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learn-python3

Learn Python 3 Sample Code

learn-to-cluster

Learning to Cluster Faces (CVPR 2019, CVPR 2020)

leetcode

LeetCode题解，151道题完整版

lidar_rcnn

linear-programming-using-matlab

This book offers a theoretical and computational presentation of a variety of linear programming algorithms and methods with an emphasis on the revised simplex method and its components. A theoretical background and mathematical formulation is included for each algorithm as well as comprehensive numerical examples and corresponding MATLAB® code. The MATLAB® implementations presented in this book are sophisticated and allow users to find solutions to large-scale benchmark linear programs. Each algorithm is followed by a computational study on benchmark problems that analyze the computational behavior of the presented algorithms. As a solid companion to existing algorithmic-specific literature, this book will be useful to researchers, scientists, mathematical programmers, and students with a basic knowledge of linear algebra and calculus. The clear presentation enables the reader to understand and utilize all components of simplex-type methods, such as presolve techniques, scaling techniques, pivoting rules, basis update methods, and sensitivity analysis.

lnsnet

Pytorch Implementation of LNSNet for Superpixel Segmentation

lossyless

Generic image compressor for machine learning. Pytorch code for our paper "Lossy compression for lossless prediction".

m-lvc_cvpr2020

machine_learning_code_implementation

Mathematical derivation and pure Python code implementation of machine learning algorithms.

magnet

Graph neural network for image upscaling

matlab-bgl

A graph library for Matlab based on the boost graph library

matlab-deep-learning

Source code for 'MATLAB Deep Learning' by Phil Kim

matlab-tools

Collection of support scripts to read/write/process light field data

meshcnn

Convolutional Neural Network for 3D meshes in PyTorch

meshlab

The open source mesh processing system

meta-interpolation

Source code for CVPR 2020 paper "Scene-Adaptive Video Frame Interpolation via Meta-Learning"

mganet-dcc2020

PyTorch implementation of "MGANet & DCC2020 paper"

mitm6

pwning IPv4 via IPv6

mkl_fft

NumPy-based Python interface to Intel (R) MKL FFT functionality

moco-v3

PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057

models

Models built with TensorFlow

modern-cpp-tutorial

📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/

mpeg-pcc-tmc2

Video codec based point cloud compression (V-PCC) test model

nafnet

The state-of-the-art image restoration model without nonlinear activation functions.

natural-color-image-segmentation

A list of papers and datasets about natural/color image segmentation (processing)

neuralcompression

A collection of tools for neural compression enthusiasts.

neuralwavelet

Implementation for the paper "Learning Non-linear Wavelet Transformation via Normalizing Flow"(arXiv:2101.11306)

ngm-sentiment-analysis

Implementation of Neural Graph Machine inspired by the paper [2017 - Bui, Ravi Ramavajjala - Neural Graph Machines: Learning Neural Networks Using Graphs] (https://arxiv.org/abs/1703.04818) for binary Sentiment Analysis using the Large Movie Review Dataset. This is an optional project for a class in Advanced Algorithms and Parallel Programming

nic

End-to-End Learnt Image Compression Codec

nice