- Recognition-of-logical-document-structures VS Multi-Type-TD-TSR
- Recognition-of-logical-document-structures VS algorithms
- Recognition-of-logical-document-structures VS ML-University
- Recognition-of-logical-document-structures VS Data-Structures-and-Algorithms
- Recognition-of-logical-document-structures VS C-Plus-Plus
Recognition-of-logical-document-structures Alternatives
Similar projects and alternatives to Recognition-of-logical-document-structures based on common topics and language
-
Multi-Type-TD-TSR
Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition:
-
algorithms
Algorithms & Data Structures & Computer Science studies (by imteekay)
-
WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
-
ML-University
Machine Learning Open Source University
-
Data-Structures-and-Algorithms
Data Structures and Algorithms implemented In Python, C, C++, Java or any other languages. Aimed to help strengthen the concepts of DSA. Give a Star 🌟 if it helps you.
-
C-Plus-Plus
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
-
tinymind
Tinymind is a Neural Network and Machine Learning project intended to provide a C++ template library for neural nets and machine learning algorithms within embedded systems.
Recognition-of-logical-document-structures reviews and mentions
We haven't tracked posts mentioning Recognition-of-logical-document-structures yet.
Tracking mentions began in Dec 2020.
Stats
Psarpei/Recognition-of-logical-document-structures is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of Recognition-of-logical-document-structures is C++.