950 Open source projects that are alternatives of or similar to Traffic

Keras community contributions

Achieve your marketing goals with the data analytics power of Python

This project is meant to provide resources to users who want to access good LinkedIn posts which contains resources to learn any Technology, Design, Self-Branding, Motivation etc. You can visit project by:

State-of-the art Automated Machine Learning python library for Tabular Data

Material for the SciPy 2017 Cython tutorial

PipelineX: Python package to build ML pipelines for experimentation with Kedro, MLflow, and more

Machine Learning in R

A validation library for Pandas data frames using user-friendly schemas

repo for code published on pythondata.com

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Kaggle Kernel for House Prices competition https://www.kaggle.com/massquantity/all-you-need-is-pca-lb-0-11421-top-4

🌍 The R&D of a sentiment analysis module, and the implementation of it on real-time social media data, to generate a series of live visual representations of sentiment towards a specific topic or by location in order to find trends.

Welcome everyone!🌟 Here you can solve problems, build scrappers and much more💻

Notes for Deep Learning Specialization Courses led by Andrew Ng.

Visualization components for the web

YouTube Like Count Predictions using Machine Learning

Data science and Big Data with Python

Pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.

Interface to use R from Python

R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks

Deutsche Boerse's Financial Trading Public Data Set

Machine Learning and Data Analysis Coursera Specialization from Yandex and MIPT

🐍💻📊 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)

Dash Demo App - Stock Tickers

Open solution to the TGS Salt Identification Challenge

Vue Flowy makes creating flowchart or hierarchy chart functionality an easy task. Build automation software, mind mapping tools, organisation charts, or simple programming platforms in minutes by implementing the library into your project.

A collection of popular Data Science Challenges/Competitions || Countdown timers to keep track of the entry deadlines.

A Python library for easy data analysis, visualization, exploration and modeling

Free and Open Source software for numerical computation providing a powerful computing environment for engineering and scientific applications.

Deep learning library featuring a higher-level API for TensorFlow.

Collection of open-source Spark tools & frameworks that have made the data engineering and data science teams at Swoop highly productive

Ultimate Tennis Statistics and Tennis Crystal Ball - Tennis Big Data Analysis and Prediction

Readings in applied data science

A Java Toolbox for Scalable Probabilistic Machine Learning

Experiment tracking for machine and deep learning projects

Yet another black-box optimization library for Python

Blockchain2graph extracts blockchain data (bitcoin) and insert them into a graph database (neo4j).

A Chinese translation of Jake Vanderplas' "Python Data Science Handbook". 《Python数据科学手册》在线Jupyter notebook中文翻译

A schema analyzer for MongoDB

Datasets, tools, and benchmarks for representation learning of code.

Griffon Data Science Virtual Machine

A searchable compilation of Kaggle past solutions

Lightweight, Python library for fast and reproducible experimentation 🔬

Explore high-dimensional datasets and how your algo handles specific regions.

SF Brigade's Data Science Working Group.

Best Practices on Recommendation Systems

Self-knowledge through numbers

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

Build a data visualization dashboard with simple snippets of python code

Accelerate data science

Resources for the O'Reilly online video "Reactive Python for Data"

Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

A block explorer for Cosmos

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a curated list of R tutorials for Data Science, NLP and Machine Learning

R for Reproducible Scientific Analysis

A Julia package for piping a value through a series of transformation expressions using a more convenient syntax than Julia's native piping functionality.