There are 6 repositories under tsne topic.
Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
Parallel t-SNE implementation with Python and Torch wrappers.
Extensible, parallel implementations of t-SNE
Java Statistical Analysis Tool, a Java library for Machine Learning
food image to recipe with deep convolutional neural networks.
Pytorch implementation for t-SNE with cuda to accelerate
Brings bulk and pseudobulk transcriptomics to the tidyverse
Seurat meets tidyverse. The best of both worlds.
用Tensorflow实现的深度神经网络。
Object classification with CIFAR-10 using transfer learning
Python Wrapper for t-SNE Visualization
Deep Learning: Image classification, feature visualization and transfer learning with Keras
Explore high-dimensional datasets and how your algo handles specific regions.
An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals and researchers to find relevant research articles.
Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.
Google News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.
create "Karpathy's style" 2d images out of your image embeddings
A python wrapper for Barnes-Hut tsne: for Python >= 3.5
PyTorch implementation of the Word2Vec (Skip-Gram Model) and visualizing the trained embeddings using TSNE
Scripts demo-ing how to train a Word2Vec model and reduce its vector space
Benchmarking continual learning techniques for Human Activity Recognition data. We offer interesting insights on how the performance techniques vary with a domain other than images.
Unsupervised clustering of movie posters with features extracted from Convolutional Neural Network
Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review
R wrappers to connect Python dimensional reduction tools and single cell data objects (Seurat, SingleCellExperiment, etc...)
C# library for fast embeddings projection using Uniform Manifold Approximation and Projection
pytorch implement of Label Smoothing
A tidyverse suite for (pre-) machine-learning: cluster, PCA, permute, impute, rotate, redundancy, triangular, smart-subset, abundant and variable features.
This repo contains a series of notebook to arrange cultural artifacts and explore patters in metadata. 🎨
Playing with MNIST. Machine Learning. Generative Models.
scGEAToolbox: Matlab toolbox for single-cell gene expression analyses