ast
CodeSearchNet
ast | CodeSearchNet | |
---|---|---|
1 | 2 | |
1,017 | 1,904 | |
- | - | |
2.3 | 0.0 | |
12 months ago | over 2 years ago | |
Jupyter Notebook | Jupyter Notebook | |
BSD 3-clause "New" or "Revised" License | MIT License |
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.
ast
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Increasing Model Dimensionality
Unless this is purely an educational exercise, just finetune an imagenet model, or better yet a model trained on spectrograms (cochleagrams if you can find one).
CodeSearchNet
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Fine tuning
The CodeSearchNet challenge provides a dataset of code documentation comments, along with pre-trained models and fine-tuning scripts. You can find the challenge and resources at https://github.com/github/CodeSearchNet.
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Speedtyper.dev: Type racing for programmers
https://github.com/github/CodeSearchNet#downloading-data-from-s3
What are some alternatives?
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pycaret - An open-source, low-code machine learning library in Python
pytorch-GAT - My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
trulens - Evaluation and Tracking for LLM Experiments
SimpNet-Deep-Learning-in-a-Shader - A trainable convolutional neural network inside a fragment shader
MetalTranslate - Customizable machine translation in C++