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march's Projects

learningtocompare_fsl icon learningtocompare_fsl

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

lednet icon lednet

LEDNet: A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation

libcst icon libcst

A concrete syntax tree parser and serializer library for Python that preserves many aspects of Python's abstract syntax tree

lidar_ai_solution icon lidar_ai_solution

A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution, YUV2RGB, cuOSD,).

local-loss icon local-loss

PyTorch code for training neural networks without global back-propagation

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 Instance Segmentation and Object Detection algorithms in PyTorch.

mcmc icon mcmc

Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.

mean-teacher icon mean-teacher

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

medicaldetectiontoolkit icon medicaldetectiontoolkit

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

mentornet icon mentornet

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

meta-transfer-learning icon meta-transfer-learning

TensorFlow and PyTorch implementations of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

ml_gcn icon ml_gcn

PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.

mmcv icon mmcv

OpenMMLab Computer Vision Foundation

morphsnakes icon morphsnakes

Morphological snakes for image segmentation and tracking

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