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Type: Organization
Type: Organization
pip install antialiased-cnns to improve stability and accuracy
Implementation of the Belief State Encoder / Decoder in the new breakthrough robotics paper from ETH Zürich
Codes of Approximated Oracle Filter Pruning
Official implementation of AOGNets and Attentive Normalization.
The implementation of "Towards accurate one-stage object detection with AP-loss" and its journal version.
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
An open autonomous driving platform
Apollo: An Adaptive Parameter-wise Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
[CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
Arch-Net: Model Distillation for Architecture Agnostic Model Deployment
ASCL: adpative Soft Contrastive Learning
Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper
[ICLR 2022] "As-ViT: Auto-scaling Vision Transformers without Training" by Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wang, Denny Zhou
Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)
Code for ICLR 2020 paper 'AtomNAS: Fine-Grained End-to-End Neural Architecture Search'
Attentive Normalization for Conditional Image Generation
Implementing Attention Augmented Convolutional Networks using Pytorch
Implementation of various attention mechanisms
Official implementation for (Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching, AAAI-2021)
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
Automatic architecture search and hyperparameter optimization for PyTorch
AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch
Automated deep learning algorithms implemented in PyTorch.
[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang
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.