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

Python library to easily log experiments and parallelize hyperparameter search for neural networks

A curated list of fraud detection papers using graph information or graph neural networks

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

📖 The Official Dash Userguide & Documentation

深度学习在推荐系统中的应用及论文小结。

A library of extension and helper modules for Python's data analysis and machine learning libraries.

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

阿水的数据竞赛开源分支

Automatic extraction of relevant features from time series:

Deep Learning Computer Vision Algorithms for Real-World Use

Code for Machine Learning for Algorithmic Trading, 2nd edition.

📘 The interactive computing suite for you! ✨

Probabilistic reasoning and statistical analysis in TensorFlow

Single-Cell Analysis in Python. Scales to >1M cells.

Advanced Pandas Vault — Utilities, Functions and Snippets (by @firmai).

DataPrep — The easiest way to prepare data in Python

A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.

R Package: Parallel Distance Matrix Computation using Multiple Threads

Interactive network visualization in Python and Dash, powered by Cytoscape.js

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

Leave One Feature Out Importance

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]

apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/index.html

Data Science Course in a Box

🎯 Personal data science and machine learning toolbox

Easily install and load packages from the tidyverse

Extração de dados da API do CartolaFC, análise exploratória dos dados e modelos preditivos em R e Python - 2014-20. [EN] Data munging, analysis and modeling of CartolaFC - the most popular fantasy football game in Brazil and maybe in the world. Data cover years 2014-19.

Temporary home for fastai v2 while it's being developed

A repository of pretty cool datasets that I collected for network science and machine learning research.

Data Science

open source for wechat-official-account (ID: PyDataLab)

A proofreader for your data

Jupyter notebooks from the scikit-learn video series

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

Function-oriented Make-like declarative workflows for R

NFStream: a Flexible Network Data Analysis Framework.

Debugging, monitoring and visualization for Python Machine Learning and Data Science

Data science interview questions with answers. Not ideally (yet)

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.

English and European soccer results 1871-2020

AutoGluon: AutoML for Text, Image, and Tabular Data

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.

Interactive and Reactive Data Science using Scala and Spark.

ELKI Data Mining Toolkit

Curso de Data Science em Português

Javascript full-stack framework for Big Data visualisation and analysis

Code For The Issue Label Bot, an App that automatically labels issues using machine learning, available on the GitHub Marketplace. This is also code for the blog article: "How to automate tasks on GitHub with machine learning for fun and profit"

This is a collection of all the code that can be found on my YouTube channel Sigma Coding.

Compilation of R and Python programming codes on the Data Professor YouTube channel.

simple tools for data cleaning in R

A django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.

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.

Wolfram Language code and notebooks related to the coronavirus outbreak

The purpose of this project is to share knowledge on how awesome Streamlit is and can be

Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"