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

💡 Type hints for Numpy

Using word vectors to classify spam messages

Sentence Classifications with Neural Networks

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

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

Implementing Facebook's FastText with java

pure-Python HistFactory implementation with tensors and autodiff

An Engine-Agnostic Deep Learning Framework in Java

Detect and fix skew in images containing text

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

Functionalities in Excel translated to Python

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

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

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

Pre-trained word vectors of 30+ languages

NumPy based Python module for reading TDMS files produced by LabView

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

🌟 Human Face Detection based on AdaBoost

Data-frames & arrays on Clojure

A constantly updated python machine learning cheatsheet

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

Enables Jython to load native CPython extensions.

N-D labeled arrays and datasets in Python

📖 [译] 数据科学和人工智能技术笔记

An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.

Lightning Fast Language Prediction 🚀

Functional tensors for probabilistic programming

numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法

📓 deepleaning and cv notes.

Color tracking with OpenCV

A module for getting data into python from large data sources

Achieve your marketing goals with the data analytics power of Python

The Python Toolbox for Robotics

An ongoing fun challenge where I'll try to post one Python benchmark per day.

We're moving. Please visit https://github.com/PyWavelets

PrusaControl is an alternative user interface for Slic3r Prusa Edition

Automatic parallelization of Python/NumPy, C, and C++ codes on Linux and MacOSX

Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.

A Simple & Flexible Cross Framework Operators Toolkit

Read and write TIFF files. Forked from https://pypi.org/project/tifffile

C++ tensors with broadcasting and lazy computing

The templated deep learning framework, enabling framework-agnostic functions, layers and libraries.

📚 Various cheatsheets in PDF

美颜相机，具有人脸检测、磨皮美白人脸、滤镜、调节图片、摄像功能

A collection of analytics methods implemented with Python on Google Colab

A C++ Cuda Tensor Lazy Computing Library

Topic Modelling for Humans

Simple neural networks based only on Numpy

A pythonic interface for the ROOT libraries on top of the PyROOT bindings.

This is the official implementation of the AAAI 2021 accepted paper "Sketch Generation with Drawing Process Guided by Vector Flow and Grayscale"

Turn web cam into a black / white board

Data science and Big Data with Python

A Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution

How to build RNNs and LSTMs from scratch with NumPy.

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