From: https://medium.com/rapids-ai/tsne-with-gpus-hours-to-seconds-9d9c17c941db Figure 1. cuML TSNE on MNIST Fashion takes 3 seconds. Scikit-Learn takes 1 hour. TSNE (T-Distributed Stochastic Neighbor Embedding) is a popular unsupervised dimensionality reduction algorithm that finds uses as varied as neurology, image similarity, and visualizing neural networks. Unfortunately, its biggest drawback has been the long processing times in most available implementations. RAPIDS now provides fast GPU-accelerated TSNE, … Continue reading Accelerating TSNE with GPUs: From hours to seconds →