1555 Open source projects that are alternatives of or similar to A-Detector

Open Machine Learning Course

Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.

This is the final project for the Udacity Machine Learning Nanodegree: Predicting article retweets and likes based on the title using Machine Learning

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PdpCLI is a pandas DataFrame processing CLI tool which enables you to build a pandas pipeline from a configuration file.

A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn friendly interface in an effort to expedite the modeling process.

Credit Risk analysis by using Python and ML

📚 Various cheatsheets in PDF

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

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A collection of notebooks of my Machine Learning class written in python 3

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Small Docker image with Python Machine Learning tools (~180MB) https://hub.docker.com/r/frolvlad/alpine-python-machinelearning/

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

Python Cheat Sheet NumPy, Matplotlib

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)

pytablewriter is a Python library to write a table in various formats: CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV.

Convert CSV files into a SQLite database

The Los Angeles Times' independent tally of coronavirus cases in California.

PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer

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

packet captures of real-world ddos attacks

Network Tools

Alpine Container for Machine Learning

Курс "Введение в машинное обучение" (ВМК, МГУ имени М.В. Ломоносова)

brief introduction to Python for machine learning

Disease Prediction based on Symptoms.

Parallel computing with task scheduling

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases.

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Code, Notebooks and Examples from Practical Business Python

Predicting Profitable Day Trading Positions using Decision Tree Classifiers. scikit-learn | Flask | SQLite3 | pandas | MLflow | Heroku | Streamlit

General Assembly's 2015 Data Science course in Washington, DC

Kaggle Struggle

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

🍊 📊 💡 Orange: Interactive data analysis

Association Rule Mining from Spatial Data for Crime Analysis

A terminal spreadsheet multitool for discovering and arranging data

A Python toolkit for processing tabular data

The JavaScript data transformation and analysis toolkit inspired by Pandas and LINQ.

An Opinionated AlphaVantage API Wrapper in Python 3.9. Compatible with Pandas TA (pip install pandas_ta). Get your FREE API Key at https://www.alphavantage.co/support/

Python class to scrape data from rightmove.co.uk and return listings in a pandas DataFrame object

Learn Python for the next 30 (or so) Days.

Algorithmic trading using machine learning.

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

Implementation of feature engineering from Feature engineering strategies for credit card fraud

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

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Machine Learning for Spot Prices

A jupyter notebook having all most frequent used code snippet for daily data scienceoperations

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AsyncIO serving for data science models

All the slides, accompanying code and exercises all stored in this repo. 🎈

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.

My dataquest project solutions