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

A Jupyter notebook viewer for macOS

Book and code for Think Complexity, 2nd edition

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

Notebook to download machine learning flashcards

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

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

Pangeo website + discussion of general issues related to the project.

Differentiable, Hardware Accelerated, Molecular Dynamics

Named Entity Recognition using multilayered bidirectional LSTM

Learning to trade under the reinforcement learning framework

A few notebooks about deep learning in pytorch

Boxes.py - laser cutting boxes and more

GNN综述阅读报告

A self driving toy car using end-to-end learning

Various Algorithms for Short Text Mining

全栈数据工程师养成攻略

Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js

Medical Q&A with Deep Language Models

H2O.ai Machine Learning Interpretability Resources

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。

Light-weight Single Person Pose Estimator

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP specific servers. PyNLPl most notably features a very extensive library for working with FoLiA XML (Format for Linguistic Annotation).

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

CORTX Community Object Storage is 100% open source object storage uniquely optimized for mass capacity storage devices.

【运筹OR帷幄|数据科学】pandas教程系列电子书

Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.

https://habr.com/ru/post/276725/

开发 bilibili 网站爬虫，大数据分析研究

主要存储Datawhale组队学习中“数据挖掘/机器学习”方向的资料。

End to end detection in crowded scenes

Music recommender using deep learning with Keras and TensorFlow

Code for some of my tutorials

STEAL - Learning Semantic Boundaries from Noisy Annotations (CVPR 2019)

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

由淺入深的深度學習資源 Collection of deep learning materials for everyone

STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)

pytablewriter is a Python library to write a table in various formats: CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV.

Statistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference (CVPR)

BERT with SentencePiece for Japanese text.

📔 在学院的书架上发现了一本不带脑子就能看懂的书《Python数据挖掘与实战》

Python 3 與數據分析概要

ai challenger 2018细粒度情感分类第一名解决方案, A training framework itegrating tensorflow and pytorch

文本情感分析

RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

基于深度学习的开源中文关系抽取框架

斯坦福 cs231n 作业代码实践

Apache Airflow tutorial

进入编程世界的第一课

TernausNetV2: Fully Convolutional Network for Instance Segmentation

Labs for Course DP-100: Designing and Implementing Data Science Solutions on Microsoft Azure

Fruits-360: A dataset of images containing fruits and vegetables

Deep NLP Course

Useful Python tips!

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.