Yuxin Liu's repositories
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，近30万字。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
CppTemplateTutorial
中文的C++ Template的教学指南。与知名书籍C++ Templates不同，该系列教程将C++ Templates作为一门图灵完备的语言来讲授，以求帮助读者对Meta-Programming融会贯通。(正在施工中)
cvpr_wad
This is the repository including our contribution to cvpr_2018_autonomous_driving_challenge, forked from our team's repository.
kaggle_competition-other_projects
this repository including my competition and other small projects from 2017.09-2018.02
lab
This is the repository of my labourtory project, forked from the our team's repository.
master_thesis
INFOTECH master thesis project
Deep-Learning-Boot-Camp
A community run, 5-day PyTorch Deep Learning Bootcamp
horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
linux
Linux kernel source tree
mindspore
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
mmcv
OpenMMLab Computer Vision Foundation
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Tensorflow-Tutorial
Some interesting TensorFlow tutorials for beginners.