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mldl's Projects

aofp icon aofp

Codes of Approximated Oracle Filter Pruning

aognet-v2 icon aognet-v2

Official implementation of AOGNets and Attentive Normalization.

ap-loss icon ap-loss

The implementation of "Towards accurate one-stage object detection with AP-loss" and its journal version.

apex icon apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

apollo icon apollo

An open autonomous driving platform

apollo-1 icon apollo-1

Apollo: An Adaptive Parameter-wise Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization

appnp icon appnp

A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).

apq icon apq

[CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy

arch-net icon arch-net

Arch-Net: Model Distillation for Architecture Agnostic Model Deployment

asl icon asl

Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper

asvit icon asvit

[ICLR 2022] "As-ViT: Auto-scaling Vision Transformers without Training" by Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wang, Denny Zhou

async-rl icon async-rl

Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)

atomnas icon atomnas

Code for ICLR 2020 paper 'AtomNAS: Fine-Grained End-to-End Neural Architecture Search'

attennorm icon attennorm

Attentive Normalization for Conditional Image Generation

attention-module icon attention-module

Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

augmix icon augmix

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

auto-attack icon auto-attack

Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"

auto-pytorch icon auto-pytorch

Automatic architecture search and hyperparameter optimization for PyTorch

autodeeplab icon autodeeplab

AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch

autogan icon autogan

[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang

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