jqzhang's starred repositories
deeplearningbook-chinese
Deep Learning Book Chinese Translation
pumpkin-book
《机器学习》(西瓜书)公式详解
PlotNeuralNet
Latex code for making neural networks diagrams
pytorch-OpCounter
Count the MACs / FLOPs of your PyTorch model.
tensorwatch
Debugging, monitoring and visualization for Python Machine Learning and Data Science
pytorchviz
A small package to create visualizations of PyTorch execution graphs
Job-Recommend
🔎 互联网内推信息(社招、校招、实习)
BilibiliAPIDocs
哔哩哔哩开放接口第三方文档(仅提供官方曾公开接口)
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
pydensecrf
Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.
Unet-Segmentation-Pytorch-Nest-of-Unets
Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet
awesome-AIOps
AIOps学习资料汇总,欢迎一起补全这个仓库,欢迎star
pytorch-mobilenet-v2
A PyTorch implementation of MobileNet V2 architecture and pretrained model.
Efficient-Segmentation-Networks
Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)
mobile-semantic-segmentation
Real-Time Semantic Segmentation in Mobile device
pytorch-segmentation
PyTorch implementation for semantic segmentation (DeepLabV3+, UNet, etc.)
DeepLabv3_MobileNetv2_PyTorch
A PyTorch Implementation of MobileNetv2+DeepLabv3
flask-rest-setup
Notes on Flask REST API and tutorial
depth_estimation_with_densenet-unet_hybrid
Depth estimation from RGB images using a DenseNet based deep model.
time-series-api-docker
Sample time series api using python, flask, fbprophet, and docker.