an open-source implementation of sequence-to-sequence based speech processing engine

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"

Code release for "Canonical Surface Mapping via Geometric Cycle Consistency"

Khiops is an AutoML suite for supervised and unsupervised learning

code repo for paper Unsupervised Learning for Solving the Travelling Salesman Problem

Code to speed up k-means clustering. Originally at BaylorCS/baylorml.

Caffe implementation for "Guided Optical Flow Learning"

SOINN / 聚类 / 无监督聚类 / 快速 / clustering / unsupervised clustering / fast

This repository provides code for SVD and Importance sampling-based algorithms for large scale topic modeling.

Probabilistic structure discovery for rich relational systems

An unsupervised Chinese word segmentation tool.

🧠 💡 📈 A project based in High Performance Computing. This project was built using CUDA (Compute Unified Device Architecture), C++ (C Plus Plus), C, CMake and JetBrains CLion. The scenario of the project was a GPU-based implementation of the Self-Organising-Maps (S.O.M.) algorithm for Artificial Neural Networks (A.N.N.), with the support of CUDA …

Machine Learning Algorithms used to predict which candidate a county voted for based on 9 distinct attributes such as population size and density

LiDAR obstacle detection using Voxel Grids, RANSAC, Euclidean Clustering with Kd-Tree in C++ using PCL.

Camera Trace Erasing in CVPR 2020

A KMeans implemented in C++ with Python bindings and GPU acceleration

A self-organizing feature map which is trained on a random three-dimensional (RGB) input space.

DAOR Parameter-free Embedding Framework for Large Graphs (Networks)