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aa228-final-project

alphatools

Quantitative finance research tools in Python

apptoolkit-android-library

apptoolkit-desktop-example

apptoolkit-java-protocol

Mobile Team repo

apptoolkit-node-library

apptoolkit-swift-library

bagging_to_bert

bayesalpha

Bayesian models to compute performance and uncertainty of returns and alpha.

bayesbeta

An enthusiastic followup of bayesalpha

course-v3

The 3rd edition of course.fast.ai

cu-dl

cvxportfolio

Portfolio optimization and simulation in Python

doc-gpt

docker-python

Kaggle Python docker image

dockerfile-mode

An emacs mode for handling Dockerfiles

dotfiles

ds-tracking

fastai

The fastai deep learning library, plus lessons and and tutorials

fastai-dl-v3-nb

graph2tree

Code for Graph-to-Tree Learning for Solving Math Word Problems (ACL 2020)

group-lasso

Group Lasso implementation following the scikit-learn API

grouplasso

Group Lasso package for Python.

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.

ipython-sql

%%sql magic for IPython, hopefully evolving into full SQL client

jibo-sdk

jibo-teleop

A repository that contains messages for the Jibo robot, a teleop interface to manually send messages, and scripts for common teleop interactions

jupyterhub-pydata-2016

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kuma_utils

My toolbox for data analysis. :)