ml-from-scratch
The goal of this repo is to implement ML Algorithms from scratch in Julia for better understanding.
TODO
- Extended Isolation Forest.
- Deep Learning framework.
- Gradient Boosting Tree.
- Transformer.
- Bayesian Optimization
- RNNPool in Julia.https://arxiv.org/abs/2002.11921.
- alpha-RNN https://arxiv.org/pdf/2004.04717.pdf
- Vision Transformer https://arxiv.org/pdf/2010.11929.pdf
- Graph Attention https://arxiv.org/abs/1710.10903
- Graph Transformers https://arxiv.org/abs/2009.03509
- DeepLift https://arxiv.org/pdf/1704.02685.pdf
- LIME https://arxiv.org/pdf/1602.04938.pdf