csinva/cookiecutter-ml-research

Stars
8
Rank 2,099,232 (Top 42 %)
Language
Jupyter Notebook
License
MIT License
Created almost 2 years ago
Updated about 1 year ago

csinva/cookiecutter-ml-research

csinva

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

A logical, reasonably standardized, but flexible project structure for conducting ml research.

imodels

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Jupyter Notebook

csinva.github.io

Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.

imodelsX

Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large language models.

gan-vae-pretrained-pytorch

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

Jupyter Notebook

gpt-paper-title-generator

Generating paper titles (and more!) with GPT trained on data scraped from arXiv.

Jupyter Notebook

hierarchical-dnn-interpretations

Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)

Jupyter Notebook

iprompt

Finding semantically meaningful and accurate prompts.

Jupyter Notebook

tree-prompt

Tree prompting: easy-to-use scikit-learn interface for improved prompting.

Jupyter Notebook

disentangled-attribution-curves

Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"

matching-with-gans

Matching in GAN latent space for better bias benchmarking and semantic image editing. 👶🏻🧒🏾👩🏼‍🦰👱🏽‍♂️👴🏾

Jupyter Notebook

data-viz-utils

Functions for easily making publication-quality figures with matplotlib.

Jupyter Notebook

mdl-complexity

MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".

Jupyter Notebook

interpretable-embeddings

Interpretable text embeddings by asking LLMs yes/no questions

transformation-importance

Using / reproducing TRIM from the paper "Transformation Importance with Applications to Cosmology" 🌌 (ICLR Workshop 2020)

Jupyter Notebook

iai-clinical-decision-rule

Interpretable clinical decision rules for predicting intra-abdominal injury.

Jupyter Notebook

glaucoma-diagnosis

Code for diagnosing glaucoma from Lumos lens

clinical-rule-analysis

Analyzing clinical decision instruments through the lens of data and large language models.

Jupyter Notebook

tree-prompt-experiments

Create a tree of prompts during training that improves efficiency and accuracy.

Jupyter Notebook

dnn-ensemble

Testing the properties of ensembled neural networks.

Jupyter Notebook

news-balancer

News Balancer takes a story and provides articles on that story with credibility and varying political bias. The homepage will randomly generate a story from its archives, but a user can type in a query to get stories relating to their query along with their credibility / political bias.

tpr-fmri

abide-multitask-learning

Multi-task learning of functional connectivity on the ABIDE dataset.

Jupyter Notebook

local-vae

Making locally disentangled vaes.

Jupyter Notebook

neural-spike-sorting

Experimental code for performing spike sorting using a neural network.

Jupyter Notebook

trees-to-networks

Bridging random forests and deep neural networks. Partial implementation of "Neural Random Forests" https://arxiv.org/abs/1604.07143

Jupyter Notebook

acronym-generator

Generator acronyms given a sequence of words (useful for making paper titles).

imodels-playground

Demos for visualizing how rule-based models work.

max-activation-interpretation-pytorch

Code for creating maximal activation images (like Deep Dream) in pytorch with various regularizations / losses.

Jupyter Notebook

hummingbird-tracking

Code for tracking various things in hummingbird video

neuronforest-analysis-scripts

Python scripts to replace Matlab for evaluation of error in connectome images and affinity graphs.

pyfim-clone

Clone of pyfim making it installable as a dependency. Copied from http://www.borgelt.net/pyfim.html

scattering-transform-experiments

Repository for experiments with scattering transforms

Jupyter Notebook

imodels-data

Preprocessed data for various popular tabular datasets to go along with imodels.

Jupyter Notebook

mouse-brain-decoding

Decoding images from calcium recordings using data from stringer et al. 2018.

Jupyter Notebook

stable-interpretation

Exploring ways to extract stable interpretations from neural networks.

Jupyter Notebook

dnn-experiments

A set of scripts and experiments making it easier to analyze deep learning empirically.

Jupyter Notebook

arxiv-copier

Extension for copying the title + url of an arXiv page via right click

news-title-bias

Scraping and analyzing political bias in news titles using data from allsides.com

axon-ap-propagation

Code for simulations of action potential propagation

younet

Learning natural language models based on personalized messages.

mini-games

Code for simple games made in java + google sheets.

global-sports-analysis

Analyzing how different factors influence global sports rankings

pybaobab-fork

Fork of pybaobabdt adding more customization.

Jupyter Notebook