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DeepLabv3.pytorch

PyTorch implementation of DeepLabv3

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pytorch-deeplab-xception

DeepLab v3+ model in PyTorch. Support different backbones.

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pytorch-retinanet

Pytorch implementation of RetinaNet object detection.

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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

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resnet50-quantization

Resnet50 Quantization for Inference Speedup in PyTorch

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FQ-ViT

[IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer

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deit

Official DeiT repository

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smiley-sans

得意黑 Smiley Sans：一款在人文观感和几何特征中寻找平衡的中文黑体

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tensorflow-handbook

简单粗暴 TensorFlow 2 | A Concise Handbook of TensorFlow 2 | 一本简明的 TensorFlow 2 入门指导教程

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YOLOv3_TensorFlow

Complete YOLO v3 TensorFlow implementation. Support training on your own dataset.

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quantized.pytorch

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FracTrain

[NeurIPS 2020] "FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training" by Yonggan Fu, Haoran You, Yang Zhao, Yue Wang, Chaojian Li, Kailash Gopalakrishnan, Zhangyang Wang, Yingyan Lin

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