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ml-lab's Projects

magnet-1 icon magnet-1

Deep Learning Projects that Build Themselves

magnetloss-pytorch icon magnetloss-pytorch

PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR).

magnitude icon magnitude

A fast, efficient universal vector embedding utility package.

magpie icon magpie

Deep neural network framework for multi-label text classification

make-sense icon make-sense

Free to use online tool for labelling photos. https://makesense.ai

malmo icon malmo

Project Malmo is a platform for Artificial Intelligence experimentation and research built on top of Minecraft. We aim to inspire a new generation of research into challenging new problems presented by this unique environment. --- For installation instructions, scroll down to *Getting Started* below, or visit the project page for more information:

maml icon maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

maml-pytorch icon maml-pytorch

PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

manifold icon manifold

A model-agnostic visual debugging tool for machine learning

manifold-1 icon manifold-1

Convert any Triangle Mesh to Watertight Manifold

manopth icon manopth

MANO layer for PyTorch, generating hand meshes as a differentiable layer

map icon map

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

mar icon mar

Pytorch code for our CVPR'19 work: MAR (MultilAbel Reference learning)

mariokart64neat icon mariokart64neat

NEAT implementation in Lua for Mario Kart 64 and the BizHawk emulator

marl-papers icon marl-papers

Paper list of multi-agent reinforcement learning (MARL)

marta-gan icon marta-gan

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

mash icon mash

Fast genome and metagenome distance estimation using MinHash

mask_rcnn icon mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

maskrcnn-benchmark icon maskrcnn-benchmark

Fast, modular reference implementation of Semantic Segmentation and Object Detection algorithms in PyTorch.

massivedatans icon massivedatans

Big Data vs. complex physical models - a scalable nested sampling inference algorithm for many data sets

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