Yongcan Yu's repositories
nanosam
A distilled Segment Anything (SAM) model capable of running real-time with NVIDIA TensorRT
Awesome-Segment-Anything
This repository is for the first comprehensive survey on Meta AI's Segment Anything Model (SAM).
X-AnyLabeling
Effortless data labeling with AI support from Segment Anything and other awesome models.
PTI
Official Implementation for "Pivotal Tuning for Latent-based editing of Real Images" (ACM TOG 2022) https://arxiv.org/abs/2106.05744
FSCW
海大光学
free-programming-books
:books: Freely available programming books
nn_vis
A project for processing neural networks and rendering to gain insights on the architecture and parameters of a model through a decluttered representation.
ml-cvnets
CVNets: A library for training computer vision networks
marine-debris-fls-datasets
Marine Debris Datasets captured with a Forward-Looking Sonar in a water tank and turntable
RE-OWOD
revisiting open world object detection
FATE
An Industrial Grade Federated Learning Framework
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
KD_Lib
A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization.
RepetitionCounting
Code for "Repetitive Activity Counting by Sight and Sound"
yolov5-net
YOLOv5 object detection with C#, ML.NET, ONNX
ICLR2022-OpenReviewData
ICLR 2022 Paper submission trend analysis from https://openreview.net/group?id=ICLR.cc/2022/Conference
ILearnDeepLearning.py
This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.
Visualizer
helper tools for attention visualization in deep learning
ICCV2021-Paper-Code-Interpretation
ICCV2021/2019/2017 论文/代码/解读/直播合集,极市团队整理
AdderNet
Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"
xview-yolov3
xView 2018 Object Detection Challenge: YOLOv3 Training and Inference.
flexible-yolov5
More readable and flexible yolov5 with more backbone(resnet, shufflenet, moblienet, efficientnet, hrnet) and (cbam)
NBNet
NBNet: Noise Basis Learning for Image Denoising with Subspace Projection
VoTT
Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.
involution
[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator
Transformer-Explainability
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.