Antoine Guillot's starred repositories

state-spaces

Sequence Modeling with Structured State Spaces

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tensorflow

TensorFlow for R

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shinyWidgets

shinyWidgets : Extend widgets available in shiny

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jupyter-tabnine

Autocompletion with Deep Learning on Jupyter Notebook

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shinyjs

💡 Easily improve the user experience of your Shiny apps in seconds

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deep-learning-uncertainty

Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

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torchprofile

A general and accurate MACs / FLOPs profiler for PyTorch models

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circosJS

d3 library to build circular graphs

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shiny.semantic

Shiny support for powerful Fomantic UI library.

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JEM

Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"

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AdvancedML

Reading list for the Advanced Machine Learning Course

haq

[CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision

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shinyjqui

jQuery UI Interactions and Effects for Shiny

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confidence_estimation

Learning Confidence for Out-of-Distribution Detection in Neural Networks

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billboarder

:bar_chart: R Htmlwidget for billboard.js

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INQ-pytorch

A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"

focal_calibration

Code for the paper "Calibrating Deep Neural Networks using Focal Loss"

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L_DMI

Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"

meteonet

MeteoNet's toolbox and documentation

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bubble-treemaps

Implementation of Bubble Treemaps for Uncertainty Visualization.

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benderopt

Black-box optimization library

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implicit_alignment

Code for ICML2020 "Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation"

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dreem-learning-open

Benchmark code for the paper: "Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging"

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dosed

Dreem One Shot Detector

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D3partitionR

R package to visualise interactively hierarchical data.

dreem-learning-evaluation

Code to reproduce results from the paper "Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging"

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RobustSleepNet

Transfer learning for sleep stage detection

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D3partitionR

:exclamation: This is a read-only mirror of the CRAN R package repository. D3partitionR — Interactive Charts of Nested and Hierarchical Data with 'D3.js'

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keras-skip-though-vector

a implementation of skip thought vectors

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