bruce's repositories
Book-list-of-computational-geometry-and-computer-graphics
Must-read list and classic books of computational geometry and computer graphics
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
the-gan-zoo
A list of all named GANs!
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"
autoencoders
implementations of various types of auto-encoders in tensorflow(in progress)
CS291K
🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models
awesome-deeplearning-resources
Deep Learning and deep reinforcement learning research papers and some codes
scikit-learn
scikit-learn: machine learning in Python
imgaug
Image augmentation for machine learning experiments.
spark-ml-source-analysis
spark ml 算法原理剖析以及具体的源码实现分析
models
Models and examples built with TensorFlow
pytorch-beginner
pytorch tutorial for beginners
tensorflow-generative-model-collections
Collection of generative models in Tensorflow
multimodal-vae
Generative model for multimodal data
pix2pixHD
Synthesizing and manipulating 2048x1024 images with conditional GANs
gluon-tutorials-zh
通过MXNet/Gluon来动手学习深度学习
PyTorch-Tutorial
Build your neural network easy and fast
nn_tools
Neural Network Tools: Converter, Constructor and Analyzer. For caffe, pytorch, tensorflow, draknet and so on.
welcome_tutorials
Various tutorials given for welcoming new students at MILA.
PRMLT
Matlab code for machine learning algorithms in book PRML
PyTorchZeroToAll
Simple PyTorch Tutorials Zero to ALL!
PRML
PRML algorithms implemented in Python
keras
Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.
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.
generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
CVPR-2017-Abstracts-Collection
Collection of CVPR 2017, including titles, links, authors, abstracts and my own comments
DeepHashingBaselines
Deep Hashing Baselines
summerschool2017
Material for the Montréal Deep Learning Summer School 2017