dkobak / Finer Tsne
Code for the paper on t-SNE with variable degree of freedom
Stars: ✭ 22
Labels
Projects that are alternatives of or similar to Finer Tsne
Breast Cancer Prediction
Predicting the probability that a diagnosed breast cancer case is malignant or benign based on Wisconsin dataset
Stars: ✭ 19 (-13.64%)
Mutual labels: jupyter-notebook
Fssgi
Exploratory Project on Fast Screen Space Global Illumination
Stars: ✭ 22 (+0%)
Mutual labels: jupyter-notebook
Machinelearning
Machine learning algorithms implemented by pure numpy
Stars: ✭ 905 (+4013.64%)
Mutual labels: jupyter-notebook
Pyncov 19
Pyncov-19: Learn and predict the spread of COVID-19
Stars: ✭ 20 (-9.09%)
Mutual labels: jupyter-notebook
Open source trading talk
How to make a trading strategy with open source Python tools
Stars: ✭ 19 (-13.64%)
Mutual labels: jupyter-notebook
Python Zero To Hero Beginners Course
Materials for a Python Beginner's Course. First given at the Royal Society of Biology. Designed and delivered by Chas Nelson and Mikolaj Kundegorski.
Stars: ✭ 22 (+0%)
Mutual labels: jupyter-notebook
Blog
A collection of resources and Jupyter notebooks from my blog.
Stars: ✭ 19 (-13.64%)
Mutual labels: jupyter-notebook
Spark Scala Tutorial
A free tutorial for Apache Spark.
Stars: ✭ 907 (+4022.73%)
Mutual labels: jupyter-notebook
Machinelearningexp
MachineLearningExp.com projects
Stars: ✭ 19 (-13.64%)
Mutual labels: jupyter-notebook
Aind Constraint satisfaction
Constraint Satisfaction Problem lab to solve the N-Queens problem
Stars: ✭ 19 (-13.64%)
Mutual labels: jupyter-notebook
Cose474
COSE474: Deep Learning @ Korea University
Stars: ✭ 20 (-9.09%)
Mutual labels: jupyter-notebook
Scite
Causality Extraction based on Self-Attentive BiLSTM-CRF with Transferred Embeddings
Stars: ✭ 22 (+0%)
Mutual labels: jupyter-notebook
Pandas Formats Benchmark
A little benchmark comparing Pandas data frames serialization formats
Stars: ✭ 18 (-18.18%)
Mutual labels: jupyter-notebook
Recommendation System Practice Notes
《推荐系统实践》代码与读书笔记，在线阅读地址：https://relph1119.github.io/recommendation-system-practice-notes
Stars: ✭ 22 (+0%)
Mutual labels: jupyter-notebook
Heavy-tailed kernels reveal a finer cluster structure in t-SNE visualisations
Dmitry Kobak, George Linderman, Stefan Steinerberger, Yuval Kluger, Philipp Berens
https://link.springer.com/chapter/10.1007/978-3-030-46150-8_8
This is a companion repository to our ECML-2019 paper. All code for the paper is in a Python Jupyter notebook heavy-tailed-tsne.ipynb. We use this t-SNE implementation: https://github.com/KlugerLab/FIt-SNE, version 1.1.0.
For any technical questions, please start an Issue.
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].