AuptimizerAn automatic ML model optimization tool.
Stars: ✭ 166 (+39.5%)
AutogluonAutoGluon: AutoML for Text, Image, and Tabular Data
Stars: ✭ 3,920 (+3194.12%)
EfficientnasTowards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906
Stars: ✭ 44 (-63.03%)
AdatuneGradient based Hyperparameter Tuning library in PyTorch
Stars: ✭ 226 (+89.92%)
PetridishnnCode for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search
Stars: ✭ 112 (-5.88%)
HypernetsA General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
Stars: ✭ 221 (+85.71%)
DartsDifferentiable architecture search for convolutional and recurrent networks
Stars: ✭ 3,463 (+2810.08%)
DeephyperDeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
Stars: ✭ 117 (-1.68%)
Coursera Deep Learning SpecializationNotes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
Stars: ✭ 188 (+57.98%)
Igela delightful machine learning tool that allows you to train, test, and use models without writing code
Stars: ✭ 2,956 (+2384.03%)
AutoSpeech[InterSpeech 2020] "AutoSpeech: Neural Architecture Search for Speaker Recognition" by Shaojin Ding*, Tianlong Chen*, Xinyu Gong, Weiwei Zha, Zhangyang Wang
Stars: ✭ 195 (+63.87%)
IresnetImproved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
Stars: ✭ 163 (+36.97%)
LibraErgonomic machine learning for everyone.
Stars: ✭ 1,925 (+1517.65%)
Deep architectA general, modular, and programmable architecture search framework
Stars: ✭ 110 (-7.56%)
syne-tuneLarge scale and asynchronous Hyperparameter Optimization at your fingertip.
Stars: ✭ 105 (-11.76%)
BossNAS(ICCV 2021) BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search
Stars: ✭ 125 (+5.04%)
Auto-SurpriseAn AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning 🚀
Stars: ✭ 19 (-84.03%)
Deeplearning.ai NotesThese are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.
Stars: ✭ 262 (+120.17%)
Scarlet NasBridging the gap Between Stability and Scalability in Neural Architecture Search
Stars: ✭ 140 (+17.65%)
nas-encodingsEncodings for neural architecture search
Stars: ✭ 29 (-75.63%)
Awesome Automl PapersA curated list of automated machine learning papers, articles, tutorials, slides and projects
Stars: ✭ 3,198 (+2587.39%)
Pnasnet.pytorchPyTorch implementation of PNASNet-5 on ImageNet
Stars: ✭ 309 (+159.66%)
BrevitasBrevitas: quantization-aware training in PyTorch
Stars: ✭ 343 (+188.24%)
Neural Backed Decision TreesMaking decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
Stars: ✭ 411 (+245.38%)
PbaEfficient Learning of Augmentation Policy Schedules
Stars: ✭ 461 (+287.39%)
Remo Python🐰 Python lib for remo - the app for annotations and images management in Computer Vision
Stars: ✭ 138 (+15.97%)
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 (+480.67%)
Smac3Sequential Model-based Algorithm Configuration
Stars: ✭ 564 (+373.95%)
Quickdraw Implementation of Quickdraw - an online game developed by Google
Stars: ✭ 805 (+576.47%)
Morph NetFast & Simple Resource-Constrained Learning of Deep Network Structure
Stars: ✭ 937 (+687.39%)
AutoclintA specially designed light version of Fast AutoAugment
Stars: ✭ 171 (+43.7%)
Pixel level land classificationTutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.
Stars: ✭ 217 (+82.35%)
Pnasnet.tfTensorFlow implementation of PNASNet-5 on ImageNet
Stars: ✭ 102 (-14.29%)
DnaBlock-wisely Supervised Neural Architecture Search with Knowledge Distillation (CVPR 2020)
Stars: ✭ 147 (+23.53%)
maggyDistribution transparent Machine Learning experiments on Apache Spark
Stars: ✭ 83 (-30.25%)
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 (+8889.92%)
HyperKerasAn AutoDL tool for Neural Architecture Search and Hyperparameter Optimization on Tensorflow and Keras
Stars: ✭ 29 (-75.63%)
mindwareAn efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
Stars: ✭ 34 (-71.43%)
sparsifyEasy-to-use UI for automatically sparsifying neural networks and creating sparsification recipes for better inference performance and a smaller footprint
Stars: ✭ 138 (+15.97%)
MishOfficial Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
Stars: ✭ 1,072 (+800.84%)
ArtificioDeep Learning Computer Vision Algorithms for Real-World Use
Stars: ✭ 326 (+173.95%)
AdanetFast and flexible AutoML with learning guarantees.
Stars: ✭ 3,340 (+2706.72%)
Hpbandstera distributed Hyperband implementation on Steroids
Stars: ✭ 456 (+283.19%)
Lightnet🌓 Bringing pjreddie's DarkNet out of the shadows #yolo
Stars: ✭ 322 (+170.59%)
Tensorflow 101TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow
Stars: ✭ 642 (+439.5%)
Auto SklearnAutomated Machine Learning with scikit-learn
Stars: ✭ 5,916 (+4871.43%)
DevolGenetic neural architecture search with Keras
Stars: ✭ 925 (+677.31%)
Meme GeneratorMemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user.
Stars: ✭ 57 (-52.1%)
Autodl ProjectsAutomated deep learning algorithms implemented in PyTorch.
Stars: ✭ 1,187 (+897.48%)
AutokerasAutoML library for deep learning
Stars: ✭ 8,269 (+6848.74%)
MlprimitivesPrimitives for machine learning and data science.
Stars: ✭ 46 (-61.34%)
Mtlnas[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning
Stars: ✭ 58 (-51.26%)
Tune SklearnA drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
Stars: ✭ 241 (+102.52%)
Neural PipelineNeural networks training pipeline based on PyTorch
Stars: ✭ 315 (+164.71%)
Fast AutoaugmentOfficial Implementation of 'Fast AutoAugment' in PyTorch.
Stars: ✭ 1,297 (+989.92%)
LightwoodLightwood is Legos for Machine Learning.
Stars: ✭ 115 (-3.36%)