tdhopper / Notes On Dirichlet Processes
Licence: mit
🎲 Notes explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation
Stars: ✭ 396
Labels
Projects that are alternatives of or similar to Notes On Dirichlet Processes
Deepnetsforeo
Deep networks for Earth Observation
Stars: ✭ 393 (-0.76%)
Mutual labels: jupyter-notebook
Open source demos
A collection of demos showcasing automated feature engineering and machine learning in diverse use cases
Stars: ✭ 391 (-1.26%)
Mutual labels: jupyter-notebook
Nmtpytorch
Sequence-to-Sequence Framework in PyTorch
Stars: ✭ 392 (-1.01%)
Mutual labels: jupyter-notebook
Megvii Pku Dl Course
Homepage for the joint course of Megvii Inc. and Peking University on Deep Learning.
Stars: ✭ 393 (-0.76%)
Mutual labels: jupyter-notebook
Graph transformer networks
Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
Stars: ✭ 387 (-2.27%)
Mutual labels: jupyter-notebook
Pytorch classification
利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码
Stars: ✭ 395 (-0.25%)
Mutual labels: jupyter-notebook
Zhihu Text Classification
[2017知乎看山杯 多标签 文本分类] ye组(第六名) 解题方案
Stars: ✭ 392 (-1.01%)
Mutual labels: jupyter-notebook
Motion Cosegmentation
Reference code for "Motion-supervised Co-Part Segmentation" paper
Stars: ✭ 393 (-0.76%)
Mutual labels: jupyter-notebook
Workshopscipy
A workshop for scientific computing in Python. ( December 2017 )
Stars: ✭ 391 (-1.26%)
Mutual labels: jupyter-notebook
Pattern classification
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
Stars: ✭ 3,880 (+879.8%)
Mutual labels: jupyter-notebook
Private Ai
Repo for Udacity's Secure & Private AI course
Stars: ✭ 391 (-1.26%)
Mutual labels: jupyter-notebook
Ephemera Miscellany
Ephemera and other documentation associated with the 1337list project.
Stars: ✭ 395 (-0.25%)
Mutual labels: jupyter-notebook
Comma2k19
A driving dataset for the development and validation of fused pose estimators and mapping algorithms
Stars: ✭ 391 (-1.26%)
Mutual labels: jupyter-notebook
Examples
Example deep learning projects that use wandb's features.
Stars: ✭ 391 (-1.26%)
Mutual labels: jupyter-notebook
Jupyter Renderers
Renderers and renderer extensions for JupyterLab
Stars: ✭ 395 (-0.25%)
Mutual labels: jupyter-notebook
Deep Learning Har
Convolutional and LSTM networks to classify human activity
Stars: ✭ 395 (-0.25%)
Mutual labels: jupyter-notebook
User Machine Learning Tutorial
useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html
Stars: ✭ 393 (-0.76%)
Mutual labels: jupyter-notebook
By Tim Hopper: tdhopper.com
Notes Nonparametric Bayesian Methods and Dirichlet Processes
I taught myself Dirichlet processes and Hierarchical DPs in the spring of 2015 in order to understand nonparametric Bayesian models and related inference algorithms. In the process, I wrote a bunch of code and took a bunch of notes. I preserved those notes here for the benefit of others trying to learn this material.
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].