Choice-Learn — Peer-reviewed • Rank 12.0 • Science 98%

Choice-Learn: Large-scale choice modeling for operational contexts through the lens of machine learning - Published in JOSS (2024)

modelStudio — Peer-reviewed • Rank 13.5 • Science 95%

modelStudio: Interactive Studio with Explanations for ML Predictive Models - Published in JOSS (2019)

cvnn • Rank 11.7 • Science 77%

Library to help implement a complex-valued neural network (cvnn) using tensorflow as back-end

@stdlib/ml-incr-kmeans • Rank 5.5 • Science 67%

Incrementally partition data into `k` clusters.

neptune-client • Rank 24.0 • Science 44%

📘 The experiment tracker for foundation model training

knn-transformers • Rank 5.6 • Science 62%

PyTorch + HuggingFace code for RetoMaton: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022), including an implementation of kNN-LM and kNN-MT

cvplot • Rank 4.4 • Science 57%

Understand machine learning models with Contribution-Value plots

reproducible-ml-workflows • Rank 3.3 • Science 54%

Reproducible Machine Learning Workflows for Scientists

@stdlib/ml • Rank 8.1 • Science 44%

Standard library machine learning algorithms.

matcalc • Rank 16.0 • Science 36%

A python library for calculating materials properties from the PES

topicwizard • Rank 6.5 • Science 44%

Powerful topic model visualization in Python

@stdlib/ml-incr • Rank 3.6 • Science 44%

Standard library incremental machine learning algorithms.

https://github.com/google-deepmind/nuclease_design • Rank 6.0 • Science 39%

ML-guided enzyme engineering

CalibrationAnalysis • Rank 2.3 • Science 31%

Multi-language suite for analyzing calibration of probabilistic predictive models.

https://github.com/dimits-ts/disruptive-science-study • Rank 0.0 • Science 10%

Predicting the impact of scientific papers using traditional machine learning models and NLP

feddebug • Science 54%

FedDebug is a novel testing and debugging technique that localizes faulty clients in Federated Learning.

doomarena • Science 36%

DoomArena is a Framework for Testing AI Agents Against Evolving Security Threats

abhayk1201.github.io • Science 18%

Personal homepage: http://pages.cs.wisc.edu/~abhayk/ OR

2023-10-10-fnrc-deepnex • Science 18%

This is the website of Medical-AI workshop entitled as "DataMedic"

learning-of-symbolic-representations-for-rescue-scenarios-in-disaster-zones • Science 44%

This repository contains the code and resources for my Bachelor's Thesis

machine-learning-neural-python • Science 44%

Introduction to artificial neural nets with Python

https://github.com/big-data-lab-team/accident-prediction-montreal • Science 10%