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Name: mcw
Type: User
Bio: just do it!
Name: mcw
Type: User
Bio: just do it!
Asch is an efficient, flexible, safe and decentralized application platform, which was initially designed to lower the barrier to entry for developers.The services provided by the Asch platform include a public chain and a set of application SDKs.
Tensor methods have emerged as a powerful paradigm for consistent learning of many latent variable models such as topic models, independent component analysis and dictionary learning. Model parameters are estimated via CP decomposition of the observed higher order input moments. However, in many domains, additional invariances such as shift invariances exist, enforced via models such as convolutional dictionary learning. In this paper, we develop novel tensor decomposition algorithms for parameter estimation of convolutional models. Our algorithm is based on the popular alternating least squares method, but with efficient projections onto the space of stacked circulant matrices. Our method is embarrassingly parallel and consists of simple operations such as fast Fourier transforms and matrix multiplications. Our algorithm converges to the dictionary much faster and more accurately compared to the alternating minimization over filters and activation maps.
This package contains the code to run Learned D-AMP, D-AMP, D-VAMP, D-prGAMP, and DnCNN algorithms. It also includes code to train Learned D-AMP, DnCNN, and Deep Image Prior U-net using the SURE loss.
Source code for "A Globally Optimal Energy-Efficient Power Control Framework and its Efficient Implementation in Wireless Interference Networks" by Bho Matthiesen, Alessio Zappone, Karl-L. Besser, Eduard A. Jorswieck, and Merouane Debbah, accepted for publication in IEEE Transactions on Signal Processing.
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.
《深度学习与计算机视觉》配套代码
🔴蓝灯最新版本下载 https://github.com/getlantern/download 🔴 Lantern Latest Download https://github.com/getlantern/lantern/releases/tag/latest 🔴
Lua/Torch implementation of DQN (Nature, 2015)
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
Vanilla DQN, Double DQN, and Dueling DQN implemented in PyTorch
DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (DQN) agent.
A fast library for AutoML and tuning.
Gated Graph Sequence Neural Networks
A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN) and Residual Gated Graph ConvNets (RGGC) for FYP
:cn: GitHub中文排行榜,各语言分设「软件 | 资料」榜单,精准定位中文好项目。各取所需,高效学习。
This is the repository for the collection of Graph-based Deep Learning for Communication Networks.
This code is for the following paper: H. He, C. Wen, S. Jin, and G. Y. Li, “Deep learning-based channel estimation for beamspace mmwave massive MIMO systems,” IEEE Wireless Commun. Lett., vol. 7, no. 5, pp. 852–855, Oct. 2018.
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
D2D
memcached development tree
Lemke Howson simplex implementation to evaluate Nash Equillibrium
This repository contains programs for several approximation algorithms. 1- fixed point iteration. 2- Bisection method. 3- False position method. 4- Newton raphson method. 5- The secant method. Interpolation algorithms like 1- Langrange Interpolation. 2- Newton Dividend Difference. 3- Newton Forward Difference. 4- Newton Backward Difference 5- Spline Interpolation. are also available
Matlab implementation of some evolutionary dynamics from game theory, such as: replicator dynamics, smith dynamics, logit dynamics, and Brown-von Neumann-Nash.
Software radio distribution and installer for conda
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.