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EPFL Machine Learning and Optimization Laboratory's Projects

attention-cnn icon attention-cnn

Source code for "On the Relationship between Self-Attention and Convolutional Layers"

autotrain icon autotrain

Open Challenge - Automatic Training for Deep Learning

bi-sent2vec icon bi-sent2vec

Robust Cross-lingual Embeddings from Parallel Sentences

chocosgd icon chocosgd

Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356

cifar icon cifar

MLO internal cifar 10 / 100 default implementation / reference implementation. single machine, variable batch sizes, allowing maybe gradient compression. need to have clear documentation to make it easy to use, and so that we don't loose time with looking for hyperparameters. we can later keep it in sync with mlbench too, but self-contained is even better

cola icon cola

CoLa - Decentralized Linear Learning: https://arxiv.org/abs/1808.04883

continuityplan icon continuityplan

Continuity Plan in accordance with https://www.epfl.ch/campus/security-safety/en/health/coronavirus-covid19/

correlating-tweets icon correlating-tweets

Correlating Twitter Language with Community-Level Health Outcomes: https://arxiv.org/abs/1906.06465

disco icon disco

Decentralized & federated privacy-preserving ML training, using p2p networking, in JS

doge icon doge

Codebase for ICML submission "DOGE: Domain Reweighting with Generalization Estimation"

epfml-utils icon epfml-utils

Tools for experimentation and using run:ai. The aim is for these to be small self-contained utilities that are used by multiple people.

error-feedback-sgd icon error-feedback-sgd

SGD with compressed gradients and error-feedback: https://arxiv.org/abs/1901.09847

feai icon feai

Federated Learning with TensorFlow.js

interpret-lm-knowledge icon interpret-lm-knowledge

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

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