albertipot Goto Github PK
Name: AlbertiPot
Type: User
Bio: ZJU, University of Waterloo, WHU and CQU. MS Azure and Alibaba DAMO AD Lab.
Name: AlbertiPot
Type: User
Bio: ZJU, University of Waterloo, WHU and CQU. MS Azure and Alibaba DAMO AD Lab.
A PyTorch implementation of the Transformer model in "Attention is All You Need".
code for "AttentiveNAS Improving Neural Architecture Search via Attentive Sampling"
Awesome Monocular 3D detection
A curated list of awesome neural radiance fields papers
official implementation of β-DARTS: Beta-Decay Regularization for Differentiable Architecture Search (CVPR22 oral).
Official code base of the BEVDet series .
This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
1. Weekly classified NeRF literature. 2. Non-official implementation of Block-NeRF and Mega-NeRF in Pytorch. 3. Train your large-scale NeRF in the wild.
Object detection, 3D detection, and pose estimation using center point detection:
bounding box annotations, python evaluation code, and a benchmark for CityPersons
Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
CoreNet: A library for training deep neural networks
[CVPR 2021] Contrastive Neural Architecture Search with Neural Architecture Comparators
Leaderboard B ranking
PyTorch package for the discrete VAE used for DALL·E.
Differentiable architecture search for convolutional and recurrent networks
[ICLR2021 Outstanding Paper] Rethinking Architecture Selection in Differentiable NAS
Author's implementation of 'Unsupervised Visual Representation Learning by Context Prediction'
DeepLabv3 and DeepLabv3+ with pretrained weights for Pascal VOC & Cityscapes
Efficient-Computing
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
A reimplement of Faster-rcnn with torchvision
Collection of common code that's shared among different research projects in FAIR computer vision team.
GBDT-NAS
Google Research
HiPlot makes understanding high dimensional data easy
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
Intro to Reinforcement Learning (强化学习纲要)
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.