Pinned Repositories
awesome-satellite-imagery-competitions
List of machine learning competitions for satellite imagery and remote sensing.
CNN-for-Image-Retrieval
:sunrise:The code of post "Image retrieval using MatconvNet and pre-trained imageNet"
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
deeplearningbook-chinese
Deep Learning Book Chinese Translation
generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
multimodal-vae
Generative model for multimodal data
readai
READAI - Artificial Intelligence Reading Group
style-swap
code for Fast Patch-based Style Transfer of Arbitrary Style
t81_558_deep_learning
WUSTL Course T81-558: Applications of Deep Neural Networks
TensorFlow-Book
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
wenxuanliu's Repositories
wenxuanliu/multimodal-vae
Generative model for multimodal data
wenxuanliu/awesome-satellite-imagery-competitions
List of machine learning competitions for satellite imagery and remote sensing.
wenxuanliu/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
wenxuanliu/generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
wenxuanliu/the-gan-zoo
A list of all named GANs!
wenxuanliu/autoencoders
implementations of various types of auto-encoders in tensorflow(in progress)
wenxuanliu/awesome-deeplearning-resources
Deep Learning and deep reinforcement learning research papers and some codes
wenxuanliu/Book-list-of-computational-geometry-and-computer-graphics
Must-read list and classic books of computational geometry and computer graphics
wenxuanliu/bottom-up-attention
Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
wenxuanliu/coremltools
Converter tools for Core ML.
wenxuanliu/CS291K
🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models
wenxuanliu/CVPR-2017-Abstracts-Collection
Collection of CVPR 2017, including titles, links, authors, abstracts and my own comments
wenxuanliu/DeepHashingBaselines
Deep Hashing Baselines
wenxuanliu/gluon-tutorials-zh
通过MXNet/Gluon来动手学习深度学习
wenxuanliu/imgaug
Image augmentation for machine learning experiments.
wenxuanliu/keras
Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.
wenxuanliu/models
Models and examples built with TensorFlow
wenxuanliu/NLP_ability
总结梳理自然语言处理工程师(NLP)需要积累的各方面知识,包括面试题,各种基础知识,工程能力等等,提升核心竞争力
wenxuanliu/nn_tools
Neural Network Tools: Converter, Constructor and Analyzer. For caffe, pytorch, tensorflow, draknet and so on.
wenxuanliu/pix2pixHD
Synthesizing and manipulating 2048x1024 images with conditional GANs
wenxuanliu/PRML
PRML algorithms implemented in Python
wenxuanliu/PRMLT
Matlab code for machine learning algorithms in book PRML
wenxuanliu/pytorch-beginner
pytorch tutorial for beginners
wenxuanliu/PyTorch-Tutorial
Build your neural network easy and fast
wenxuanliu/PyTorchZeroToAll
Simple PyTorch Tutorials Zero to ALL!
wenxuanliu/scikit-learn
scikit-learn: machine learning in Python
wenxuanliu/spark-ml-source-analysis
spark ml 算法原理剖析以及具体的源码实现分析
wenxuanliu/summerschool2017
Material for the Montréal Deep Learning Summer School 2017
wenxuanliu/tensorflow-generative-model-collections
Collection of generative models in Tensorflow
wenxuanliu/welcome_tutorials
Various tutorials given for welcoming new students at MILA.