Pinned Repositories
ADaPTION
An adapted version of the original caffe deep learning library to support training, finetuning and testing of convolutional neural networks with limited numerical precision of weights and activations
astc-encoder
auc-recognition
Automatically exported from code.google.com/p/auc-recognition
autonomous-driving-behavioral-cloning
Built and trained a convolutional neural network for end-to-end driving in a simulator, using TensorFlow and Keras.
Autoware
Open-source software for urban autonomous driving
awesome-bci
Curated Collection of BCI resources
BPL
Bayesian Program Learning model for one-shot learning
edlut
Automatically exported from code.google.com/p/edlut
research
comma.ai for the people to experiment with
sheuan's Repositories
sheuan/ADaPTION
An adapted version of the original caffe deep learning library to support training, finetuning and testing of convolutional neural networks with limited numerical precision of weights and activations
sheuan/behavioral-cloning
Train a deep neural network to clone driving behavior by using images to predict steering angles
sheuan/BMXNet
sheuan/cama_summer_class_2017
杭电 CAMA-LAB 机器学习暑期研讨班
sheuan/CarND-Behavioral-Cloning-P3
Starting files for the Udacity CarND Behavioral Cloning Project
sheuan/deep-learning-book
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
sheuan/Deep-Learning-Boot-Camp
A nonprofit community run, 5-day Deep Learning Bootcamp
sheuan/deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
sheuan/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
sheuan/DeepLearning-IntroductionCourse
sheuan/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
sheuan/gan
some demo of GANs
sheuan/Gated-XNOR
Ternary Weights and Activations
sheuan/introdeeplearning
sheuan/learnopencv
Learn OpenCV : C++ and Python Examples
sheuan/lloyd-max-quantizer
Numpy implemented Lloyd-Max quantizer
sheuan/Loss-Functions
My own understanding on various kinds of Loss Function
sheuan/medicaldetectiontoolkit
sheuan/MIT-6.S094-Deep-Learning-for-Self-Driving-Cars
sheuan/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
sheuan/pytorch-CortexNet
PyTorch implementation of the CortexNet predictive model
sheuan/PyTorch-From-Zero-To-One
PyTorch从入门到精通
sheuan/qkeras
A a quantization deep learning library for Keras
sheuan/self-driving-car
The Udacity open source self-driving car project
sheuan/Self-driving-Car-1
Self-driving car related projects
sheuan/SimGAN
Implementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training
sheuan/stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
sheuan/stockprediction
Data and code of my Medium story on stock prediction with TensorFlow
sheuan/TensorQuant
sheuan/uvadlc_practicals_2016
Repository for practical assignments for UvA Deep Learning Course 2016