464 Open source projects that are alternatives of or similar to Pyfasttext

🎚️ Open Source Audio Matching and Mastering

Fast N-dimensional aggregation functions with Numba

MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架

Numpy Audio DSP Tools

Add built-in support for quaternions to numpy

A fast, efficient universal vector embedding utility package.

A complete docker package for deploying django which is easy to understand and deploy anywhere.

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

R wrapper for fastText

Sparse multi-dimensional arrays for the PyData ecosystem

Performance analysis of predictive (alpha) stock factors

Simple library to make working with STL files (and 3D objects in general) fast and easy.

numba_scipy extends Numba to make it aware of SciPy

PyTorch1.x tutorials, examples and some books I found 【不定期更新】整理的PyTorch 1.x 最新版教程、例子和书籍

Mypy stubs, i.e., type information, for numpy, pandas and matplotlib

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

Implementation of cv::Mat conversion to numpy.array for pybind11

The fundamental package for scientific computing with Python.

One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques

Finger Detection and Tracking using OpenCV and Python

机器学习相关教程

ROOT I/O in pure Python and NumPy.

💡 Type hints for Numpy

NumPy-based text/binary PLY file reader/writer for Python

Connected components on multilabel 3D & 2D images. Handles 26, 18, and 6 connected variants.

Grokking Deep Reinforcement Learning

Using word vectors to classify spam messages

Deep learning framework realized by Numpy purely, supports for both Dynamic Graph and Static Graph with GPU acceleration

Credit Risk analysis by using Python and ML

A Python library for common tasks on 3D point clouds

Sentence Classifications with Neural Networks

64bit multithreaded python data analytics tools for numpy arrays and datasets

A two-way connector to use regular Python from IronPython in Rhino/Grasshopper, and vice-versa.

Examples for the usage of "pybind11"

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

ROOT I/O in pure Python and NumPy.

Bindings between Numpy and Eigen using Boost.Python

微信机器人，基于Python itchat接口功能实例展示：01-itchat获取微信好友或者微信群分享文章、02-itchat获取微信公众号文章、03-itchat监听微信公众号发送的文章、04 itchat监听微信群或好友撤回的消息、05 itchat获得微信好友信息以及表图对比、06 python打印出微信被删除好友、07 itchat自动回复好友、08 itchat微信好友个性签名词云图、09 itchat微信好友性别比例、10 微信群或微信好友撤回消息拦截、11 itchat微信群或好友之间转发消息

A simple movie recommendation engine

Source material for Python Like You Mean it

Nodejs binding for fasttext representation and classification.

Implementing Facebook's FastText with java

We can lock and unlock our Ubuntu system using face recognition(currently only on Ubuntu).

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

Some useful extensions for NumPy

pure-Python HistFactory implementation with tensors and autodiff

This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en

Animations of random double pendulums

Explorando aspectos fundamentais da matemática com Python e Jupyter

An Engine-Agnostic Deep Learning Framework in Java

NIPS Conversational Intelligence Challenge 2017 Winner System: Skill-based Conversational Agent with Supervised Dialog Manager

Bootcamp to learn Python for Machine Learning

Statistical Rethinking (2nd ed.) with NumPyro

JAX - A curated list of resources https://github.com/google/jax

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

This is Andrew NG Coursera Handwritten Notes.

LiTS - Liver Tumor Segmentation Challenge

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

Implementation of State-of-the-art Text Classification Models in Pytorch