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A recipe to study Graph Neural Networks (GNNs)
TensorFlow implementation of GoogLeNet and Inception for image classification.
On-policy first-visit MC control (for epsilon-greedy policies)
A toolkit for developing and comparing reinforcement learning algorithms.
C++17 templates between [stl::vector | armadillo | eigen3 | ublas | blitz++] and HDF5 datasets
Hands-on Exploratory Data Analysis with Python, published by Packt
Hands-On Machine Learning with C++, published by Packt
XGBoost와 사이킷런으로 배우는 그레이디언트 부스팅
OpenCV matrices to HDF5 datasets and vice versa
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
Converting images to numpy files
Inception v3 in Keras: Re-implementation of Inception-v3 official tensorflow version
Implementation of Google's Inception + ResNet v2 architecture in Keras
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Deep Learning for humans
Keras-tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation(Unfinished)
Fine tuning inception v3 on Kaggle dogs-vs-cats dataset
Keras implementations of Generative Adversarial Networks.
Keras Implementation of Google's Inception-V4 Architecture (includes Keras compatible pre-trained weights)
Keras implementation of m2det object detection.
Porting Keras neural network model to C++
Residual networks implementation using Keras-1.0 functional API
Keras implementation of RetinaNet object detection.
Test data for keras-retinanet.
Using tensorboard with keras
How to convert trained Keras model to a single TensorFlow .pb file and make prediction
A Keras implementation of YOLOv3 (Tensorflow backend)
This is a bunch of code to port Keras neural network model into pure C++.
it's a small library for running trained Keras 2 models from a native C++ code.
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.