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aaai-2024-papers

AAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for better understanding. ⭐ experience the forefront of progress in artificial intelligence with this repository!

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-n-cheap

AutoML framework balancing performance and complexity

deep_learning

diffusers

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

dnc

dpr

[WACV2024] Patch-based Selection and Refinement for Early Object Detection

federated-learning

generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

machine_learning

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

mindelay

'Minimum Delay Object Detection From Video', ICCV 2019

nlp

nmt

TensorFlow Neural Machine Translation Tutorial

opticalflow

pmfl

[BigData2022] PMFL: Partial Meta-Federated Learnig

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.

selective-attention

[ISCAS2023] Improving the Efficiency of CMOS Image Sensors through In-Sensor Selective Attention

socket_programming

ssr

[AAAI2024] Transformer-Based Selective Super-resolution for Efficient Image Refinement

uefl

Uncertainty-based Extensible-codebook Federated Learning