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Type: Organization
Type: Organization
The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) that I have written in my website. Especially, Natural Language Processing, Statistical Machine Learning, and Deep Reinforcement Learning are main topics.
Learning active learning policy with deep imitation learning
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
Curated list of 2vec-type embedding models
Drawing Bayesian networks, graphical models and framework with LaTeX.
Mapping a variable-length sentence to a fixed-length vector using pretrained BERT model
Convolutional Neural Network for Text Classification in Tensorflow
NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
ConText v4: Neural networks for text categorization
《动手学深度学习》
Deep Learning with Python 中文翻译
Deep Learning Tutorial notes and code. See the wiki for more info.
DeepPose implementation in Chainer
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Deformable Convolutional Networks
Code for paper "Dimensionality-Driven Learning with Noisy Labels" - ICML 2018
Convolutional Neural Network based regression approach for estimating machinery's remaining useful life
Library for fast text representation and classification.
starter from "How to Train a GAN?" at NIPS2016
Gaussian Mixture Model (GMM) and Gaussian Mixture Regression (GMR) implemented purely on numpy
This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
The EM Algorithm for Gaussian Mixtures
Gaussian Mixture Regression
Gaussian processes framework in python
Code for experiments regarding importance sampling for training neural networks
code for the paper "Improved Techniques for Training GANs"
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.
keras extended library
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.