Models and examples built with TensorFlow

Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

DocBank: A Benchmark Dataset for Document Layout Analysis

TableBank: A Benchmark Dataset for Table Detection and Recognition

Data Preprocessing with Python

Natural Language Processing and Computational Linguistics, published by Packt

Deep Learning with TensorFlow by Packt

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

Applied Social Network Analysis in Python by University of Michigan on Coursera

A quick guide for Linear Programming using Python (PuLP).

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

In this repository, I upload my 100 Days ML Code which I have learned from different courses(Coursera, udemy, edx, udacity), different websites blogs, different tutorials from YouTube, books, and r…

Computer vision is an interdisciplinary scientific field that deals with how computers can be made to gain a high-level understanding of digital images or videos. From the perspective of engineerin…

In this repository, I upload my Complete Deep Learning code which I have learned from different courses(Coursera, udemy, edx, udacity), different websites blogs, different tutorials from YouTube, b…

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

machine learning and deep learning tutorials, articles and other resources

Practical techniques for interpreting machine learning models.

Lime: Explaining the predictions of any machine learning classifier

Repository to store sample python programs for python learning

H2O.ai Machine Learning Interpretability Resources

Data from EDGAR filling was extracted and text analysis was performed.