vinitra

evaluating-explainers

Comparing 5 different XAI techniques (LIME, PermSHAP, KernelSHAP, DiCE, CEM) through quantitative metrics. Published at EDM 2022.

ripple

Interpretability on raw time series with graph neural nets and concept activation vectors. Featured at AAAI 2023.

MultiModN

MultiModN – Multimodal, Multi-Task, Interpretable Modular Networks (NeurIPS 2023)

interpret-lm-knowledge

Extracting knowledge graphs from language models as a diagnostic benchmark of model performance (NeurIPS XAI 2021).

models

A collection of pre-trained, state-of-the-art models in the ONNX format

onnx

Open standard for machine learning interoperability

argmining20-social-bias-argumentation

Code for the paper "Argument from Old Man’s View: Assessing Social Bias in Argumentation".

CognitiveTutorPrediction

Bayesian Knowledge Tracing for Student Performance Prediction

entity-matcher

Identify which instances in a database represent the same real-world entity (entity resolution). SIGMOD 2021.

sklearn-onnx

Convert scikit-learn models and pipelines to ONNX

vinitra/entity-matcher

Identify which instances in a database represent the same real-world entity (entity resolution). SIGMOD 2021.

vinitra/CognitiveTutorPrediction

Bayesian Knowledge Tracing for Student Performance Prediction

vinitra/sklearn-onnx

Convert scikit-learn models and pipelines to ONNX

vinitra/argmining20-social-bias-argumentation

Code for the paper "Argument from Old Man’s View: Assessing Social Bias in Argumentation".

vinitra/datahub

JupyterHubs for use by Berkeley enrolled students

vinitra/epic-guide.github.io

Guidebook for IC PhD life at EPFL

vinitra/FERPlus

This is the FER+ new label annotations for the Emotion FER dataset.

vinitra/interpret-latent-music

Project for Computers and Music at EPFL, Spring 2022.

vinitra/keras-onnx

Convert tf.keras/Keras models to ONNX

vinitra/kubeflow

Machine Learning Toolkit for Kubernetes

vinitra/lstm

small experiment with LSTM prediction for arbitrary input length

vinitra/MachineLearningNotebooks

Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft

vinitra/models

A collection of pre-trained, state-of-the-art models in the ONNX format

vinitra/music-score-gen

vinitra/nbcheckcontent

Jupyter Extension to check the content of cells and provide real time feedback.

vinitra/neural-text-style-transfer

Style Transfer for non-parallel text

vinitra/onnx

Open standard for machine learning interoperability

vinitra/onnx-docker

Dockerfiles and scripts for ONNX container images

vinitra/onnx-feedstock

A conda-smithy repository for onnx.

vinitra/onnx-wids-tutorial

ONNX talk and workshop details for WIDS 2020.

vinitra/onnxconverter

Standalone conversion tool aimed at helping developers convert models to ONNX format

vinitra/onnxconverter-common

Common utilities for ONNX converters

vinitra/onnxmltools

ONNXMLTools enables conversion of models to ONNX

vinitra/onnxruntime

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

vinitra/reproduced-research-projects

A repository of reproduced research projects with patches and comments

vinitra/RNNModelingForEdu

Deep Knowledge Tracing - RNN modeling for ASSISTment data

vinitra/sigs

Repository for ONNX SIG artifacts

vinitra/vinitra.github.io

vinitra/watson-efficiency

Hackathon for IBM Research, 2017.

vinitra/word2vecSkills