There are 4 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.
GPU Accelerated t-SNE for CUDA with Python bindings
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.
t-Distributed Stochastic Neighbor Embedding (t-SNE) in Go
Pytorch implementation for t-SNE with cuda to accelerate
Object classification with CIFAR-10 using transfer learning
Brings transcriptomics to the tidyverse
Explore high-dimensional datasets and how your algo handles specific regions.
Python Wrapper for t-SNE Visualization
Deep Learning: Image classification, feature visualization and transfer learning with Keras
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.
Seurat meets tidyverse. The best of both worlds.
Google News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.
A python wrapper for Barnes-Hut tsne: for Python >= 3.5
create "Karpathy's style" 2d images out of your image embeddings
Scripts demo-ing how to train a Word2Vec model and reduce its vector space
Unsupervised clustering of movie posters with features extracted from Convolutional Neural Network
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.
PyTorch implementation of the Word2Vec (Skip-Gram Model) and visualizing the trained embeddings using TSNE
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.
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...)
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.
ProtVec can be used in protein interaction predictions, structure prediction, and protein data visualization.
Single Cell Analysis course at Cold Spring Harbor Laboratory 2017
Playing with MNIST. Machine Learning. Generative Models.
Project Dense Vectors Text Representation on 2D Plan
C# library for fast embeddings projection using Uniform Manifold Approximation and Projection
Use your classification neural network for object detection and localization
Autoencoder t-SNE for anomaly detection in aircraft trajectories