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4g-profibus

4G-PROFIBUS

android_learning

Android开发学习

awesome-backbones

Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project

awesome-surgical-video-analysis

Papers of ComputerVision x Surgery

bottomnavigation

This Library helps users to use Bottom Navigation Bar (A new pattern from google) with ease and allows ton of customizations

campus_interview

互联网校招面经汇总（大家多多贡献下）

chatgpt-cn-full-tutorial

ChatGPT 中文注册全过程。高速镜像网站、软件推荐、浏览器扩展，高效助力编程开发！

classification-12cat-resnet-and-vit

细粒度图像分类之十二猫分类，对比ResNet和ViT两者模型性能。

decentralized-multiarm

[CoRL 2020] Learning a Decentralized Multiarm Motion Planner

detr

End-to-End Object Detection with Transformers

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

efficient-3dcnns

PyTorch Implementation of "Resource Efficient 3D Convolutional Neural Networks", codes and pretrained models.

hand_eye_calibration

Python tools to perform time-synchronization and hand-eye calibration.

helloworld

this is my test

hierarchical_il_rl

Code for hierarchical imitation learning and reinforcement learning

imitation_from_observation

Learning to Imitate Behaviors from Raw Video via Context Translation

kandinsky-2

Kandinsky 2 — multilingual text2image latent diffusion model

learningnotes

Enjoy Learning.

leetcode

leetcode刷题

mil

Code for "One-Shot Visual Imitation Learning via Meta-Learning"

mlsh

myux

ninegridview

类似QQ空间，微信朋友圈，微博主页等，展示图片的九宫格控件，自动根据图片的数量确定图片大小和控件大小，使用Adapter模式设置图片，对外提供接口回调，使用接口加载图片,支持任意的图片加载框架,如 Glide,ImageLoader,Fresco,xUtils3,Picasso 等，支持点击图片全屏预览大图。

ocrtest

okhttp

An HTTP+HTTP/2 client for Android and Java applications.

okhttputils

okhttp的辅助类

online-3d-bpp-drl

python-urx

Python library to control a robot from 'Universal Robots' http://www.universal-robots.com/

pytorch-dense-correspondence

Code for "Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation"

qt_opt

Q-network with cross-entropy (CE) method for reinforcement learning.