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academic-prof

alibi

Algorithms for explaining machine learning models

antibioticsai

Supporting code for the paper "Discovery of a structural class of antibiotics with explainable deep learning"

awesome-ml-demos

Curated list of interactive ML demos

bcs-mit-computational-tutorial

chameleon-llm

Codes for "Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models".

collage-from-spotify-playlist-artwork

create your own collage from your spotify playlist artwork in Python

computer-networks

costilla

cuda-project

digital-communications

digital-signal-processing

dpnewstudents

This repository has the notebooks for new students to learn about pandas, the student life dataset, and machine learning

eagle-pcb-design

eli5

A library for debugging/inspecting machine learning classifiers and explaining their predictions

eureka

Official Repository for "Eureka: Human-Level Reward Design via Coding Large Language Models"

fairlearn

A Python package to assess and improve fairness of machine learning models.

funsearch

gfn-lm-tuning

go

The Open Source Data Science Masters

gpt3-sandbox

The goal of this project is to enable users to create cool web demos using the newly released OpenAI GPT-3 API with just a few lines of Python.

guidance

A guidance language for controlling large language models.

hfppl

Probabilistic programming with HuggingFace language models

humanlike_fewshot_learning

intermediatepython

kaggle-dsb2-keras

Keras tutorial for Kaggle 2nd Annual Data Science Bowl

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

latex2e

The LaTeX2e kernel

lever

Code for paper "LEVER: Learning to Verifiy Language-to-Code Generation with Execution" (ICML'23)

lime

Lime: Explaining the predictions of any machine learning classifier