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academic-kickstart

albumentations

Fast image augmentation library and easy to use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about library: https://www.mdpi.com/2078-2489/11/2/125

bilinear-cnn

PyTorch implementation of bilinear CNN for fine-grained image recognition

cv_paper

📚 计算机视觉相关论文整理、记录

data-science-notebook

:book: 每一个伟大的**和行动都有一个微不足道的开始

hello-world

first project

micronet

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

mmclassification

OpenMMLab Image Classification Toolbox and Benchmark

prepare_detection_dataset

convert dataset to coco/voc format

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

pytorch-distributed

A quickstart and benchmark for pytorch distributed training.

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

testgit

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

vision

Datasets, Transforms and Models specific to Computer Vision

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch