dl-visuals
Over 200 figures and diagrams of the most popular deep learning architectures and layers FREE TO USE in your blog posts, slides, presentations, or papers. (by dvgodoy)
machine-learning-articles
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com. (by christianversloot)
| dl-visuals | machine-learning-articles | |
|---|---|---|
| 4 | 5 | |
| 1,330 | 3,129 | |
| - | - | |
| 0.0 | 4.1 | |
| almost 3 years ago | about 2 months ago | |
| Creative Commons Attribution 4.0 | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
dl-visuals
Posts with mentions or reviews of dl-visuals.
We have used some of these posts to build our list of alternatives
and similar projects.
machine-learning-articles
Posts with mentions or reviews of machine-learning-articles.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-06.
- CNN binary classification validation accuracy reached %77, yet performing poorly on test set?
- Guide to creating a VAE?
-
Minimal PyTorch re-implementation of GPT
For anyone else who was new to the phrase "isotropic model":
https://github.com/christianversloot/machine-learning-articl...
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CNN Multiclass classification - What happens if in the last layer you use more units than classes?
Of course! I read the documentation and also usage examples and it seems like it should be used with softmax, receiving the class prediction
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How Vanishing/Exploding Gradient is solved by doing proper Weight Initialization?
Xavier initialization (tanh): https://cs230.stanford.edu/section/4/ He initialization (ReLU): https://github.com/christianversloot/machine-learning-articles/blob/main/he-xavier-initialization-activation-functions-choose-wisely.md
What are some alternatives?
When comparing dl-visuals and machine-learning-articles you can also consider the following projects:
every-programmer-should-know - A collection of (mostly) technical things every software developer should know about
iris - Transformers are Sample-Efficient World Models. ICLR 2023, notable top 5%.
VoxelAssets - CC0 or CC-BY voxel-related assets
minGPT - A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
embedding-encoder - Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.
awesome-adaptive-computation - A curated reading list of research in Adaptive Computation, Dynamic Compute & Mixture of Experts (MoE).