Jonathan Larkin's repositories
alphatools
Quantitative finance research tools in Python
machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
privateGPT
Interact privately with your documents using the power of GPT, 100% privately, no data leaks
pymc-resources
PyMC educational resources
stat_rethinking_2022
Statistical Rethinking course winter 2022
docker-python
Kaggle Python docker image
Graph2Tree
Code for Graph-to-Tree Learning for Solving Math Word Problems (ACL 2020)
Image-Caption-Generation-using-Fastai
Implemented image caption generation method propossed in Show, Attend, and Tell paper using the Fastai framework to describe the content of images. Achieved 24 BLEU score for Beam search size of 5. Designed a Web application for model deployment using the Flask framework.
kuma_utils
My toolbox for data analysis. :)
min_double_descent
A minimal example of double descent
pystan-jupyter
Enable PyStan(3+) use on Jupyter Notebook/Lab
research_public
Quantitative research and educational materials
RWKV-LM
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
stat_rethinking_2023
Statistical Rethinking Course for Jan-Mar 2023