Adrian Cosma (cosmaadrian)

cosmaadrian

Geek Repo

Company:University Politehnica of Bucharest

Location:Bucharest, Romania

Home Page:https://scholar.google.com/citations?user=cdYk_RUAAAAJ&hl=en

Twitter:@adrianicosma

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Adrian Cosma's repositories

time-enriched-multimodal-depression-detection

Official source code for the paper: "It’s Just a Matter of Time: Detecting Depression with Time-Enriched Multimodal Transformers"

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multimodal-depression-from-video

Official source code for the paper: "Reading Between the Frames Multi-Modal Non-Verbal Depression Detection in Videos"

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gaitformer

GaitFormer Official Codebase for the paper "Learning Gait Representations with Noisy Multi-Task Learning"

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acumen-template

The deep learning researcher's starter kit

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gait-vit

Official codebase for "Exploring Self-Supervised Vision Transformers for Gait Recognition in the Wild"

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psymo

Repository for the WACV 2024 paper "PsyMo: A Dataset for Estimating Self-Reported Psychological Traits from Gait"

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rocode

Official repository for "RoCode: A Dataset for Measuring Code Intelligence from Problem Definitions in 🇷🇴 Romanian 🇷🇴"

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romath

Official repository for "RoMath: A Mathematical Reasoning Benchmark in 🇷🇴 Romanian 🇷🇴"

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acumen-indexer

Utility for constructing highly efficient in-memory / on-disk datasets.

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ml-starter-pack

A repository of machine learning resources for getting started in machine learning research.

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acumen-compressor

Order-agnostic lossless compressor using BPE and Huffman Coding.

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ml-environment

Machine Learning virtual environment

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nli-stress-test

Official repository for the EMNLP 2024 paper "How Hard is this Test Set? NLI Characterization by Exploiting Training Dynamics"

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ucs-lab

Source code for Ubiquitous Cognitive Systems group.

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csi-anim

Animations for opencv to bring CSI surveillance to reality.

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deploy_ai

Code for Epoch 7: Deploying AI

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dog-breeds

Data for Bucharest School of AI: Epoch 2.2

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noise-as-targets-tensorflow

Noise-as-targets representation learning for cifar10. Implementation based on the paper "Unsupervised Learning by Predicting Noise" by Bojanowski and Joulin.

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PixelCNN

PyTorch implementation of gated PixelCNN

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