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Implementation of Deeplearning library based on my book https://leonardoaraujosantos.gitbooks.io/artificial-inteligence/content/
Matlab implementation of the ECO tracker.
Example code for the book Fluent Python
An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
A Chinese Nature Language Toolkit
Google Deep Learning Notes(TensorFlow教程)
Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
My notes on good papers
Learning Object Detection from Scratch with Gated Recurrent Feature Pyramids
Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"
Chinese Handwriting Recognition with CNNs
TensorFlow implementation of Independently Recurrent Neural Networks
C++ implementation of LSTM (Long Short Term Memory), in Kaldi's nnet1 framework. Used for automatic speech recognition, possibly language modeling etc, the training can be switched between CPU and GPU(CUDA). This repo is now merged into official Kaldi codebase(Karel's setup), so this repo is no longer maintained, please check out the Kaldi project instead.
A collection of LaTeX templates used for research, courses, and miscellanea.
Generate beautiful plots for LaTeX using your existing matplotlib-based code.
Torch implementation of CVPR'17 - Local Binary Convolutional Neural Networks http://xujuefei.com/lbcnn.html
Simple examples on tensorflow
Capturing Structure Implicitly from Noisy Time-Series having Limited Data
Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
Stanford Machine Learning course exercises implemented with scikit-learn
A curated list of Machine Learning Surveys, Tutorials and Books.
CHINESE TRANSLATION OF MACHINE LEARNING YEARNING BY ANDREW NG
Multivariate LSTM Fully Convolutional Networks for Time Series Classification
Multiple objects tracker using openCV and dlib
This repo contains all the TensorFlow tutorials from my Youtube
learn about python
Welcome to the Academy of Arts
This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using Keras on top of Tensor Flow
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.