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aivn-materials

awesome-deep-text-detection-recognition

A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.

awesome-document-understanding

A curated list of resources for Document Understanding (DU) topic

awesome-semi-supervised-learning

:scroll: An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

data-engineering-zoomcamp

Free Data Engineering course!

deep-learning-projects

This is a collection of deep learning projects that I code myself, mainly for learning and research purposes

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning-papernotes

Summaries and notes on Deep Learning research papers

deeplearningbook-notes

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)

doducthao.github.io

Some notes on AI/ML and Mathematics

examples

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

feature-store

fsdl-text-recognizer-2021-labs

Complete deep learning project developed in Full Stack Deep Learning, Spring 2021

fsdl-text-recognizer-project

The source repository is at https://github.com/full-stack-deep-learning/fsdl-text-recognizer

gan-margin

gans-2.0

Generative Adversarial Networks in TensorFlow 2.0

house-price-prediction

imagecrawlerstreamlit

ImageCrawler with Streamlit

kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

kie_invoice_minimal

Key information extraction from invoice document with Graph Convolution Network

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

mastering-large-datasets

Repository for Mastering Large Datasets with Python

mc_ocr

Solution for MC_OCR competition

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

mlops-azure

neural-collaborative-filtering

pytorch version of neural collaborative filtering

ngcf_pytorch_g61

A reproducting of the Neural Graph Collaborative Filtering algorithm in PyTorch

notes-for-stanford-cs224n-nlp-with-deep-learning

Notes for Stanford CS224N: Natural Language Processing with Deep Learning.

pandas-ai

Pandas AI is a Python library that integrates generative artificial intelligence capabilities into Pandas, making dataframes conversational

phobert-sentiment-classification

Sentiment classification for Vietnamese text using PhoBert