DataSystemsGroupUT / AutoML_Survey

Related projects ⓘ

Alternatives and complementary repositories for AutoML_Survey

• DeepBlueAI / AutoSmart
  ☆249Updated 3 years ago
• dragen1860 / awesome-AutoML
  A curated list of AutoML papers/tutorials/slides etc.
  ☆90Updated 5 years ago
• yzhao062 / awesome-ensemble-learning
  Ensemble learning related books, papers, videos, and toolboxes
  ☆291Updated 5 years ago
• flytxtds / AutoGBT
  AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data streams under concept-dr…
  ☆114Updated 4 years ago
• yzhao062 / combo
  (AAAI' 20) A Python Toolbox for Machine Learning Model Combination
  ☆642Updated last year
• dialnd / imbalanced-algorithms
  Python-based implementations of algorithms for learning on imbalanced data.
  ☆235Updated 2 years ago
• cgnorthcutt / benchmarking-keras-pytorch
  🔥 Reproducibly benchmarking Keras and PyTorch models
  ☆367Updated 3 years ago
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆706Updated 3 years ago
• yzhao062 / SUOD
  (MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)
  ☆380Updated 9 months ago
• xiaomi-automl / FairNAS
  FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search
  ☆303Updated 3 months ago
• lyakaap / pytorch-template
  My PyTorch project template (for Kaggle and research)
  ☆147Updated 5 years ago
• zhanghang1989 / HPO2NAS-Tutorial-CVPR-ECCV2020
  Hands-on Tutorial on Automated Deep Learning
  ☆148Updated 4 years ago
• bojone / keras_lookahead
  lookahead optimizer for keras
  ☆170Updated 5 years ago
• Ibotta / sk-dist
  Distributed scikit-learn meta-estimators in PySpark
  ☆285Updated 6 months ago
• alteryx / Automated-Manual-Comparison
  Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.
  ☆327Updated 4 years ago
• jhwjhw0123 / Imbalance-XGBoost
  XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions
  ☆304Updated 8 months ago
• OverLordGoldDragon / keras-adamw
  Keras/TF implementation of AdamW, SGDW, NadamW, Warm Restarts, and Learning Rate multipliers
  ☆167Updated 2 years ago
• 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,…
  ☆845Updated 3 years ago
• openml / automlbenchmark
  OpenML AutoML Benchmarking Framework
  ☆405Updated this week
• alshedivat / meta-blocks
  A modular toolbox for meta-learning research with a focus on speed and reproducibility.
  ☆123Updated last year
• benoitdescamps / Neural-Tree
  Tensorflow implementation of a Tree
  ☆36Updated 5 years ago
• jermainewang / dgl
  The official repo is https://github.com/dmlc/dgl . THIS IS A FORK.
  ☆154Updated last year
• PKUAI26 / Deep-Learning-Advanced-Topics
  ☆153Updated 4 years ago
• renqianluo / NAO
  Neural Architecture Optimization
  ☆286Updated 3 years ago
• motefly / DeepGBM
  SIGKDD'2019: DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks
  ☆649Updated 3 months ago
• Xtra-Computing / thundergbm
  ThunderGBM: Fast GBDTs and Random Forests on GPUs
  ☆693Updated 9 months ago
• paperswithcode / sotabench-eval
  Easily evaluate machine learning models on public benchmarks
  ☆171Updated 7 months ago
• alvinwan / neural-backed-decision-trees
  Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
  ☆609Updated last year
• mhmoodlan / cyclic-learning-rate
  Cyclic learning rate TensorFlow implementation.
  ☆66Updated 5 years ago
• kakaobrain / autoclint
  A specially designed light version of Fast AutoAugment
  ☆171Updated 4 years ago