Alessio Quercia (AlessioQuercia)

AlessioQuercia

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Location:Germany

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Alessio Quercia's starred repositories

awesome-public-datasets

A topic-centric list of HQ open datasets.

Open-Assistant

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

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DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

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Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

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diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

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codimd

CodiMD - Realtime collaborative markdown notes on all platforms.

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ML-Course-Notes

🎓 Sharing machine learning course / lecture notes.

SupContrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

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line_profiler

Line-by-line profiling for Python

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releasing-research-code

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

GitHub-userscripts

Userscripts to add functionality to GitHub

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involution

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

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lovely-tensors

Tensors, for human consumption

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focal_loss_pytorch

A PyTorch Implementation of Focal Loss.

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class-balanced-loss

Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019

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genv

GPU environment and cluster management with LLM support

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pytorch-classification-uncertainty

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

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deepproblog

DeepProbLog is an extension of ProbLog that integrates Probabilistic Logic Programming with deep learning by introducing the neural predicate.

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focal_calibration

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

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powersgd

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

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entropy-sgd

Lua implementation of Entropy-SGD

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sgd-influence

Python codes for influential instance estimation

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lnl_sr

Learning with Noisy Labels via Sparse Regularization, ICCV2021

error-feedback-SGD

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

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DIHCL

Curriculum Learning by Dynamic Instance Hardness (NeurIPS 2020)

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