deepsvg
nn
| deepsvg | nn | |
|---|---|---|
| 2 | 26 | |
| 885 | 48,709 | |
| - | 5.1% | |
| 4.0 | 7.7 | |
| 14 days ago | about 2 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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deepsvg
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[D] MNIST-like dataset in SVG format
I'd like to start experimenting with image classification in SVG format. I've found the deepsvg library that seems to have a solid basis on how to handle SVG files. Unfortunately it doesn't seem there's a large body of resesarch in the area and I am struggling to find a MNIST-like datset in SVG format.
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if Midjourney could "write" I would pay 100 dollar subscription. I mean look at these logos, and they aren't even the best one so far, just what I tried out yesterday. When the words would be what you wanted it would have such a big value.
Cursory google search: https://github.com/alexandre01/deepsvg
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?
TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0
GFPGAN-for-Video-SR - A colab notebook for video super resolution using GFPGAN
vtracer - Raster to Vector Graphics Converter
labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
lovely-tensors - Tensors, ready for human consumption
functorch - functorch is JAX-like composable function transforms for PyTorch.
diffae - Official implementation of Diffusion Autoencoders
ZoeDepth - Metric depth estimation from a single image
strv-ml-mask2face - Virtually remove a face mask to see what a person looks like underneath
onnx-simplifier - Simplify your onnx model
fastai - The fastai deep learning library
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.