Hacker News
- Papers with Code https://paperswithcode.com/ 41 comments
- Papers with Code https://paperswithcode.com/ 20 comments
- Code and Write https://paperswithcode.com/ 3 comments
- Show HN: Papers with Code – trending ML research with available code https://paperswithcode.com 4 comments
- How to write better Machine Learning code? https://paperswithcode.com/ 4 comments learnmachinelearning
- This website looks like a good source for keeping up on the latest ML research https://paperswithcode.com/ 22 comments datascience
- How are you searching for the "state of the art" for specific tasks? (medical image segmentation) https://paperswithcode.com/ 5 comments computervision
- Scikit-image tutorial nearly done. What's next? https://paperswithcode.com 7 comments learnmachinelearning
- Research Papers with Code for Artificial Intelligence, Deep learning, Machine Learning, and Neural Networks https://paperswithcode.com/ 12 comments datascience
Linking pages
- Mea culpa: How developers fix their own simple bugs differently from other developers · It Will Never Work in Theory https://neverworkintheory.org/2021/08/10/developers-fix-their-own-simple-bugs-differently-from-other-developers.html 89 comments
- A Cartel of Influential Datasets Is Dominating Machine Learning Research, New Study Suggests - Unite.AI https://www.unite.ai/a-cartel-of-influential-datasets-are-dominating-machine-learning-research-new-study-suggests/ 85 comments
- GitHub - dive-into-machine-learning/dive-into-machine-learning: Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.) https://github.com/hangtwenty/dive-into-machine-learning 39 comments
- So, You Recommended a Python Time-Series Package … Now What? | by Microprediction | Geek Culture | Mar, 2023 | Medium https://microprediction.medium.com/so-you-recommended-a-python-time-series-package-now-what-94e7e3821ad5 33 comments
- 2022 Top Papers in AI — A Year of Generative Models | Medium https://chuanenlin.medium.com/2022-top-ai-papers-a-year-of-generative-models-a7dcd9109e39 26 comments
- Keeping Up With AI Research And News https://sebastianraschka.com/blog/2023/keeping-up-with-ai.html 22 comments
- The Economics of Artificial Intelligence Today https://thegradient.pub/the-economics-of-ai-today/ 19 comments
- 100+ Best Machine Learning Blogs For Beginners https://www.theinsaneapp.com/2021/04/top-machine-learning-blogs-to-follow-in-2021.html 13 comments
- Towards Reproducible Research with PyTorch Hub | PyTorch https://pytorch.org/blog/towards-reproducible-research-with-pytorch-hub/ 4 comments
- Takeaways From 3 Years Working In Machine Learning https://www.epistem.ink/p/takeaways-from-3-years-working-in?s=w 3 comments
- GitHub - BAILOOL/DoYouEvenLearn: Essential Guide to keep up with AI/ML/DL/CV https://github.com/BAILOOL/DoYouEvenLearn 2 comments
- The Best AI Newsletters. One PhD student’s curated list of 21… | by Andrey Kurenkov | Medium https://medium.com/@andreykurenkov/the-best-ai-newsletters-483dc75134b 1 comment
- GitHub - lsgrep/mldocs: Alfred Workflow for TensorFlow, PyTorch, Scikit-learn, NumPy, Pandas, Matplotlib, Statsmodels, Jax, RLLib API Docs https://github.com/lsgrep/mldocs 1 comment
- awesome-marketing-datascience/awesome-ai.md at master · underlines/awesome-marketing-datascience · GitHub https://github.com/underlines/awesome-marketing-datascience/blob/master/awesome-ai.md 1 comment
- GitHub - FrancescoSaverioZuppichini/LinkedInGPT: Skynet https://github.com/FrancescoSaverioZuppichini/LinkedInGPT 1 comment
- Tech Interviews: process, preparation and hacks | Nisarg’s Notes https://snisarg.github.io/blog/2021/08/07/tech-interview-prep.html 0 comments
- Recommendations for Engineers - Pawel Cislo https://pawelcislo.com/recommendations/ 0 comments
- GitHub - vyraun/Megalodon: Various ML/DL Resources organised at a single place. https://github.com/vyraun/Megalodon 0 comments
- Maithra Raghu | Reflections on my (Machine Learning) PhD Journey https://maithraraghu.com/blog/2020/Reflections_on_my_Machine_Learning_PhD_Journey/ 0 comments
- GitHub - ml-tooling/best-of-ml-python: 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly. https://github.com/ml-tooling/best-of-ml-python 0 comments
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