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BigGAN; Knowledge Distillation; Black-Box; Fast Training; 16x compression
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
convert ai city challenge dataset to COCO format
Code for "Adversarial-Learned Loss for Domain Adaptation"(AAAI2020) in PyTorch.
数据结构和算法必知必会的50个代码实现
Anomaly detection related books, papers, videos, and toolboxes
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
Band Selection
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Awesome-pytorch-list 翻译工作进行中......
Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]
This project provides an implementation for "Background Learning Based on Target Suppression Constraint for Hyperspectral Target Detection"
Object detection, 3D detection, and pose estimation using center point detection:
An easy to understand and better performance version of CenterNet
( CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation
source code to ICLR'19, 'A Closer Look at Few-shot Classification'
A pytorch implementation of paper "Transferred Deep Learning for Anomaly Detection in Hyperspectral Imagery"
Colossal-AI: A Unified Deep Learning System for Large-Scale Parallel Training
Compare two version of an arXiv preprint with a single command.
this is the pytorch version of Conditional Generative Adversarial Nets
The official PyTorch implementation of paper Exploring Categorical Regularization for Domain Adaptive Object Detection (CR-DA-DET)
My solutions to the problem sets of Stanford cs229, 2018
Learning Deep Representations of Fine-grained Visual Descriptions
cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集,极市团队整理
Code release for Discriminative Adversarial Domain Adaptation (AAAI2020).
A pytorch implementation of "Domain-Adaptive Few-Shot Learning"
code for deep learning courses
Deep learning toolbox based on PyTorch for hyperspectral data classification.
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.