probabilistic time series modeling in Python

  Language:Python4.6k750