6613 Open source projects that are alternatives of or similar to Interpret Text

Machine Learning and NLP: Text Classification using python, scikit-learn and NLTK

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Text Mining in Python

The Python Code Tutorials

implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

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Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

Your Advanced Twitter stalking tool

Educational material on using the TensorFlow Estimator framework for text classification

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This is the code for "Stock Market Prediction" by Siraj Raval on Youtube

PyTorch Implementation of Deformable Convolution

Materials for GWU DNSC 6279 and DNSC 6290.

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Visualising LIDAR data from KITTI dataset.

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

Malware Detection and Classification Using Machine Learning

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0xcert Framework - JavaScript framework for building decentralized applications - build something unique

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Machine Learning Ops Workshop with SageMaker: lab guides and materials.

Lightweight and Lightning-Fast ⚡️ Pinyin Library for JavaScript

Visualisation tool for CNNs in pytorch

This project has moved to gitlab

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

BAND：BERT Application aNd Deployment，Simple and efficient BERT model training and deployment, 简单高效的 BERT 模型训练和部署

Notes and Summaries on ML-related Research Papers (with optional implementations)

PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

Productionise your Jupyter Notebooks as easily as you wrote them.

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

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.

CardIO is a library for data science research of heart signals

This repo is deprecated, please use Deep Video Analytics which implements face recognition using TensorFlow and Facenet.

Deep Learning for Land-cover Classification in Hyperspectral Images.

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파이썬Python 강의에 사용되는 소스코드Source Code와 강의 자료들을 모은 repository 입니다.

🔮Getting started with TensorFlow: Classifying Text with Neural Networks

edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab

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