Deep Learning API and Server in C++11 support for Caffe, Caffe2, 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.

Distributed t-SNE via Apache Spark

t-Distributed Stochastic Neighbor Embedding (t-SNE) in Go

Object classification with CIFAR-10 using transfer learning

Explore high-dimensional datasets and how your algo handles specific regions.

用Tensorflow实现的深度神经网络。

Python Wrapper for t-SNE Visualization

Deep Learning: Image classification, feature visualization and transfer learning with Keras

tsne visualization of images in a square grid

Behavioral segmentation of open field in DeepLabCut, or B-SOID ("B-side"), is an unsupervised learning algorithm written in MATLAB and Python that serves to discover behaviors that are not pre-defined by users.

A python wrapper for Barnes-Hut tsne: for Python >= 3.5

Brings transcriptomics to the tidyverse

An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals to find relevant research articles, and respond to rapidly spreading COVID-19 promptly.

Unsupervised clustering of movie posters with features extracted from Convolutional Neural Network

Google News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.

Scripts demo-ing how to train a Word2Vec model and reduce its vector space

create "Karpathy's style" 2d images out of your image embeddings

Single Cell Analysis course at Cold Spring Harbor Laboratory 2017

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

Project Dense Vectors Text Representation on 2D Plan

Playing with MNIST. Machine Learning. Generative Models.

pytorch implement of Label Smoothing

Stochastic Neighbor Embedding Experiments in R

ProtVec can be used in protein interaction predictions, structure prediction, and protein data visualization.

A tidyverse suite for (pre-) machine-learning: cluster, PCA, permute, impute, rotate, redundancy, triangular, smart-subset, abundant and variable features.