ML course - EPFL Machine Learning Course, Fall 2021

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Overview

EPFL Machine Learning Course CS-433

Machine Learning Course, Fall 2021

Repository for all lecture notes, labs and projects - resources, code templates and solutions. Videos available here on youtube.

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.

Owner
EPFL Machine Learning and Optimization Laboratory
EPFL Machine Learning and Optimization Laboratory
GitHub Repository https://www.epfl.ch/labs/mlo/machine-learning-cs-433/
Code for the paper "Multi-task problems are not multi-objective"

Multi-Task problems are not multi-objective This is the code for the paper "Multi-Task problems are not multi-objective" in which we show that the com

Michael Ruchte 5 Aug 19, 2022
A simple and lightweight genetic algorithm for optimization of any machine learning model

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MetaDrive: Composing Diverse Scenarios for Generalizable Reinforcement Learning

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[ICCV 2021] Target Adaptive Context Aggregation for Video Scene Graph Generation

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API for RL algorithm design & testing of BCA (Building Control Agent) HVAC on EnergyPlus building energy simulator by wrapping their EMS Python API

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Image restoration with neural networks but without learning.

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LAnguage Model Analysis

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This is an official source code for implementation on Extensive Deep Temporal Point Process

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Gesture recognition on Event Data

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Gated-Shape CNN for Semantic Segmentation (ICCV 2019)

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Extremely simple and fast extreme multi-class and multi-label classifiers.

napkinXC napkinXC is an extremely simple and fast library for extreme multi-class and multi-label classification, that focus of implementing various m

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Train SN-GAN with AdaBelief

SNGAN-AdaBelief Train a state-of-the-art spectral normalization GAN with AdaBelief https://github.com/juntang-zhuang/Adabelief-Optimizer Acknowledgeme

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[ICLR 2021, Spotlight] Large Scale Image Completion via Co-Modulated Generative Adversarial Networks

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Shengyu Zhao 373 Jan 02, 2023
Model Quantization Benchmark

Introduction MQBench is an open-source model quantization toolkit based on PyTorch fx. The envision of MQBench is to provide: SOTA Algorithms. With MQ

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Official implementation of Long-Short Transformer in PyTorch.

Long-Short Transformer (Transformer-LS) This repository hosts the code and models for the paper: Long-Short Transformer: Efficient Transformers for La

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Sarus implementation of classical ML models. The models are implemented using the Keras API of tensorflow 2. Vizualization are implemented and can be seen in tensorboard.

Sarus published models Sarus implementation of classical ML models. The models are implemented using the Keras API of tensorflow 2. Vizualization are

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Invert and perturb GAN images for test-time ensembling

GAN Ensembling Project Page | Paper | Bibtex Ensembling with Deep Generative Views. Lucy Chai, Jun-Yan Zhu, Eli Shechtman, Phillip Isola, Richard Zhan

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This code is part of the reproducibility package for the SANER 2022 paper "Generating Clarifying Questions for Query Refinement in Source Code Search".

Clarifying Questions for Query Refinement in Source Code Search This code is part of the reproducibility package for the SANER 2022 paper "Generating

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Collection of NLP model explanations and accompanying analysis tools

Thermostat is a large collection of NLP model explanations and accompanying analysis tools. Combines explainability methods from the captum library wi

126 Nov 22, 2022
Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection, AAAI 2021.

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