bruce's repositories
multimodal-vae
Generative model for multimodal data
awesome-satellite-imagery-competitions
List of machine learning competitions for satellite imagery and remote sensing.
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
the-gan-zoo
A list of all named GANs!
autoencoders
implementations of various types of auto-encoders in tensorflow(in progress)
awesome-deeplearning-resources
Deep Learning and deep reinforcement learning research papers and some codes
Book-list-of-computational-geometry-and-computer-graphics
Must-read list and classic books of computational geometry and computer graphics
bottom-up-attention
Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
coremltools
Converter tools for Core ML.
CVPR-2017-Abstracts-Collection
Collection of CVPR 2017, including titles, links, authors, abstracts and my own comments
DeepHashingBaselines
Deep Hashing Baselines
gluon-tutorials-zh
通过MXNet/Gluon来动手学习深度学习
imgaug
Image augmentation for machine learning experiments.
models
Models and examples built with TensorFlow
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
pix2pixHD
Synthesizing and manipulating 2048x1024 images with conditional GANs
PRMLT
Matlab code for machine learning algorithms in book PRML
pytorch-beginner
pytorch tutorial for beginners
PyTorch-Tutorial
Build your neural network easy and fast
PyTorchZeroToAll
Simple PyTorch Tutorials Zero to ALL!
scikit-learn
scikit-learn: machine learning in Python
spark-ml-source-analysis
spark ml 算法原理剖析以及具体的源码实现分析
summerschool2017
Material for the Montréal Deep Learning Summer School 2017
tensorflow-generative-model-collections
Collection of generative models in Tensorflow
welcome_tutorials
Various tutorials given for welcoming new students at MILA.