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Advisor ⭐ 1,202

Open-source implementation of Google Vizier for hyper parameters tuning

Hyperparameter Optimization Of Machine Learning Algorithms ⭐ 1,025

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Adabelief Optimizer ⭐ 984

Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"

Tforce_btc_trader ⭐ 668

TensorForce Bitcoin Trading Bot

Cs231n 2020 Spring Assignment Solution ⭐ 99

solution for CS231n 2020 spring assignment

Kaggledays 2019 Gbdt ⭐ 93

Kaggle Days Paris - Competitive GBDT Specification and Optimization Workshop

Rlassistant ⭐ 66

RLA is a tool for managing your RL experiments automatically

Keras_gpyopt ⭐ 51

Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.

A computational library for learning and evaluating biological knowledge graph embeddings - please see the main PyKEEN repo at https://github.com/pykeen/pykeen/

E2e Learning Self Driving Cars ⭐ 39

🚗 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch implementation of "End-to-End Learning for Self-Driving Cars" (arXiv:1604.07316) with Udacity's Simulation env

Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)

Fraud_detection ⭐ 30

Tuning XGBoost hyper-parameters with Simulated Annealing

Transformer Tensorflow2.0 ⭐ 29

transformer in tensorflow 2.0

Sacred_hyperopt_example ⭐ 22

A minimal example for integrating a general machine learning training script with SACRED experimental framework, and HyperOpt (Distributed Asynchronous Hyperparameter Optimization).

Structure_via_consensus ⭐ 21

Towards Learning Structure via Consensus for Face Segmentation and Parsing (CVPR 2020)

Deep Emoji Gan ⭐ 18

being creative with AI and emojis 🙂 🤖

Multimodal_sleep_stage_benchmark ⭐ 16

Midi2vec ⭐ 15

MIDI2vec computes embeddings for representing MIDI data in vector space

Graph Isomorphism Networks ⭐ 15

A Tensorflow 2.0 implementation of Graph Isomorphism Networks.

Post Attribution Baselines ⭐ 13

The repository for the submission "Visualizing the Impact of Feature Attribution Baselines"

Sacred_hyperopt_v2 ⭐ 12

A collection of classes, methods and examples, to integrate SACRED experiment framework with hyperopt distributed training.

Cosmoflow ⭐ 11

Deep Multi Sensory Object Categorization ⭐ 11

Deep Multi-Sensory Object Category Recognition Using Interactive Behavioral Exploration

Classimbalancelearning ⭐ 11

This is the implementation code for the paper "Trainable Undersampling for Class-Imbalance Learning" published in AAAI2019

Aml Class 19 ⭐ 10

Lviv Data Science Summer School 2019 lecture on Automated Machine Learning

Keras_bayesianoptimization ⭐ 10

How to do Hyper-parameters search with Bayesian optimization for Keras model | DLology

Simulated_annealing ⭐ 10

An efficient hyper parameter tuning algorithm.

Pytorch Hyperlight ⭐ 9

The ML micro-framework built as a thin wrapper around PyTorch-Lightning and Ray Tune frameworks to push the boundaries of simplicity even further.

the hyper front-end engine of data science

Cori Intml Examples ⭐ 9

Examples for interactive distributed machine learning on the Cori supercomputer

Lightning Kitti ⭐ 9

Semantic Segmentation with Pytorch-Lightning

Hhai Wksh ⭐ 9

Hyper-Heuristic A.I. Workshop

Treewidth Prediction ⭐ 8

Prediction of Treewidth using Graph Neural Network, developed as part of PFN summer internship 2019.

Regularized Optimization for Hyper-Spectral Analysis

A disciplined approach to neural network parameters - Reviewing the approach for setting Hyper parameters by Leslie Smith

Deepcritiquingforrecsys ⭐ 8

Official Code Framework of the paper "Deep Language-based Critiquing for Recommender System"

Quantum Walk Graph Classifier

Issueslanguagemodel ⭐ 6

A Language model trained on a large corpus of GitHub Issues

Official TensorFlow implementation for "Supervised Domain Adaptation: A Graph Embedding Perspective and a Rectified Experimental Protocol" [TIP 2021] and "Supervised Domain Adaptation using Graph Embedding" [ICPR 2020]

Fake News Detection ⭐ 6

Fake News Detection: Model implementations and Hyper-Parameters

Denoising Gnn ⭐ 6

Implementation for Denoising Graph Neural Networks

Python implementation of randomized automatic tuning process for model hyper-parameters, building on Scikit-Learn GridSearchCV;

Ethereum Price Prediction Using Lstm ⭐ 5

Capstone project for the course Deep Learning as part of the master Data Science and Society.

a machine learning pipeline for analyzing CI results.

Hyper Optimizer ⭐ 5

Convenient classes for optimizing Hyper-parameters, using Random search, Spearmint and SigOpt

Tutorial_hyperparameter_optimization ⭐ 5

A tutorial on Hyper-Parameter Optimization

Scalable Hpo Pybay ⭐ 5

This repositorty will contain the code and slides for PyBay2020 talk: Scalable Hyper-parameter Optimization using RAPIDS and AWS

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