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2023aicity_code_from_top_teams

Codes From Top Teams in 2023 AIC challenge

ai-city-2023-track2

aic23_nlretrieval_hcmiu_cvip

Official codes of the :trophy: 1st place for The NVIDIA AI City Challenge 2023 - Track 2

aisearchalgorithm

AI Searching Algorithms

awesome-conformal-prediction

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

awesome-graph-self-supervised-learning

Awesome Graph Self-Supervised Learning

awesome-scientific-language-models

A Curated List of Language Models in Scientific Domains

awesome-time-series

A comprehensive survey on the time series domains

awesome-video-text-retrieval

A curated list of deep learning resources for video-text retrieval.

awsome-vietnamese-nlp

A collection of Vietnamese Natural Language Processing resources.

best_ai_papers_2023

A curated list of the latest breakthroughs in AI (in 2023) by release date with a clear video explanation, link to a more in-depth article, and code.

ble.sh

Bash Line Editor―a line editor written in pure Bash with syntax highlighting, auto suggestions, vim modes, etc. for Bash interactive sessions.

cam

Class Activation Mapping

codcom

Codcom is an AI-powered web app which could generate comments for Python code

comment-code

Create an explanation for a particular piece of code

concep_based_explanations

conference-acceptance-rate

Acceptance rates for the major AI conferences

contacts_socketprogramming

Phần mềm lưu trữ và cho phép truy xuất danh bạ người dùng. Lập trình client-server. Socket Programming

contrastive-lrp

A pytorch implemention of the Explainable AI work 'Contrastive layerwise relevance propagation (CLRP)'

craft

👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)

cutout

2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552

dam

DAM: Diffusion Activation Maximization for 3D Global Explanations

evalprotopnet

[ICCV 2023] Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks

evolvegcn

Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

expert_code

Code of the WCAV paper: Prototype Learning for Explainable Brain Age Prediction

expgeneralizability

fiddle-experiments

Experiments applying FIDDLE on MIMIC-III and eICU. https://doi.org/10.1093/jamia/ocaa139

fido-saliency

Explaining Image Classifiers by Counterfactual Generation

fisheye8k

FishEye8K: A Benchmark and Dataset for Fisheye Camera Object Detection

fracprojforest