GithubHelp home page GithubHelp logo

ADE20K_Boy's Projects

996.icu icon 996.icu

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

bevdet icon bevdet

Official code base of the BEVDet series .

bevformer icon bevformer

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

c3d icon c3d

C3D is a modified version of BVLC caffe to support 3D ConvNets.

caffe icon caffe

Caffe: a fast open framework for deep learning.

centernet icon centernet

Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .

centernet-1 icon centernet-1

Object detection, 3D detection, and pose estimation using center point detection:

classification icon classification

感知器、贝叶斯分类、决策树分类、K最近邻法、逻辑回归、支持向量机...

cleanlab icon cleanlab

Finding label errors in datasets and learning with noisy labels.

convnet-drawer icon convnet-drawer

Python script for illustrating Convolutional Neural Networks (CNN) using Keras-like model definitions

cvat icon cvat

Powerful and efficient Computer Vision Annotation Tool (CVAT)

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,近30万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

detectron2 icon detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

examples icon examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fcn.berkeleyvision.org icon fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

fvcore icon fvcore

Collection of common code that's shared among different research projects in FAIR computer vision team.

google-machine-learning-crash-course icon google-machine-learning-crash-course

谷歌机器学习速成课程+机器学习术语表PDF+机器学习规则PDF 。该资源适用于机器学习、深度学习和TensorFlow爱好者参考!

hdml icon hdml

Hamming Distance Metric Learning with Non-linear Projection

image_classification_with_5_methods icon image_classification_with_5_methods

Compared performance of KNN, SVM, BPNN, CNN, Transfer Learning (retrain on Inception v3) on image classification problem. CNN is implemented with TensorFlow

kalmanfilter icon kalmanfilter

卡尔曼滤波器的实现。内附原理及说明。基于numpy矩阵运算。

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.