Xiaomi AutoML

Xiaomi AI Lab, AutoML Team

Beijing

Pinned Repositories

FairDARTS
Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search
Language:Python172 8 035
FairNAS
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search
Language:Python303 16 857
FALSR
Fast, Accurate and Lightweight Super-Resolution models
Language:Python686 25 0139
MixPath
MixPath: A Unified Approach for One-shot Neural Architecture Search
Language:Python28 6 46
MoGA
MoGA: Searching Beyond MobileNetV3
Language:Python229 17 836
MoreMNAS
models for MoreMNAS
Language:Python29 2 01
NoisyDARTS
Noisy Differentiable Architecture Search
Language:Python23 7 40
SCARLET-NAS
Bridging the gap Between Stability and Scalability in Neural Architecture Search
Language:Python141 7 514

Xiaomi AutoML's Repositories

xiaomi-automl/FALSR
Fast, Accurate and Lightweight Super-Resolution models
Language:Python686 25 0139
xiaomi-automl/FairNAS
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search
Language:Python303 16 857
xiaomi-automl/MoGA
MoGA: Searching Beyond MobileNetV3
Language:Python229 17 836
xiaomi-automl/FairDARTS
Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search
Language:Python172 8 035
xiaomi-automl/SCARLET-NAS
Bridging the gap Between Stability and Scalability in Neural Architecture Search
Language:Python141 7 514
xiaomi-automl/MoreMNAS
models for MoreMNAS
Language:Python29 2 01
xiaomi-automl/MixPath
MixPath: A Unified Approach for One-shot Neural Architecture Search
Language:Python28 6 46
xiaomi-automl/NoisyDARTS
Noisy Differentiable Architecture Search
Language:Python23 7 40