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Name: bruce
Type: User
Name: bruce
Type: User
A tensorflow implementation of google's AC-GAN ( Auxiliary Classifier GAN ).
Code and hyperparameters for the paper "Generative Adversarial Networks"
The classical papers and codes about generative adversarial nets
All Convolutional Network: (https://arxiv.org/abs/1412.6806#) implementation in Keras
Joint Vector Spaces
implementations of various types of auto-encoders in tensorflow(in progress)
:books: List of awesome university courses for learning Computer Science!
Deep Learning and deep reinforcement learning research papers and some codes
List of machine learning competitions for satellite imagery and remote sensing.
TensorFlow - A curated list of dedicated resources http://tensorflow.org
Must-read list and classic books of computational geometry and computer graphics
Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
Caffe: a fast open framework for deep learning.
:heart::coffee: Deep Learning of Binary Hash Codes for Fast Image Retrieval (CVPRW15)
A deconvolutional network in caffe
[ICCV 2015] Framework for optimizing CNNs with linear constraints for Semantic Segmentation
README and scripts for the Cityscapes Dataset
A library for benchmarking vulnerability to adversarial examples
:sunrise:The code of post "Image retrieval using MatconvNet and pre-trained imageNet"
A technical report on convolution arithmetic in the context of deep learning
Converter tools for Core ML.
Assignments for Geoffrey Hinton's Neural Net Course on Coursera, translated from (gross)Matlab into (beautiful)Python.
A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译
🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models
Conditional variational autoencoder implementation in Torch
Collection of CVPR 2017, including titles, links, authors, abstracts and my own comments
Deep Filter Banks for Texture Recognition, Description and Segmentation (CVPR15)
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.