afcarl Goto Github PK
Name: Andrew Carl
Type: User
Bio: "GitHub AI Brain-of-Brains": https://2strikehitter.com/AI_BrainofBrains.html
Location: Las Vegas, Nevada, USA
Blog: https://afcarl.github.io
Name: Andrew Carl
Type: User
Bio: "GitHub AI Brain-of-Brains": https://2strikehitter.com/AI_BrainofBrains.html
Location: Las Vegas, Nevada, USA
Blog: https://afcarl.github.io
PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940
in progress
Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)
Repository for "Generating Sentences by Editing Prototypes"
first attempt at description2code from 2016
Super Resolution for images using deep learning.
Neural Network image zoom and enlarging. based on alexjc/neural-enhance
Convolutional nets which can take molecular graphs of arbitrary size as input.
Visual Convolutional Neural Graph Fingerprints in Theano/Lasagne
Code for the Neural GPU model originally described in "Neural GPUs Learn Algorithms"
Implementation of NIMA: Neural Image Assessment in Keras
Implementation of neural language models, in particular Collobert + Weston (2008) and a stochastic margin-based version of Mnih's LBL.
Train an RL agent to localize actively (PyTorch)
Neural Machine Translation Experiment with TensorFlow
Code for the paper "Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents"
This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow
A neural network library including feed forward and recurrent networks as well as genetic algorithms
Evolving a neural network with a genetic algorithm.
Standard neural network implemented in python
A set of prototypes and implementations for various neural network and machine learning architectures.
Neural Network Programming with TensorFlow, published by Packt
Semester project for COS 470 (Artifical Intelligence) at the University of Maine.
Code samples for my book "Neural Networks and Deep Learning"
Supporting code for short YouTube series Neural Networks Demystified.
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.