mnist1d VS nn

Compare mnist1d vs nn and see what are their differences.

mnist1d

A 1D analogue of the MNIST dataset for measuring spatial biases and answering Science of Deep Learning questions. (by greydanus)
neural-networks Machine Learning convnet Pytorch Dataset Research
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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, ... 🧠 (by lab-ml)
Deep Learning deep-learning-tutorial Pytorch Gan Transformers reinforcement-learning Optimizers neural-networks Transformer Machine Learning attention literate-programming
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nn.labml.ai
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mnist1d nn
1 26
140 48,430
- 4.5%
6.3 7.7
about 1 month ago about 1 month ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 MIT License
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mnist1d

Posts with mentions or reviews of mnist1d. We have used some of these posts to build our list of alternatives and similar projects.

nn

Posts with mentions or reviews of nn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-09.

What are some alternatives?

When comparing mnist1d and nn you can also consider the following projects:

rtdl-revisiting-models - (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data

GFPGAN-for-Video-SR - A colab notebook for video super resolution using GFPGAN

datasets - 🎁 5,400,000+ Unsplash images made available for research and machine learning

labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

goodreads - code samples for the goodreads datasets

functorch - functorch is JAX-like composable function transforms for PyTorch.

hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

ZoeDepth - Metric depth estimation from a single image

onnx-simplifier - Simplify your onnx model

Basic-UI-for-GPT-J-6B-with-low-vram - A repository to run gpt-j-6b on low vram machines (4.2 gb minimum vram for 2000 token context, 3.5 gb for 1000 token context). Model loading takes 12gb free ram.

Behavior-Sequence-Transformer-Pytorch - This is a pytorch implementation for the BST model from Alibaba https://arxiv.org/pdf/1905.06874.pdf

DFL-Colab - DeepFaceLab fork which provides IPython Notebook to use DFL with Google Colab

mnist1d vs rtdl-revisiting-models nn vs GFPGAN-for-Video-SR mnist1d vs datasets nn vs labml mnist1d vs goodreads nn vs functorch mnist1d vs hyperlearn nn vs ZoeDepth nn vs onnx-simplifier nn vs Basic-UI-for-GPT-J-6B-with-low-vram nn vs Behavior-Sequence-Transformer-Pytorch nn vs DFL-Colab