Riccardo Cadei (riccardocadei)

riccardocadei

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Company:Institute of Science and Technology Austria

Location:Vienna

Home Page:https://www.riccardocadei.com/

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Riccardo Cadei's starred repositories

coding-interview-university

A complete computer science study plan to become a software engineer.

License:CC-BY-SA-4.0Stargazers:289781Issues:0Issues:0

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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giskard

🐢 Open-Source Evaluation & Testing framework for LLMs and ML models

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Causal-Inference-Project

Project for Causal Inference course at EPFL

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NetworkCausalTree

Package for heterogeneous treatment and spillover effects under network interference

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joss-reviews

Reviews for the Journal of Open Source Software

License:CC0-1.0Stargazers:690Issues:0Issues:0

CRE

The Causal Rule Ensemble Method

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CausalGPS

Matching on generalized propensity scores with continuous exposures

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sharp

R package sharp (Stability-enHanced Approaches using Resampling Procedures).

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cookiecutter-pypackage

Cookiecutter template for a Python package.

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diffusionbee-stable-diffusion-ui

Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.

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CRE

The Causal Rule Ensemble Method

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CRE

The Causal Rule Ensemble Method

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SB-SSL

Code repository for the paper https://openaccess.thecvf.com/content/CVPR2022/papers/Sirotkin_A_Study_on_the_Distribution_of_Social_Biases_in_Self-Supervised_CVPR_2022_paper.pdf @ CVPR-2022

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Awesome-Novel-Class-Discovery

A list of papers that studies Novel Class Discovery

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dytox

Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022

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causalmotion

[CVPR22] Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective

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ConvNeXt

Code release for ConvNeXt model

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reionisation_ML

Neural Networks to estimate the ionisation rate in the Epoch of Reionisation

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Robust-Journey-Planning

Robust and Efficient Journey Planning for Switzerland - @ EPFL

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OptML_course

EPFL Course - Optimization for Machine Learning - CS-439

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adahessian

Discussion of advantages and disadvantages of AdaHessian, a state-of-the-art Second Order Methods over First Order Methods on a Non-Convex Optimization Problem (digits classification on MNIST database using ResNet18). - @ EPFL

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dedeswim.github.io

My personal website, hosted on GitHub Pages, built with Hugo

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deeplearning-framework

Mini Deep Learning framework to create and train simple Neural Network (i.e. Multi Layer Perceptron) through Back-Propagation Algorithm using only PyTorch's tensor definition and elementary mathematical operations.

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pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

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nlp-datasets

Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)

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photovoltaic-detection

Detecting available rooftop area from satellite images to install photovoltaic panels - LESO-PB Lab @ EPFL

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aml-lecture-notes

Advanced Machine Learning course at ETH Zürich Fall 2020

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