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
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
Assignment solutions for Game Theory course taught at IIIT-Hyderabad
TensorFlow implementation of word2vec applied on https://www.kaggle.com/tamber/steam-video-games dataset, using both CBOW and Skip-gram.
Project solutions for Game AI lecture (Python), summer 2016
Misc game-related tweaks and tools that I tend to write
:video_game: A list of popular/awesome videos games, add-ons, maps, etc. hosted on GitHub. Any genre. Any platform. Any engine.
Draft of a paper and linear program solutions on prediction confidence using linear programming.
Deep Latent Gamma Model / Gamma VAE
Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
Tooling for GANs in TensorFlow
Learning to Avoid Errors in GANs by Input Space Manipulation (Code for paper)
Generate Faces using GANs (Part of Udacity's DLFND)
Reversing GAN image generation for similarity search and error/artifact fixing
Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.
Implementation of General Adversarial Nets using pytorch.
Since it is not currently compatible with the GANESTimator and Experiment, I will be working on it later.
Implement Generative Adversarial Nets by Tensorflow
Code for "On the Effects of Batch and Weight Normalization in Generative Adversarial Networks"
command line interface to Gandi.net products using the public API
Generative Adversarial Networks in Keras
starter from "How to Train a GAN?" at NIPS2016
wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch
Generative Adversarial Networks implemented in PyTorch and Tensorflow
GANs in slanted land
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.