fujenchu

20bn-something-something-label-hierarchies

Metadata for the Something-Something dataset

AdaptSegNet

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

affordance-net

AffordanceNet - Multiclass Instance Segmentation Framework - ICRA 2018

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

matchingNet

implementation of Matching Net in Pytorch

relationNet

implementation of relationNet naive version

grasp_multiObject

Robotic grasp dataset for multi-object multi-grasp evaluation with RGB-D data. This dataset is annotated using the same protocal as Cornell Dataset, and can be used as multi-object extension of Cornell Dataset.

grasp_multiObject_multiGrasp

An implementation of our RA-L work 'Real-world Multi-object, Multi-grasp Detection'

simData

The dataset of our RA-L work 'Learning Affordance Segmentation for Real-world Robotic Manipulation via Synthetic Images'

simData_imgSaver

This repo contains tools to save images of simulated objects in Gazebo for affordance segmentation

fujenchu/relationNet

implementation of relationNet naive version

fujenchu/matchingNet

implementation of Matching Net in Pytorch

fujenchu/deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

fujenchu/20bn-something-something-label-hierarchies

Metadata for the Something-Something dataset

fujenchu/AdaptSegNet

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

fujenchu/affordance-net

AffordanceNet - Multiclass Instance Segmentation Framework - ICRA 2018

fujenchu/Algorithm_Interview_Notes-Chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

fujenchu/android-demo-app

PyTorch android examples of usage in applications

fujenchu/Augmentor

Image augmentation library in Python for machine learning.

fujenchu/da-faster-rcnn

An implementation of our CVPR 2018 work 'Domain Adaptive Faster R-CNN for Object Detection in the Wild'

fujenchu/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，50余万字。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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

fujenchu/examples

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

fujenchu/faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

fujenchu/fujenchu.github.io

fujenchu/fujenchu1.github.io

for hexo deploy

fujenchu/Matrix-Capsules-EM-Tensorflow

A Tensorflow implementation of CapsNet based on paper Matrix Capsules with EM Routing

fujenchu/ML-NLP

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

fujenchu/paper-tips-and-tricks

Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.

fujenchu/papers

:paperclip: Summaries of papers on deep learning

fujenchu/PRML

PRML algorithms implemented in Python

fujenchu/prototypical-networks

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

fujenchu/pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

fujenchu/pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

fujenchu/realai.org

fujenchu/reinforcement-learning-an-introduction

Python implementation of Reinforcement Learning: An Introduction

fujenchu/science_rcn

Reference implementation of a two-level RCN model

fujenchu/SpeechToText

Speech To Text in Android

fujenchu/supervised-reptile

Reptile on supervised meta-learning datasets

fujenchu/system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

fujenchu/visual-pushing-grasping

Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.