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affectivetweets

A WEKA package for analyzing emotion and sentiment of tweets.

bert-sentiment

bert_language_understanding

Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

cs224n

CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017

cs224n-2019

My completed implementation solutions for CS224N 2019

cs224n-2019-solutions

Complete solutions for Stanford CS224n, winter, 2019

cs224n-stanford-winter-2019

The collection of ALL relevant materials about CS224N-Stanford/Winter 2019 course. THANKS TO THE PROFESSOR AND TAs! 斯坦福大学CS224N 【2019】课程的【所有】相关的资料。感谢Chris Manning教授和Abigail See，感谢所有助教！

data-analysis-with-r

Using gglot2, tidyr, dplyr, ggmap, choroplethr, shiny, logistic regression, clustering models and more

datasets

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

deep-learning-for-hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

did2s_stata

Two-Stage Difference-in-Differences following Gardner (2021)

dlbook_notation

LaTeX files for the Deep Learning book notation

drawio-libs

Libraries for draw.io

edyn

R package for computing Utterance Emotion Dynamics

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit

frauddetection

Accounting Fraud Detection Using Machine Learning

getting-things-done-with-pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases.

gt-nlp-class

Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"

hanlp

Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification

html2text

Convert HTML to Markdown-formatted text.

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

kashgari

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

latest-news-classifier

Master in Data Science Final Project

latex_presentation

Diagrams of neural networks (NN, DNN, CNN, RNN, LSTM, JANET, etc.) made in latex.

machine-learning-excercise-notebook-python

Andrew Ng机器学习对应Python Jupyter Notebook

machine-learning-with-python

Python code for common Machine Learning Algorithms

natural-language-processing

Resources for "Natural Language Processing" Coursera course.

natural-selection-of-words

This repository contains the software used in the paper "The Natural Selection of Words: Finding the Features of Fitness" (see natural-selection-of-words.pdf).