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
"NASNet" models in Keras 2.0+ with weights
A skeleton for creating a neuro-evolution reinforcement learning trading bot with a Keras neural network.
Industry-strength Natural Language Processing workflows with Keras
Keras implementation of Non-local Neural Networks
A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.
Implementation of the PoseNet Architecture in Keras
Utilities for working with image data, text data, and sequence data.
Keras package for region-based convolutional neural networks (RCNNs)
Using Keras to implement recommender systems
Keras Reinforcement Learning Projects published by Packt
:bullettrain_side: Residual wrapper for Keras
Residual networks implementation using Keras-1.0 functional API
Implementation of ResNeXt models from the paper Aggregated Residual Transformations for Deep Neural Networks in Keras 2.0+.
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
A very simple project to create a rest backend for serving a neural network model based on keras
Keras implementation of RetinaNet object detection.
Deep Reinforcement Learning for Keras.
Trained models for keras-rl.
An implementation of a sequence to sequence neural network using an encoder-decoder
Toy Keras implementation of a seq2seq model with examples.
Implementation in Keras of ShuffleNet (https://arxiv.org/abs/1707.01083)
Implementation in Keras of: Snapshot Ensembles: Train 1, get M for free (https://arxiv.org/abs/1704.00109)
Keras Implementation of SparseNets
Using Spatial Transformer Layer with keras (theano backend).
Spatial pyramid pooling layers for keras
Implementation of Squeeze and Excitation Networks in Keras
Implementation in Keras of Squeeze and Excitation (https://arxiv.org/abs/1709.01507)
Pretrained Squeezenet 1.1 implementation in Keras
Implementation of Simple Recurrent Unit in Keras
Visualizations for understanding the regressed wheel steering angle for self driving cars
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.