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permute-quantize-finetune

Using ideas from product quantization for state-of-the-art neural network compression.

powergear

PowerGear: Early-Stage Power Estimation in FPGA HLS via Heterogeneous Edge-Centric GNNs

pq-fast-scan

PQ Fast Scan

pretrain-gnns

Strategies for Pre-training Graph Neural Networks

pretrained-language-model

Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.

pretrained-models.pytorch

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

pyhessian

PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

pyhgt

Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

pyramidnet-pytorch

A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)

python-cookbook

Code samples from the "Python Cookbook, 3rd Edition", published by O'Reilly & Associates, May, 2013.

python3-cookbook-book-

《Python Cookbook》 3rd Edition Translation

pytorch-deeplab-xception

DeepLab v3+ model in PyTorch. Support different backbones.

pytorch-encoding

A CV toolkit for my papers.

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

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

pytorch-openai-transformer-lm

🐥A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI

pytorch-unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

pytorch-vector-quantization

A Pytorch Implementations for Various Vector Quantization Methods

pytorch-vqvae

Vector Quantized VAEs - PyTorch Implementation

pytorch2caffe

Convert PyTorch model to Caffemodel

pytorch_geometric

Graph Neural Network Library for PyTorch

pytorch_retinaface

Retinaface get 80.99% in widerface hard val using mobilenet0.25.

quant-pack

[Ongoing Project] Codebase for network quantization study.

quantized-nets

Contains code for Binary, Ternary, N-bit Quantized and Hybrid CNNs for low precision experiments.

quantizedneuralnetworks-keras-tensorflow

Quantized Neural Networks - networks trained for inference at arbitrary low precision.

quantorch

PyTorch implementation of "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"

r2d2

rans-uncertainty

Uncertainty Quantification of RANS Data-Driven Turbulence Modeling

repmlp

RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition

repvgg

RepVGG: Making VGG-style ConvNets Great Again