yalunar
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A latent text-to-image diffusion model
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
A collection of various deep learning architectures, models, and tips
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
PRML algorithms implemented in Python
My blogs and code for machine learning. http://cnblogs.com/pinard
Repo for the Deep Learning Nanodegree Foundations program.
该仓库尝试整理推荐系统领域的一些经典算法模型
Visualization Toolbox for Long Short Term Memory networks (LSTMs)
Implementation of various topic models
Tensorflow implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)
MLSS 2018 Madrid lecture materials on Generative Adversarial Networks (GANs)
keras attentional bi-LSTM-CRF for Joint NLU (slot-filling and intent detection) with ATIS
Code for "Online and Linear Time Attention by Enforcing Monotonic Alignments"
it contains all my python demo code accompanying my machine learning notes
Tree Structured LSTM model for sentence level aspect based sentiment analysis
TensorFlow and Numpy implementation of sparsemax