Developing a light weight framework for implementing popular neural network methods such as CNNs, MLPs, etc. This repository will contain the framework and its tests as well as example implementation of each method in Pytorh and XMicrograd
Extending the Micrograd Framwork developed by Andrej Kaparthy. will be used to run standard ML methods such as MLPs, LSTM, RNN, CNN and Transformers
Developing a light weight framework for implementing popular neural network methods such as CNNs, MLPs, etc. This repository will contain the framework and its tests as well as example implementation of each method in Pytorh and XMicrograd
Extending the Micrograd Framwork developed by Andrej Kaparthy. will be used to run standard ML methods such as MLPs, LSTM, RNN, CNN and Transformers
MIT License