epfml/ML_course

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EPFL Machine Learning Course, Fall 2024

EPFL Machine Learning Course CS-433

Machine Learning Course, Fall 2022

Repository for all lecture notes, labs and projects - resources, code templates and solutions. Videos available here for 2022 lectures and for 2022 exercises, and here for 2021.

The course website and syllabus is available here: https://www.epfl.ch/labs/mlo/machine-learning-cs-433/

Contact us if you have any questions, via the discussion forum (password on moodle for EPFL students), or email to the assistants or teachers. Please create issues and pull requests here using the menu above.

sent2vec

General purpose unsupervised sentence representations

OptML_course

EPFL Course - Optimization for Machine Learning - CS-439

Jupyter Notebook

attention-cnn

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

landmark-attention

Landmark Attention: Random-Access Infinite Context Length for Transformers

federated-learning-public-code

disco

DISCO is a code-free and installation-free browser platform that allows any non-technical user to collaboratively train machine learning models without sharing any private data.

collaborative-attention

Code for Multi-Head Attention: Collaborate Instead of Concatenate

powersgd

Practical low-rank gradient compression for distributed optimization: https://arxiv.org/abs/1905.13727

dynamic-sparse-flash-attention

Jupyter Notebook

DenseFormer

llm-baselines

ChocoSGD

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

sparsifiedSGD

Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599

Jupyter Notebook

optML-pku

summer school materials

LocalSGD-Code

error-feedback-SGD

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

Jupyter Notebook

interpret-lm-knowledge

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

Jupyter Notebook

byzantine-robust-optimizer

Learning from history for Byzantine Robustness

Jupyter Notebook

Bi-Sent2Vec

Robust Cross-lingual Embeddings from Parallel Sentences

opt-summerschool

Short Course on Optimization for Machine Learning - Slides and Practical Labs - DS3 Data Science Summer School, June 24 to 28, 2019, Paris, France

Jupyter Notebook

cola

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

opt-shortcourse

Short Course on Optimization for Machine Learning - Slides and Practical Lab - Pre-doc Summer School on Learning Systems, July 3 to 7, 2017, Zürich, Switzerland

Jupyter Notebook

powergossip

Code for "Practical Low-Rank Communication Compression in Decentralized Deep Learning"

byzantine-robust-noniid-optimizer

X2Static

X2Static embeddings

kubernetes-setup

MLO group setup for kubernetes cluster

topology-in-decentralized-learning

Code related to ’Beyond spectral gap: The role of the topology in decentralized learning‘.

quasi-global-momentum

relaysgd

Code for the paper “RelaySum for Decentralized Deep Learning on Heterogeneous Data”

Jupyter Notebook

piecewise-affine-multiplication

rotational-optimizers

byzantine-robust-decentralized-optimizer

Jupyter Notebook

uncertainity-estimation

Code for the paper “The Peril of Popular Deep Learning Uncertainty Estimation Methods”

Jupyter Notebook

getting-started

text_to_image_generation

easy-summary

difficulty-guided text summarization

FeAI

Federated Learning with TensorFlow.js

ghost-noise

autoTrain

Open Challenge - Automatic Training for Deep Learning

pax

JAX-like API for PyTorch

personalized-collaborative-llms

phantomedicus

MedSurge: medical survey generator

Jupyter Notebook