kirk86 Goto Github PK
Type: User
Company: jmitros.github.io
Bio: A work in progress! All aspects computation.
Twitter: 68kirk
Blog: kirk86.github.io
Type: User
Company: jmitros.github.io
Bio: A work in progress! All aspects computation.
Twitter: 68kirk
Blog: kirk86.github.io
A list of papers and resources dedicated to deep reinforcement learning
A list of recent papers regarding deep reinforcement learning
Deep learning code by Hinton
Deep Learning (Python, C/C++, Java)
Code for Deep Learning class at Google
Summaries and notes on Deep Learning research papers
Deep Learning Tutorial notes and code. See the wiki for more info.
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders
Implementation of some deep learning algorithms.
Demos and tutorials around Torch7.
Dense image captioning in Torch
Quick setup of ubuntu and arch dev server
Reference implementations of neural networks with differentiable memory mechanisms (NTM, Stack RNN, etc.)
A DSL for deep neural networks, supporting Caffe and Torch
Vim, zsh, and other configuration files.
:wrench: .files, including ~/.osx — sensible hacker defaults for OS X
A deep learning library for streamlining research and development using the Torch7 distribution.
Implementation of DQN in neon
DropNeuron: Simplifying the Structure of Deep Neural Networks
This is the page for the book Digital Signal Processing with Kernel Methods.
Implementation of Dynamic memory networks by Kumar et al. http://arxiv.org/abs/1506.07285
A Rmarkdown editor with instant preview
Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)
Minimalistic emacs config
Faster R-CNN
Facebook's extensions to torch/cunn.
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.