Fu-Jen (Richard) Chu's repositories
relationNet
implementation of relationNet naive version
matchingNet
implementation of Matching Net in Pytorch
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
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
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
android-demo-app
PyTorch android examples of usage in applications
Augmentor
Image augmentation library in Python for machine learning.
da-faster-rcnn
An implementation of our CVPR 2018 work 'Domain Adaptive Faster R-CNN for Object Detection in the Wild'
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
faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
fujenchu1.github.io
for hexo deploy
Matrix-Capsules-EM-Tensorflow
A Tensorflow implementation of CapsNet based on paper Matrix Capsules with EM Routing
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。
paper-tips-and-tricks
Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.
papers
:paperclip: Summaries of papers on deep learning
prototypical-networks
Code for the NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
reinforcement-learning-an-introduction
Python implementation of Reinforcement Learning: An Introduction
science_rcn
Reference implementation of a two-level RCN model
SpeechToText
Speech To Text in Android
supervised-reptile
Reptile on supervised meta-learning datasets
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
visual-pushing-grasping
Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.