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Extending the Micrograd Framwork developed by Andrej Kaparthy. will be used to run standard ML methods such as MLPs, LSTM, RNN, CNN and Transformers

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henrii1/Extended-Mircograd-Framework

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.devcontainer
 
 
LLMs
LLMs
 
 
Micrograd_example
Micrograd_example
 
 
micrograd
micrograd
 
 
pytorch_base_examples
pytorch_base_examples
 
 
pytorch_modular_examples
pytorch_modular_examples
 
 
test
test
 
 
.gitignore
.gitignore
 
 
LICENSE
LICENSE
 
 
Makefile
Makefile
 
 
README.md
README.md
 
 
poetry.lock
poetry.lock
 
 
pyproject.toml
pyproject.toml
 
 

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Extended Micorgrad Framework for Implementing NN (XMicrograd.

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

NB: This will come in later. for now I'd focus on building these architectures up till GNNs with the basic module (torch) without torch.nn.

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Extending the Micrograd Framwork developed by Andrej Kaparthy. will be used to run standard ML methods such as MLPs, LSTM, RNN, CNN and Transformers

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nlp transformers cnn lstm rnn mlp mircograd

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