Bryce's repositories

T-Mamba

T-Mamba: Frequency-Enhanced Gated Long-Range Dependency for Tooth 3D CBCT Segmentation.

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yolov1_pytorch

The implement of yolov1 using pytorch, and supply the weight file of network for thoes who there are limitations about hardware.

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Detect-Anything

Detect-Anything is a versatile image processing tool that combines the capabilities of Segment Anything, BLIPV, and ChatGPT.

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GEM

GEM: Boost Simple Network for Glass Surface Segmentation via Vision Foundation Models

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yolov3_pytorch

Object Detection algorithm YOLOv3 implement by pytorch(with .pth download)

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Remove-Anything-Once

Inpaint anything using Segment Anything and inpainting models.

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Faster-R-CNN-by-pytorch

Faster R-CNN implement by pytorch

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Deep-Learning.ai

my notes of Deep Learning.ai

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nanot

The inplementation and expanding of NanoDet in pyTorch and testing in Jetson Nano through pruning and quantilization. Later, it will inplement the transformer-based object detection.

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qtimage

qt实现一个简单的图像特殊处理(qt图像处理 图像特殊处理 c++图像处理 中值滤波 高斯模糊等)

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AdaLAM

AdaLAM is a fully handcrafted realtime outlier filter integrating several best practices into a single efficient and effective framework. It detects inliers by searching for significant local affine patterns in image correspondences.

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ASFF

yolov3 with mobilenet v2 and ASFF

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cheatsheets

Official Matplotlib cheat sheets

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CS-Notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

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detr_note

Making own note and explanation of DETR

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faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

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fucking-algorithm

刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.

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Grounded-Segment-Anything

Marrying Grounding DINO with Segment Anything & Stable Diffusion & BLIP & Whisper - Automatically Detect , Segment and Generate Anything with Image, Text, and Speech Inputs

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Hummingbird

Hummingbird: A light and fast multimodal visual language model

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leetcode-master

LeetCode 刷题攻略:配思维导图,各个类型的经典题目刷题顺序、经典算法模板,以及详细图解和视频题解。这里精选的题目都不是孤立的,而是由浅入深一脉相承的,相信只要按照刷题攻略上的顺序来学习,一定会有所收获!给个star支持一下吧!

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netron

Visualizer for neural network, deep learning, and machine learning models

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Object-Detection-Metrics

Most popular metrics used to evaluate object detection algorithms.

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Segment-Everything-Everywhere-All-At-Once

[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"

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