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agglomerator

Official code for "Interpretable part-whole hierarchies and conceptual-semantic relationships in neural networks" (CVPR2022)

awesome-federated-learning

Federated Learning Library: https://fedml.ai

awesome-llm

Awesome-LLM: a curated list of Large Language Model

awesome-neuroai-papers

Papers from the intersection of deep learning and neuroscience

bottleneck

cndesc

cnn_compression_rank_selection_bayesopt

Bayesian Optimization-Based Global Optimal Rank Selection for Compression of Convolutional Neural Networks, IEEE Access

deye

Keep an Eye on Defects Inspection.

dlg

[NeurIPS 2019] Deep Leakage From Gradients

draem

eyegestures

eye tracking software

fate

An Industrial Grade Federated Learning Framework

gazetracking

👀 Eye Tracking library easily implementable to your projects

ghostscan

A camera calibration sequence that intrinsically and extrinsically calibrates a camera for phase measuring deflectometry

hierarchical-localization

Visual localization made easy with hloc

iccv2021-paper-code-interpretation

ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理

interpretable-machine-learning-with-python

Interpretable Machine Learning with Python, published by Packt

kubefate

Manage federated learning workload using cloud native technologies.

maplab

A Modular and Multi-Modal Mapping Framework

mixed-segdec-net-comind2021

Official PyTorch implementation for "Mixed supervision for surface-defect detection: from weakly to fully supervised learning"

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

nn-visualizer

PyTorch implementation for "Visualizing the Emergence of Intermediate Visual Patterns in DNNs"

openlane-v2

OpenLane-V2: The World's First Perception and Reasoning Benchmark for Scene Structure in Autonomous Driving

paddlefl

Federated Deep Learning in PaddlePaddle

paper-with-code-of-wireless-communication-based-on-dl

无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL

segnext

Official Pytorch implementations for "SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation" (NeurIPS 2022)

shiq

Project for CVPR21 paper: "A Multi-Task Network for Joint Specular Highlight Detection and Removal".

snr-aware-low-light-enhance

This is the official implementation for the paper "SNR-aware low-light image enhancement" in CVPR2022

superglue-pytorch

[SuperGlue: Learning Feature Matching with Graph Neural Networks] This repo includes PyTorch code for training the SuperGlue matching network on top of SIFT keypoints and descriptors.