vinitra
PhD student at EPFL (@epfl-ml4ed, @epfml). Formerly @vinitra-zz, alum at Microsoft AI @onnx and UC Berkeley @data-8.
vinitra's Stars
epfl-ml4ed/interpretable-clustering
Explainable clustering method used to extract interpretable student profiles. Featured at AIED 2024.
epfml/llm-baselines
epfl-ml4ed/interpretcc
InterpretCC, an inherently interpretable neural network architecture
epfLLM/meditron
Meditron is a suite of open-source medical Large Language Models (LLMs).
EPFLiGHT/MultiModN
MultiModN – Multimodal, Multi-Task, Interpretable Modular Networks (NeurIPS 2023)
epfml/landmark-attention
Landmark Attention: Random-Access Infinite Context Length for Transformers
epfl-ml4ed/trusting-explainers
Validating post-hoc explainers with learning science experts (LAK 2023).
epfl-ml4ed/ripple
Interpretability on raw time series with graph neural nets and concept activation vectors. Featured at AAAI 2023.
epfl-ml4ed/bias-at-a-second-glance
Bias analysis of german language models (BERT, T5, GPT2), with a case study on educational peer review data.
epfl-ml4ed/flipped-classroom
Success prediction in flipped classrooms via clickstreams. Published at EDM 2021.
epfl-ml4ed/evolutionary-srl-clustering
Code for the paper "Evolutionary Clustering of Apprentices' Behavior in Online Learning Journals for Vocational Education" published at SFUVET 2022.
epfl-ml4ed/evaluating-explainers
Comparing 5 different XAI techniques (LIME, PermSHAP, KernelSHAP, DiCE, CEM) through quantitative metrics. Published at EDM 2022.
midi-ld/midi2vec
MIDI2vec computes embeddings for representing MIDI data in vector space
onnx/models
A collection of pre-trained, state-of-the-art models in the ONNX format
udaykusupati/Normal-Assisted-Stereo
[CVPR 2020] Normal Assisted Stereo Depth Estimation
epfl-ml4ed/meta-transfer-learning
Models to warm-start student pass/fail performance prediction trained using meta-transfer learning on 26 courses, 100k students, and millions of interactions. Published at L@S 2022.
epfl-ml4ed/mlbd-2022
Lab Materials for the EPFL Course on Machine Learning for Behavioral Data CS-421, Spring 2022.
awesome-mlss/awesome-mlss
🤖 Machine Learning Summer School deadlines
EPIC-guide/epic-guide.github.io
Guidebook for IC PhD life at EPFL
Azure/MachineLearningNotebooks
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
vinitra/entity-matcher
Identify which instances in a database represent the same real-world entity (entity resolution). SIGMOD 2021.
vinitra-zz/neural-text-style-transfer
Style Transfer for non-parallel text
epfml/interpret-lm-knowledge
Extracting knowledge graphs from language models as a diagnostic benchmark of model performance (NeurIPS XAI 2021).
google-deepmind/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
epfml/powersgd
Practical low-rank gradient compression for distributed optimization: https://arxiv.org/abs/1905.13727