VincentSeven1's repositories
vision
Datasets, Transforms and Models specific to Computer Vision
finn
Dataflow compiler for QNN inference on FPGAs
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.
ICCV2021-Papers-with-Code
ICCV 2021 论文和开源项目合集
2021-CV-Surveys
2021 年，计算机视觉相关综述。包括目标检测、跟踪........
CVPR2021-Papers-with-Code
CVPR 2021 论文和开源项目合集
ECANet
Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
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
Awesome-Pruning
A curated list of neural network pruning resources.
HRank
Pytorch implementation of our CVPR 2020 (Oral) -- HRank: Filter Pruning using High-Rank Feature Map
ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
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.
torchcv
TorchCV: A PyTorch-Based Framework for Deep Learning in Computer Vision
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
network-slimming
Network Slimming (Pytorch) (ICCV 2017)
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
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。
numpy-ml
Machine learning, in numpy
psoCNN
Code to validate the "Particle swarm optimization of deep neural networks architectures for image classification" paper.
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
Basic_CNNs_TensorFlow2
A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
EEGLearn
A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.
machine-learning-yearning-cn
Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著
Spiking-CNN
Spiking Convolutional Neural Networks
OpenCL-Programming-Examples
OpenCL Programming Examples