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mask2former

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

mask_attention_transformer

Simple attention APIs for masked attention in transformers.

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

mcquic

Repository of CVPR'22 paper "Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression"

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"

minkowskiengine

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

mitm6

pwning IPv4 via IPv6

mkl_fft

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

mlic

[ACMMM 2023 / NCW ICML 2023] MLIC: Multi-Reference Entropy Model for Learned Image Compression / MLIC++: Linear Complexity Multi-Reference Entropy Modeling for Learned Image Compression

mmagic

OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.

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)

neural-flows-experiments

Experiments for Neural Flows paper

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)

neurbf

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

non-root-user-builds-glibc-2.32

"bison --yacc --name-prefix=__gettext --output plural.c plural.y" loads to "bison: m4 subprocess failed: permission denied."

ntire2017

Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"