https://github.com/zacksff/every-days-read-papers
https://github.com/zacksff/every-days-read-papers
Last synced: about 2 months ago
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- Host: GitHub
- URL: https://github.com/zacksff/every-days-read-papers
- Owner: zacksfF
- Created: 2023-08-29T01:30:32.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-09-06T20:04:40.000Z (over 2 years ago)
- Last Synced: 2025-08-02T01:38:31.134Z (8 months ago)
- Size: 96.7 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
## IN this repository i will publish all my daily research papers reading 📖
The Concept of this repository its to know about new research paper but sometimes i publich some old papers from *2019/2020/2021/2022* but really it's woth to read and practices, Also now the new algorithms and new open sources.
Remember That **Artificial intelligence** it's very fast growing subjects .
## Tor Research Papers website
- [ARXIV](https://arxiv.org/) [ieeexplore](https://ieeexplore.ieee.org/Xplore/home.jsp)
- https://dl.acm.org/ [sciencedirect](https://www.sciencedirect.com/) [Nature](https://www.nature.com/srep/)
- (frontiersin)[https://www.frontiersin.org/] https://pubmed.ncbi.nlm.nih.gov/ https://scholar.google.com/
- (paperswithcode)[https://paperswithcode.com/] (I am a big fan of this webs)
etc
# **Let's Start**
- [Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis](https://arxiv.org/abs/1704.04086)
- [Pose Guided Person Image Generation](https://arxiv.org/abs/1705.09368)
- [Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks](https://arxiv.org/abs/1703.10593)
- [Towards ML Engineering: A Brief History Of TensorFlow Extended (TFX)](https://arxiv.org/ftp/arxiv/papers/2010/2010.02013.pdf)
- [RobustTrend: A Huber Loss with a Combined First and Second Order Difference Regularization for Time Series Trend Filtering](https://arxiv.org/abs/1906.03751)
- [Regression Discontinuity Designs in Economics](https://www.princeton.edu/~davidlee/wp/RDDEconomics.pdf)
- [Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead](https://arxiv.org/pdf/1811.10154.pdf)
- [Machine Learning and Econometrics](https://web.stanford.edu/class/ee380/Abstracts/140129-slides-Machine-Learning-and-Econometrics.pdf)
- [Nougat: Neural Optical Understanding for Academic Documents](https://arxiv.org/pdf/2308.13418v1.pdf)
- [Nougat: Neural Optical Understanding for Academic Documents](https://arxiv.org/pdf/2308.13418v1.pdf)
- [3D Gaussian Splatting for Real-Time Radiance Field Rendering](https://arxiv.org/pdf/2308.04079v1.pdf)