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

A fast, efficient universal vector embedding utility package.

Performance analysis of predictive (alpha) stock factors

numba_scipy extends Numba to make it aware of SciPy

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

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

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

机器学习相关教程

💡 Type hints for Numpy

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

Using word vectors to classify spam messages

Credit Risk analysis by using Python and ML

Sentence Classifications with Neural Networks

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

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

ROOT I/O in pure Python and NumPy.

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

Source material for Python Like You Mean it

Implementing Facebook's FastText with java

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

pure-Python HistFactory implementation with tensors and autodiff

Animations of random double pendulums

An Engine-Agnostic Deep Learning Framework in Java

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

Detect and fix skew in images containing text

Read and write Neuroglancer datasets programmatically.

Neural models for Text Classification in Tensorflow, such as cnn, dpcnn, fasttext, bert ...

Parallel computing with task scheduling

Functionalities in Excel translated to Python

A fast and simple perlin noise generator using numpy

The Nested Containment List for Python. Basically a static interval-tree that is silly fast for both construction and lookups.

A Python interface for Facebook fastText

cw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information

Ring-buffer implementation that thinly wraps a numpy array

NLP research：基于tensorflow的nlp深度学习项目，支持文本分类/句子匹配/序列标注/文本生成 四大任务

收录开源的经典技术书籍 PDF 文件及相关网站，持续更新中...

Pre-trained word vectors of 30+ languages

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

NumPy based Python module for reading TDMS files produced by LabView

Remote heart rate detection through Eulerian magnification of face videos

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

For extensive instructor led learning

🌟 Human Face Detection based on AdaBoost

An easy way to use for view's empty state 一行代码显示空视图，高度自定义

Data-frames & arrays on Clojure

Automatic paper clustering and search tool by fastext from Facebook Research

A constantly updated python machine learning cheatsheet

Visualize word embeddings of a vocabulary in TensorBoard, including the neighbors

Simple, fast, and parallelized symbolic regression in Python/Julia via regularized evolution and simulated annealing

Package to call Python functions from the Julia language

Enables Jython to load native CPython extensions.

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

N-D labeled arrays and datasets in Python

📖 [译] 数据科学和人工智能技术笔记

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)