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PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
label-smooth, amsoftmax, focal-loss, triplet-loss. Maybe useful
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.
Word Embedding + LSTM + FC
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
pytorch structural similarity (SSIM) loss
PyTorch Tutorial for Deep Learning Researchers
Build your neural network easy and fast
PyTorch implementation of VQ-VAE by Aäron van den Oord et al.
Vector Quantized VAEs - PyTorch Implementation
一条命令产生bert、albert句向量,用于相似度计算和文本分类等。
PyTorch Extension Library of Optimized Graph Cluster Algorithms
convolutional lstm implementation in pytorch
Fast and accurate face landmark detection library using PyTorch; Support 68-point semi-frontal and 39-point profile landmark detection; Support both coordinate-based and heatmap-based inference; Up to 100 FPS landmark inference speed with SOTA face detector on CPU.
Geometric Deep Learning Extension Library for PyTorch
Retinaface get 80.99% in widerface hard val using mobilenet0.25.
Pytorch implementation of a StyleGAN encoder. Images to latent space representation.
《Pytorch模型训练实用教程》中配套代码
PyTorch 1.0 Tutorial
PyTorch 官方中文教程包含 60 分钟快速入门教程,强化教程,计算机视觉,自然语言处理,生成对抗网络,强化学习。欢迎 Star,Fork!
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info
1st Place Solution for Zhihu Machine Learning Challenge . Implementation of various text-classification models.(知乎看山杯第一名解决方案)
Simple PyTorch Tutorials Zero to ALL!
使用深度学习算法实现的中文问答系统
A Tensorflow implementation of QANet for machine reading comprehension
Qihoo Distributed Configuration Management System
qemu-arm-linux
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.