mnist1d
goodreads
| mnist1d | goodreads | |
|---|---|---|
| 1 | 3 | |
| 140 | 228 | |
| - | - | |
| 6.3 | 5.1 | |
| about 1 month ago | 11 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| Apache License 2.0 | Apache License 2.0 |
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mnist1d
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[Discussion] Educative dataset for students
My teacher gave us Mnist1d. It's synthetic, but allows for different approaches and demonstrations of different phenomena. Can even be used for introducing convolutional layers, albeit one-dimensional.
goodreads
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Goodreads book reviews dataset - 10 million books, 6 million reviews
This one only has 10k books and 6m ratings, if anyone need more, they could use UCSD Book Graph Goodreads dataset, it has:
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The Goodreads metadata collection (retired) and 51 million Amazon book reviews.
URL: https://sites.google.com/eng.ucsd.edu/ucsdbookgraph/home ; https://github.com/MengtingWan/goodreads
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Goodreads Plans To Retire Api Access Disables
A bigger one is here https://github.com/MengtingWan/goodreads
What are some alternatives?
nn - 🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
OpenFilter - This repository refers to the paper currently under review for the 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks, under the title "OpenFilter: A Framework to Democratize Research Access to Social Media AR Filters", by Piera Riccio, Bill Psomas, Francesco Galati, Francisco Escolano, Thomas Hofmann and Nuria Oliver.
rtdl-revisiting-models - (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data
ThoughtSource - A central, open resource for data and tools related to chain-of-thought reasoning in large language models. Developed @ Samwald research group: https://samwald.info/
datasets - 🎁 5,400,000+ Unsplash images made available for research and machine learning
RecSys_Course_AT_PoliMi - This is the official repository for the Recommender Systems course at Politecnico di Milano.
hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.