whmjohn Goto Github PK

955.wlb

955 不加班的公司名单 - 工作 955，work–life balance (工作与生活的平衡)

apollo

An open autonomous driving platform

augretain_pronet

cocoapi

COCO API - Dataset @ http://cocodataset.org/

cropvideoflow

对视频中运动物体的光流显示

cyc2018

【转】技术面试必备基础知识、Leetcode 题解、后端面试、Java 面试、春招、秋招、操作系统、计算机网络、系统设计

deformable-detr

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

dftpav

A lightweight differential flatness-based trajectory planner for car-like robots

difftaichi

10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)

dino

Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"

dn-detr

[CVPR 2022 Oral]Official implementation of DN-DETR

few-shot-object-detection-dataset

fsod-code

games201

Advanced Physics Engines 2020: A Hands-on Tutorial

hust-tasks

ideme-net

A PyTorch implementation of "Image Deformation Meta-Networks for One-Shot Learning"(CVPR 2019 Oral).

image-contrast-enhancement

C++ implementation of several image contrast enhancement techniques.

kuiperinfer

带你从零实现一个高性能的深度学习推理库，支持Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step

learningtocompare_fsl

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

leetcode

meta-detr

[T-PAMI 2022] Meta-DETR for Few-Shot Object Detection: Official PyTorch Implementation

metar-cnn

Meta R-CNN : Towards General Solver for Instance-level Low-shot Learning

metric_distance

msrcr-restoration

Retinex Algorithms: C++ source code of SSR, MSR, MSRCR algorithm

mvits_for_class_agnostic_od

[ECCV'22] Official repository of paper titled "Class-agnostic Object Detection with Multi-modal Transformer".

mygoodcoder

mygoodcoder

nonlinear-equation

omniglot

Omniglot data set for one-shot learning

openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

prototypical-networks

Code for the NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"