Tencent/PocketFlow
An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
Language: Python
#automl #deep_learning #mobile_app #model_compression
Stars: 280 Issues: 1 Forks: 51
https://github.com/Tencent/PocketFlow

KakaoBrain/fast-autoaugment
Official Implementation of 'Fast AutoAugment' in PyTorch.
Language: Python
#augmentation #automated_machine_learning #automl #cnn #computer_vision #convolutional_neural_networks #deep_learning #distributed #image_classification #pytorch
Stars: 111 Issues: 0 Forks: 9
https://github.com/KakaoBrain/fast-autoaugment

ypeleg/HungaBunga
HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!
Language: Python
#automl #brute #fit #force #kaggle #learning #machine #predict #scikit_learn #sklearn
Stars: 222 Issues: 3 Forks: 14
https://github.com/ypeleg/HungaBunga

mit-han-lab/once-for-all
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
Language: Python
#automl #efficient_model #imagenet #specialized_neural_networks
Stars: 100 Issues: 1 Forks: 8
https://github.com/mit-han-lab/once-for-all

google/automl
Google Brain AutoML
Language: Python
#automl #detection #efficientdet
Stars: 127 Issues: 2 Forks: 8
https://github.com/google/automl

h1st-ai/h1st
H1st AI solves the critical “cold-start” problem of Industrial AI: encoding human expertise to augment the lack of data, while building a smooth transition toward a machine-learning future. This problem has caused most industrial-AI projects to fail.
Language: Python
#automl #autonomous_vehicles #avionics #cold_start #collaboration #cybersecurity #data_science #datascience_environment #energy_optimization #ensemble_machine_learning #explainability #home_automation #human_in_the_loop #industrial_iot #predictive_maintenance #time_series #trustworthy_datascience
Stars: 166 Issues: 0 Forks: 46
https://github.com/h1st-ai/h1st