6488 Open source projects that are alternatives of or similar to Bert_score

Python implementation of TextRank for phrase extraction and summarization of text documents

Entity linking framework

A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.

Graph Convolution Network for NLP

Machine Learning University: Accelerated Natural Language Processing Class

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)

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The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

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📚 [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

Visualize and explore NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2).

BERT semantic search engine for searching literature research papers for coronavirus covid-19 in google colab

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

Pre-trained Mongolian BERT models

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.

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

Resources for "Natural Language Processing" Coursera course.

Python tutorials as Jupyter Notebooks for NLP, ML, AI

Quiz & Assignment of Coursera

Natural Language Processing Tutorial for MindSpore Users

A list of NLP(Natural Language Processing) tutorials

Electra pre-trained model using Vietnamese corpus

Models and Pipelines for the Spark NLP library

Bert-base NLP pipeline for Turkish, Ner, Sentiment Analysis, Question Answering etc.

A curated list of awesome embedding models tutorials, projects and communities.

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

Open Machine Learning course at MIPT

A collection of notebooks for Natural Language Processing from NLP Town

Some sample IPython notebooks for scikit-learn

Tooling for GANs in TensorFlow

Jupyter notebooks in Russian. Introduction to Python, basic algorithms and data structures

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

A PyTorch based library for all things neural differential equations

Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch

A tutorial on the most important features and idioms of Scala that you need to use Spark's Scala APIs.

Python library for Multi-Armed Bandits

An intro to Python & programming for wanna-be data scientists

Enabling journalists, citizen scientists, humanitarian workers and others to detect “patterns of interest” in satellite imagery.

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

Project page for "The Fuzzing Book"

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

Notebooks for learning deep learning

python partial dependence plot toolbox

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Digital Signal Processing - Theory and Computational Examples

Quantified Self Personal Data Aggregator and Data Analysis

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Deliberate Practice for Learning Python

The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.

Named Entity Recognition using multilayered bidirectional LSTM

A simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly

Python toolkit for quantitative finance