856 Open source projects that are alternatives of or similar to Fasttext

🚀 A Google Chrome / Firefox extension that blocks NSFW images from the web pages that you load using TensorFlow JS.

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

Best Practices, code samples, and documentation for Computer Vision.

Data Polygamy is a topology-based framework that allows users to query for statistically significant relationships between spatio-temporal data sets.

(deprecated) A fast and memory-efficient Python data engineering framework for machine learning.

An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).

A Julia machine learning framework

Talks & Workshops by the CODAIT team

A List of Data Science/Machine Learning Resources (Mostly Free)

Example projects, code, and documents for comparing Mathematica with R.

A collection of computer vision pre-trained models.

🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!

ZenML 🙏: MLOps framework to create reproducible ML pipelines for production machine learning.

The (un)official repository for my master thesis

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

Learn advanced data science on real-life, curated problems

Transpile trained scikit-learn estimators to C, Java, JavaScript and others.

A list of conferences connected with data worldwide.

USC urban data science course series with Python and Jupyter

🦉Data Version Control | Git for Data & Models | ML Experiments Management

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Open solution to the Santander Value Prediction Challenge 🐠

Resources for weekly Data Science Lunch & Learns

Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀

Robust, distributed version control for large files.

Python Helper library for Jupyter Notebooks

A simple algorithm for clustering web pages, suitable for crawlers

Some useful Tips and Tricks to speed up the data analysis process in Python.

Visualise your data from Scala using Plotly

PHP-ML - Machine Learning library for PHP

An Unsupervised Graph-based Toolbox for Fraud Detection

Data Annotation, Data Labeling, Annotation Tooling, Training Data for Machine Learning

🚚 Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark

R Package: Parallel Distance Matrix Computation using Multiple Threads

Easily install and load packages from the tidyverse

A python package for plotting animated and interactive bubble charts using Plotly

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.

simple tools for data cleaning in R

Pacote R para acessar dados do congresso nacional.

.NET Interactive takes the power of .NET and embeds it into your interactive experiences. Share code, explore data, write, and learn across your apps in ways you couldn't before.

I will update this repository to learn Machine learning with python with statistics content and materials

потоковый курс "Машинное обучение и анализ данных (Machine Learning and Data Mining)" на факультете ВМК МГУ имени М.В. Ломоносова

SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)

Open Machine Learning Course

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

I was once asked about transitioning to a career in data science by three different UChicago grad students over a short period of time, so I decided to put together this outline in case anyone else was curious.

Soccer Analytics in R using OPTA data

Python training for business analysts and traders

Datumbox is an open-source Machine Learning framework written in Java which allows the rapid development of Machine Learning and Statistical applications.

The Art of Data Science

My solution to the book A Collection of Data Science Take-Home Challenges

A collection of Bash scripts and Dockerfiles to install data science Tool, Lib and application

A Python library that helps data scientists to infer causation rather than observing correlation.

you're invited to a data party!

A workshop on data privacy methods for data scientists.

Template for getting started with automated ML Ops on Azure Machine Learning

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

《python数据分析与挖掘实战》的代码笔记

All of my recommendations for aspiring engineers in a single place, coming from various areas of interest.