xc2017

Pinned Repositories

apollo
An open autonomous driving platform
Language:C++00
Associative_LSTM
LSTM with associative memory cells (http://arxiv.org/abs/1602.03032)
Language:Python0 1 00
conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
Language:TeX00
curriculum_vita_lists
curriculum_vita_lists 2017春季学生名单
Language:HTML0 1 00
Deep-3D-Obj-Recognition
3D Object Recognition with Deep Networks Project for 3D Vision - ETHZ
Language:Jupyter Notebook0 1 00
deep-residual-networks
Deep Residual Learning for Image Recognition
0 1 00
deeplearning.ai
deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.
0 1 00
deeplearning.ai-1
The notes of Adrew Ng's coursera course: deeplearning.ai. Glad to answer any related questions, just email me.
Language:CSS00
DeepST
Deep Learning for Spatio-Temporal Data
Language:Python0 1 00
PRML
PRML algorithms implemented in Python
Language:Jupyter Notebook10

xc2017's Repositories

xc2017/PRML
PRML algorithms implemented in Python
Language:Jupyter Notebook10
xc2017/apollo
An open autonomous driving platform
Language:C++00
xc2017/Associative_LSTM
LSTM with associative memory cells (http://arxiv.org/abs/1602.03032)
Language:Python0 1 00
xc2017/conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
Language:TeX00
xc2017/curriculum_vita_lists
curriculum_vita_lists 2017春季学生名单
Language:HTML0 1 00
xc2017/Deep-3D-Obj-Recognition
3D Object Recognition with Deep Networks Project for 3D Vision - ETHZ
Language:Jupyter Notebook0 1 00
xc2017/deep-residual-networks
Deep Residual Learning for Image Recognition
0 1 00
xc2017/deeplearning.ai
deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.
0 1 00
xc2017/deeplearning.ai-1
The notes of Adrew Ng's coursera course: deeplearning.ai. Glad to answer any related questions, just email me.
Language:CSS00
xc2017/DeepST
Deep Learning for Spatio-Temporal Data
Language:Python0 1 00
xc2017/firsthomework
homework 1
Language:HTML
xc2017/google-research
Google Research
xc2017/HKO-7
Source code of paper "[NIPS2017] Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model"
Language:Python1 0
xc2017/keras-resnet3d
Implementations of ResNets for volumetric data, including a vanilla resnet in 3D.
Language:Python1 0
xc2017/pseudo-3d-residual-networks
Pseudo-3D Convolutional Residual Networks for Video Representation Learning
Language:C++1 0
xc2017/pynio
PyNIO is a multi-format data I/O package with a NetCDF-style interface
Language:C1 0
xc2017/secondhomework
design demos by using html, css, javascript to show what you have learned.
Language:JavaScript
xc2017/stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
1 0
xc2017/stochastic-batch-normalization
Uncertainty Estimation via Stochastic Batch Normalization
Language:Jupyter Notebook
xc2017/thirdhomework
final test project, hope each student can employ html,css,javascript(threejs,jquery and so on),php to build the final project.
Language:JavaScript1 03
xc2017/three.js
JavaScript 3D library.
Language:JavaScript
xc2017/turbulence-modeling-PIML
Data-driven Reynolds stress modeling with physics-informed machine learning
Language:HTML1 0
xc2017/voxnet
3D/Volumetric Convolutional Neural Networks with Theano+Lasagne
Language:Python