mnist1d
nn
mnist1d | nn | |
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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
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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.
nn
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Can't remember name of website that has explanations side-by-side with code
Hey are you talking about https://nn.labml.ai/ ?
- [D] Recent ML papers to implement from scratch
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[P] GPT-NeoX inference with LLM.int8() on 24GB GPU
Implementation & LM Eval Harness Results
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[P] Fine-tuned the GPT-Neox Model to Generate Quotes
Github: https://github.com/labmlai/annotated_deep_learning_paper_implementations/tree/master/labml_nn/neox
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Best resources to learn recent transformer papers and stay updated [D]
Regarding implementations this helps me: https://nn.labml.ai/
- Introductory papers to implement
- How to convert research papers to code?
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[D] How to convert papers to code?
Dunno if this is directly helpful, but this website has implementation with the math side by side https://nn.labml.ai/
- [D] Looking for open source projects to contribute
- Resource for papers explanation
What are some alternatives?
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