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Name: wzb
Type: User
Name: wzb
Type: User
Using ideas from product quantization for state-of-the-art neural network compression.
PowerGear: Early-Stage Power Estimation in FPGA HLS via Heterogeneous Edge-Centric GNNs
PQ Fast Scan
Strategies for Pre-training Graph Neural Networks
Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)
Code samples from the "Python Cookbook, 3rd Edition", published by O'Reilly & Associates, May, 2013.
《Python Cookbook》 3rd Edition Translation
DeepLab v3+ model in PyTorch. Support different backbones.
A CV toolkit for my papers.
PyTorch implementations of Generative Adversarial Networks.
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more
🐥A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
A Pytorch Implementations for Various Vector Quantization Methods
Vector Quantized VAEs - PyTorch Implementation
Convert PyTorch model to Caffemodel
Graph Neural Network Library for PyTorch
Retinaface get 80.99% in widerface hard val using mobilenet0.25.
[Ongoing Project] Codebase for network quantization study.
Contains code for Binary, Ternary, N-bit Quantized and Hybrid CNNs for low precision experiments.
Quantized Neural Networks - networks trained for inference at arbitrary low precision.
PyTorch implementation of "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"
Uncertainty Quantification of RANS Data-Driven Turbulence Modeling
RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition
RepVGG: Making VGG-style ConvNets Great Again
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.