sushant097/Deep-Learning-Papers-Reading
30 Days GANs Paper Reading
This project helps deep learning researchers and practitioners understand foundational and advanced Generative Adversarial Networks (GANs) by providing clear, annotated summaries of research papers. It takes complex academic papers as input and delivers simplified explanations along with practical code implementations. This is ideal for deep learning engineers, machine learning scientists, or AI researchers looking to grasp the core concepts and build upon existing GAN architectures.
No commits in the last 6 months.
Use this if you are a deep learning practitioner who wants to quickly understand the nuances of various GAN models and see their core concepts implemented in code.
Not ideal if you are looking for a plug-and-play solution or an out-of-the-box application, as this project focuses on foundational learning and scratch implementations.
Stars
44
Forks
3
Language
—
License
—
Category
Last pushed
Mar 07, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/sushant097/Deep-Learning-Papers-Reading"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Vincentqyw/cv-arxiv-daily
🎓Automatically Update CV Papers Daily using Github Actions
gopala-kr/summary
summaries of all the papers I read
HFTrader/awesome-free-deep-learning-papers
Free deep learning papers
AakashKumarNain/annotated_research_papers
This repo contains annotated research papers that I found really good and useful
tirthajyoti/Papers-Literature-ML-DL-RL-AI
Highly cited and useful papers related to machine learning, deep learning, AI, game theory,...