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2021-cv-surveys

2021 年，计算机视觉相关综述。包括目标检测、跟踪........

awesome-pruning

A curated list of neural network pruning resources.

basic_cnns_tensorflow2

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

cvpr-2021-papers

cvpr2021-papers-with-code

CVPR 2021 论文和开源项目合集

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

ecanet

Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

eeglearn

A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

finn

Dataflow compiler for QNN inference on FPGAs

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

hrank

Pytorch implementation of our CVPR 2020 (Oral) -- HRank: Filter Pruning using High-Rank Feature Map

iccv2021-papers-with-code

ICCV 2021 论文和开源项目合集

machine-learning-yearning-cn

Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著

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-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

network-slimming

Network Slimming (Pytorch) (ICCV 2017)

nn_vis

A project for processing neural networks and rendering to gain insights on the architecture and parameters of a model through a decluttered representation.

numpy-ml

Machine learning, in numpy

ocrinaction

opencl-programming-examples

OpenCL Programming Examples

play-with-linear-algebra

Codes of my MOOC Course <Play with Linear Algebra>. Updated contents and practices are also included. 我在慕课网上的课程《玩转线性代数》示例代码，使用Python语言。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。

psocnn

Code to validate the "Particle swarm optimization of deep neural networks architectures for image classification" paper.

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pytorch_classification

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

spiking-cnn

Spiking Convolutional Neural Networks

torchcv

TorchCV: A PyTorch-Based Framework for Deep Learning in Computer Vision

vision

Datasets, Transforms and Models specific to Computer Vision