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isda-for-deep-networks

An efficient implicit semantic augmentation method, complementary to existing non-semantic techniques.

keras

Deep Learning for humans

keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

keras-yolo3-detection

YOLO v3 目标检测算法 源码

keras_reid

Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identification

labelimg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

las-at

Code for LAS-AT: Adversarial Training with Learnable Attack Strategy (CVPR2022)

learningtocompare_fsl

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

learningtocompare_zsl

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

leastereo

An end-to-end nas stereo matching network.

lectures

Oxford Deep NLP 2017 course

ltc

Long-term Temporal Convolutions for Action Recognition, TPAMI 2018

machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

machinelearning

mae-pytorch

Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

maml

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

maml-pytorch

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

mask_rcnn

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

matchingnetworks

This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and MiniImageNet dataset

meta-weight-net

NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).

metric-learn

Metric learning algorithms in Python

metriclearningbench

Metric learning models in PyTorch with results on CUB2011, CARS196, Stanford Online Products

mgaa

The code of ICCV2021 paper "Meta Gradient Adversarial Attack"

ml-agents

Unity Machine Learning Agents Toolkit

mlsh

mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

mmskeleton

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

mmt-old

Multi-Modal Transformer for Video Retrieval

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

models

Models built with TensorFlow