6097 Open source projects that are alternatives of or similar to Nlp_made_easy

Statistical Rethinking (2nd ed.) with NumPyro

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

NLP Core Library and Model Zoo based on PaddlePaddle 2.0

Contains files related to content and project of DSND

Udacity Project - Vehicle Detection

A collection of various deep learning architectures, models, and tips

my note

Applying Data Science and Machine Learning to Solve Real World Business Problems

A toolkit to learn how to model and interpret regulatory sequence data using deep learning.

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

Machine Learning notebooks for refreshing concepts.

Generating multiple choice questions from text using Machine Learning.

Official mirror of https://gitlab.com/lfortran/lfortran. Please submit pull requests (PR) there. Any PR sent here will be closed automatically.

Decaf is DEPRECATED! Please visit http://caffe.berkeleyvision.org/ for Caffe, the new framework that has all the good things: GPU computation, full train/test scripts, native C++, and an active community!

Ciência de Dados aplicada à pandemia do novo coronavírus.

Structured Inference Networks for Nonlinear State Space Models

Navigating the GAN Parameter Space for Semantic Image Editing

The accompanying files for the book 'Dataviz with Python and JavaScript'

A collection of IPython notebooks covering various topics.

A benchmark dataset for data-driven weather forecasting

Visual Question Answering Demo on pretrained model

Compared performance of KNN, SVM, BPNN, CNN, Transfer Learning (retrain on Inception v3) on image classification problem. CNN is implemented with TensorFlow

Movie plots by genre tutorial at PyData Berlin 2016

Melusine is a high-level library for emails classification and feature extraction "dédiée aux courriels français".

Simple Implementation of many GAN models with PyTorch.

Repository containing files for my PyCon 2014 scikit-learn tutorial.

《统计学原理实验教程（Python）》书中代码实现。尽可能加注释，力求代码的可复用性。

Scientific Python Geometric Algorithms Library

A collection of tutorials on neural networks, using Theano

A tutorial on TensorFlow

STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)

A web frontend for scheduling Jupyter notebook reports

18.S096 three-week course at MIT

虾神的Python示例代码库

A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.

Kaggle Struggle

Example Machine Learning Scripts for Numerai's Tournament

fastai V2 implementation of Timeseries classification papers.

🏖 Easy training and deployment of seq2seq models.

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

[tutorial]A functional, Data Science focused introduction to Python

Tools for using a variational auto-encoder for latent image encoding and generation.

Bonus materials, exercises, and example projects for our Python tutorials

Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python and scala)

Pytorch implementation of set transformer

Unsupervised clustering with (Gaussian mixture) VAEs

Oxford Deep NLP 2017 course - Practical 1: word2vec

Quantitative finance research tools in Python

Deep learning based speech source separation using Pytorch

Stock price prediction with recurrent neural network. The data is from the Chinese stock.

PyTorch Implementation of Deformable Convolution

a toolkit for working with Oxford nanopore data

Visualisation tool for CNNs in pytorch

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

Beaker Extensions for Jupyter Notebook

Transfer learning for music classification and regression tasks

Analysis scripts of things related to satellites

The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Python. The Toolbox realizes LRP functionality for the Caffe Deep Learning Framework as an extension of Caffe source code published in 10/2015.