machine-learning-articles
awesome-adaptive-computation
machine-learning-articles | awesome-adaptive-computation | |
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5 | 1 | |
3,108 | 98 | |
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4.1 | 8.8 | |
about 2 months ago | 13 days ago | |
- | Apache License 2.0 |
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machine-learning-articles
- CNN binary classification validation accuracy reached %77, yet performing poorly on test set?
- Guide to creating a VAE?
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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
awesome-adaptive-computation
What are some alternatives?
iris - Transformers are Sample-Efficient World Models. ICLR 2023, notable top 5%.
CVPR2024-Papers-with-Code - CVPR 2024 ่ฎบๆๅๅผๆบ้กน็ฎๅ้
minGPT - A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
datasets - ๐ค The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
embedding-encoder - Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.
squirrel-core - A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way :chestnut:
pinferencia - Python + Inference - Model Deployment library in Python. Simplest model inference server ever.