Amc Models[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Stars: ✭ 154 (-48.32%)
NniAn open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Stars: ✭ 10,698 (+3489.93%)
Awesome Automl And Lightweight ModelsA 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.
Stars: ✭ 691 (+131.88%)
allie🤖 A machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers).
Stars: ✭ 93 (-68.79%)
PocketflowAn Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
Stars: ✭ 2,672 (+796.64%)
nas-encodingsEncodings for neural architecture search
Stars: ✭ 29 (-90.27%)
clara-train-examplesExample notebooks demonstrating how to use Clara Train to build Medical Imaging Deep Learning models
Stars: ✭ 80 (-73.15%)
maggyDistribution transparent Machine Learning experiments on Apache Spark
Stars: ✭ 83 (-72.15%)
FEDOTAutomated modeling and machine learning framework FEDOT
Stars: ✭ 312 (+4.7%)
autogbt-altAn experimental Python package that reimplements AutoGBT using LightGBM and Optuna.
Stars: ✭ 76 (-74.5%)
deep autovimlBuild tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome. Permission granted upon request.
Stars: ✭ 98 (-67.11%)
mindwareAn efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
Stars: ✭ 34 (-88.59%)
ATMC[NeurIPS'2019] Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu, “Model Compression with Adversarial Robustness: A Unified Optimization Framework”
Stars: ✭ 41 (-86.24%)
Auto-SurpriseAn AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning 🚀
Stars: ✭ 19 (-93.62%)
AutoTabularAutomatic machine learning for tabular data. ⚡🔥⚡
Stars: ✭ 51 (-82.89%)
benderoptBlack-box optimization library
Stars: ✭ 84 (-71.81%)
SViTE[NeurIPS'21] "Chasing Sparsity in Vision Transformers: An End-to-End Exploration" by Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang, Zhangyang Wang
Stars: ✭ 50 (-83.22%)
codeflareSimplifying the definition and execution, scaling and deployment of pipelines on the cloud.
Stars: ✭ 163 (-45.3%)
EvolutionaryForestAn open source python library for automated feature engineering based on Genetic Programming
Stars: ✭ 56 (-81.21%)
EasyRecA framework for large scale recommendation algorithms.
Stars: ✭ 599 (+101.01%)
autodoOfficial PyTorch code for CVPR 2021 paper "AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation"
Stars: ✭ 19 (-93.62%)
OptGBMOptuna + LightGBM = OptGBM
Stars: ✭ 27 (-90.94%)
Meta-SACAuto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020
Stars: ✭ 19 (-93.62%)
BossNAS(ICCV 2021) BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search
Stars: ✭ 125 (-58.05%)
Awesome Automl PapersA curated list of automated machine learning papers, articles, tutorials, slides and projects
Stars: ✭ 3,198 (+973.15%)
ESNACLearnable Embedding Space for Efficient Neural Architecture Compression
Stars: ✭ 27 (-90.94%)
DLCV2018SPRINGDeep Learning for Computer Vision (CommE 5052) in NTU
Stars: ✭ 38 (-87.25%)
pymfePython Meta-Feature Extractor package.
Stars: ✭ 89 (-70.13%)
HyperGBMA full pipeline AutoML tool for tabular data
Stars: ✭ 172 (-42.28%)
FastPosepytorch realtime multi person keypoint estimation
Stars: ✭ 36 (-87.92%)
gcp-mlGoogle Cloud Platform Machine Learning Samples
Stars: ✭ 31 (-89.6%)
tsfusePython package for automatically constructing features from multiple time series
Stars: ✭ 33 (-88.93%)
AutogluonAutoGluon: AutoML for Text, Image, and Tabular Data
Stars: ✭ 3,920 (+1215.44%)
AutoSFY. Zhang, Q. Yao, J. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022
Stars: ✭ 51 (-82.89%)
AutoPrognosisCodebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.
Stars: ✭ 47 (-84.23%)
sparsifyEasy-to-use UI for automatically sparsifying neural networks and creating sparsification recipes for better inference performance and a smaller footprint
Stars: ✭ 138 (-53.69%)
simon-frontend💹 SIMON is powerful, flexible, open-source and easy to use machine learning knowledge discovery platform 💻
Stars: ✭ 114 (-61.74%)
AutodeeplabAutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch
Stars: ✭ 269 (-9.73%)
autovideoAutoVideo: An Automated Video Action Recognition System
Stars: ✭ 252 (-15.44%)
BitPackBitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.
Stars: ✭ 36 (-87.92%)
HyperKerasAn AutoDL tool for Neural Architecture Search and Hyperparameter Optimization on Tensorflow and Keras
Stars: ✭ 29 (-90.27%)
foreshadowAn automatic machine learning system
Stars: ✭ 29 (-90.27%)
autogoalA Python framework for program synthesis with a focus on Automated Machine Learning.
Stars: ✭ 153 (-48.66%)
Regularization-Pruning[ICLR'21] PyTorch code for our paper "Neural Pruning via Growing Regularization"
Stars: ✭ 44 (-85.23%)
sdsj-automlSberbank Data Science Jorney Auto-ML competition
Stars: ✭ 28 (-90.6%)
AutoTSAutomated Time Series Forecasting
Stars: ✭ 665 (+123.15%)
aikitAutomated machine learning package
Stars: ✭ 24 (-91.95%)