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automl

Google Brain AutoML

bamboo

Bamboo: 4 times larger than ImageNet; 2 time larger than Object365; Built by active learning.

caffe-fast-rcnn

Caffe fork that supports Fast R-CNN

darknet

Convolutional Neural Networks

deep-learning-coursera

Deep Learning Specialization by Andrew Ng, deeplearning.ai.

deepmask

Torch implementation of DeepMask and SharpMask

detectron2

Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.

dimensionality_reduction_alo_codes

特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现

django

The Web framework for perfectionists with deadlines.

dynamicvit

DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification

efficientnetv2.pytorch

PyTorch implementation of EfficientNetV2 family

few-shot

foodseg103-benchmark-v1

github-slideshow

A robot powered training repository :robot:

google-research

Google Research

guide-getting-started

An introductory guide to writing and deploying applications on Open Liberty using Maven and Docker: https://openliberty.io/guides/getting-started.html

image-classification-cifar10-tf

Simple Image Classification Models for the CIFAR-10 dataset using TensorFlow

imagenet21k

Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper

keras-grad-cam

An implementation of Grad-CAM with keras

maskrcnn-benchmark

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

mentormix_pytorch

[MentorMix] "Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels" implemented in the PyTorch version.

meta-transfer-learning

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

meta-weight-net

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

meta-weight-net_class-imbalance

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

mlnt

Meta-Learning based Noise-Tolerant Training

mmcv

OpenMMLab Computer Vision Foundation

nnunet

o2u-net

paper "O2U-Net: A Simple Noisy Label Detection Approach for Deep Neural Networks" code

omniglot

Omniglot data set for one-shot learning

paddleocr

Awesome multilingual OCR toolkits based on PaddlePaddle （multilingual recognition: English, Chinese, Korean, Japanese, German, French etc. 3.5M practical ultra lightweight OCR system, support training and deployment among server, mobile, embedded and IoT devices）