Topic: "quantized-training"
tensorflow/model-optimization
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
Language: Python - Size: 2.22 MB - Last synced at: 6 days ago - Pushed at: 3 months ago - Stars: 1,534 - Forks: 325
guan-yuan/awesome-AutoML-and-Lightweight-Models
A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.
Size: 150 KB - Last synced at: 18 days ago - Pushed at: almost 4 years ago - Stars: 853 - Forks: 160
aovoc/nnieqat-pytorch
A nnie quantization aware training tool on pytorch.
Language: Python - Size: 415 KB - Last synced at: 3 days ago - Pushed at: over 4 years ago - Stars: 239 - Forks: 39
zhiqiangdon/CU-Net
Code for "Quantized Densely Connected U-Nets for Efficient Landmark Localization" (ECCV 2018) and "CU-Net: Coupled U-Nets" (BMVC 2018 oral)
Language: Python - Size: 8.11 MB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 228 - Forks: 40
statsml/compress-net-notes
Size: 6.84 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 20 - Forks: 6
