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PL's Projects

madan icon madan

Pytorch Code release for our NeurIPS paper "Multi-source Domain Adaptation for Semantic Segmentation"

malsar icon malsar

Multi-task learning via Structural Regularization

maml icon maml

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

maskrcnn-benchmark icon maskrcnn-benchmark

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

mayo icon mayo

Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.

mdda icon mdda

Implementation of paper multi-source distilling domain adaptation

mdm icon mdm

A TensorFlow implementation of the Mnemonic Descent Method.

mean-teacher icon mean-teacher

A state-of-the-art semi-supervised method for image recognition

mentornet icon mentornet

Code for MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks

meta-learning-lstm icon meta-learning-lstm

This repo contains the source code accompanying a scientific paper with the same name.

mnasnet-pytorch icon mnasnet-pytorch

A PyTorch implementation of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile.

mnc icon mnc

Instance-aware Semantic Segmentation via Multi-task Network Cascades

moon icon moon

Model-Contrastive Federated Learning (CVPR 2021)

mtcnn icon mtcnn

MTCNN face detection implementation for TensorFlow, as a PIP package.

multi-modal-celeba-hq-dataset icon multi-modal-celeba-hq-dataset

[CVPR 2021] A large-scale face image dataset that allows text-to-image-generation, text-guided image manipulation, sketch-to-image generation, GANs for face generation and editing, image caption, and VQA.

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