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Name: Lucky
Type: User
Bio: CV,automation
Name: Lucky
Type: User
Bio: CV,automation
This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" by Jonathan Frankle and Michael Carbin that can be easily adapted to any model/dataset.
[PAMI 2020] Show, Match and Segment: Joint Weakly Supervised Learning of Semantic Matching and Object Co-segmentation
Image classification using reinforcement learning and multi-agent system
Unity Machine Learning Agents Toolkit
深度学习常用优化方法详解
Resources on Music Generation with Deep Learning
Network Slimming (Pytorch) (ICCV 2017)
A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)
Codes of my MOOC Course <Play with Algorithm Interviews>. Updated contents and practices are also included. 我在慕课网上的课程《玩儿转算法面试》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
Pytorch implementation of Polygon-RNN(http://www.cs.toronto.edu/polyrnn/poly_cvpr17/)
PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference
Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow
research project@School of AI. One shot segmentation using Reinforcement Learning for small medical data
Deep Reinforcement Learning (DRL) agents applied to medical images
Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning (CVPR 2018 Spotlight)
Deep Reinforcement Learning for Surgical Gesture Segmentation and Classification (MICCAI 2018)
Medical Image Segmentation with Deep Reinforcement Learning
A policy-based reinforcement learning project, in particular DDPG, aim to move to target locations. The deep learning framework was written in PyTorch.
Semantic Predictive Control
A datasets and methods survey about task-oriented dialogue, including recent datasets and SOTA leaderboards.
Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥
DDPG implementation for continuous action space
Using MobileNet as the backbone of UNet
**科学技术大学软件学院人工智能课程
Non-local Neural Networks for Video Classification
这是一个yolo3-pytorch的源码,可以用于训练自己的模型。
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.