Emanuel Sanchez Aimar (emasa)

emasa

Geek Repo

Company:Linköping University

Location:Linköping, Sweden

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Emanuel Sanchez Aimar's repositories

BalPoE-CalibratedLT

This repository is the official Pytorch implementation of Balanced Product of Calibrated Experts for Long-Tailed Recognition (CVPR 2023).

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parallel-computing-2012-famaf-unc

Parallel Computing 2012 - FaMAF - UNC

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social-relations-recognition-egocentric-photostreams

Final Project - Master in Artificial Intelligence - UPC

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a-PyTorch-Tutorial-to-Image-Captioning

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

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ACE

code for paper [ACE: Ally Complementary Experts for Solving Long-Tailed Recognition in One-Shot] (ICCV 2021, oral))

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awesome_OpenSetRecognition_list

A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition

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BagofTricks-LT

A scientific and useful toolbox, which contains practical and effective long-tail related tricks with extensive experimental results

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CoSSL

Official PyTorch Implementation of "CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning" (CVPR 2022)

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CS229_ML

🍟 Stanford CS229: Machine Learning

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CS236_DGM

🦍 Stanford CS236 : Deep Generative Models

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daso

Repository for the paper `DASO: Distribution-Aware Semantics-Oriented Pseudo-label Imbalanced Semi-Supervised Learning'.

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soil-erosion-estimation-microsoft-kinect

Final Project - Soil Erosion Estimation Using a Microsoft Kinect - FaMAF - UNC

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detr

End-to-End Object Detection with Transformers

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lincir

Official Pytorch implementation of LinCIR: Language-only Training of Zero-shot Composed Image Retrieval (CVPR 2024)

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ml-coursera-python-assignments

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

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MMdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch and CoreML.

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multi-task-learning-example

A multi-task learning example for the paper https://arxiv.org/abs/1705.07115

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opencon

Code for TMLR 2023 paper "OpenCon: Open-world Contrastive Learning"

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PRML

PRML algorithms implemented in Python

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PRML-Solution-Manual

My Own Solution Manual of PRML

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PSMNet

Pyramid Stereo Matching Network (CVPR2018)

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s-clip

S-CLIP: Semi-supervised Vision-Language Pre-training using Few Specialist Captions

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Scene-Graph-Benchmark.pytorch

A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiased Scene Graph Generation from Biased Training CVPR 2020”

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SEED

Official implementation of SEED-LLaMA (ICLR 2024).

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Semi-supervised-learning

A Unified Semi-Supervised Learning Codebase (NeurIPS'22)

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stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

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TADE-AgnosticLT

This repository is the official Pytorch implementation of Test-Agnostic Long-Tailed Recognition by Test-Time Aggregating Diverse Experts with Self-Supervision.

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TRSSL

"Towards Realistic Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah (ECCV 2022)

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waspss

Hands-on WASP Summer School 2020

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