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Implemented 3 different architectures to tackle the Image Caption problem, i.e, Merged Encoder-Decoder - Bahdanau Attention - Transformers
Instrumented Principal Components Analysis
A friendly python package for Keras Hyperparameters Tuning based only on NumPy and hyperopt.
2019年百度的三元组抽取比赛,“科学空间队”源码
LambdaRank Neural Network model using Keras.
Learning to rank with neuralnet - RankNet and ListNet
Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
将Linux现常用的网络加速集成在一起
Implementation of the listwise Learning to Rank algorithm described in the paper by Zhe Cao, Tao Qin, Tie-Yan Liu, Ming-Feng Tsai, and Hang Li "Learning to rank: from pairwise approach to listwise approach"
Minimal, clean example of lstm neural network training in python, for learning purposes.
A matlab version of lng short term memory
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(2000+页)和视频链接
Mathematical derivation and pure Python code implementation of machine learning algorithms.
Top Machine Learning Algorithms Detailed in Python and Preprocessing for Machine Learning
Bayesian estimation of GARCH models using MCMC
Python implementation of adaptive MCMC methods for Bayesian inversion
Use Markov Chain Monte Carlo (MCMC) method to fit Garch models
Using MCMC and VB to estimate GARCH(1,1) volatility model
The theory and implement of Metropolis Hastings Algorithm and Gibbs sampling
MCMC toolbox for Matlab
Repository containing notebooks of my posts on Medium
Metropolis Hastings Algorithm in C and Python
A Python port of Dr. Kevin Sheppards MFE Toolbox
An R package for using mixed-frequency GARCH models
Metropolis-Hastings GAN in Tensorflow for enhanced generator sampling
R package: monotonicity
基于最小熵原理的NLP工具包
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.